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954 Mathematics (T) Archive

954 mathematics (t) files, 954 mathematics (t).

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Exploring The Structure For STPM Maths T 2024

29 November 2023

7 minutes to read

• 01. Topics Covered In Term 1: Algebra and Geometry
• 02. Topics Covered In  Term 2: Calculus
• 03. Topics Covered In Term 3: Statistics
• 04. Latest Exam Format For The STPM Mathematics T Written Test
• 05. Overview Guideline For STPM Mathematics T Coursework

Do you know what's one of the most effective ways to solve a big problem?

By breaking it into smaller problems.

As Form 6 students, you might be taken aback when you're told that there are a total of 18 chapters to cover for your STPM Maths T subject, for instance.

But what if I told you that you have three semesters to learn them and only be tested on 6 topics each semester? It does take some burden off your shoulders, right?

In this article, we will discuss the STPM Maths T syllabus for each term and the latest examination format for this subject.

Topics Covered In Term 1: Algebra and Geometry

Throughout the three semesters, you will learn a total of 18 chapters (6 chapters per semester).

Here are the six chapters that you will study during your first semester.

• Chapter 1: Functions [28 teaching period] 

In this chapter, you will be taught polynomial and rational functions, exponential and logarithmic functions, as well as trigonometric functions.

• Chapter 2: Sequences and Series [18 teaching period] 

In this chapter, you will be taught on core principles and formulas of sequences and series as well as binomial expansions.

• Chapter 3: Matrices [16 teaching period] 

In this chapter, you will learn about various operations revolving matrices as well as different systems of linear equations.

• Chapter 4: Complex Numbers [12 teaching period] 

In this chapter, you will learn about what are real and imaginary parts of complex numbers, how to present an Argand diagram, perform elementary operations for complex numbers and also apply de Moivre’s theorem.

• Chapter 5: Analytic Geometry [14 teaching period] 

In this chapter, you will master the methods to transform a given equation of a conic into the standard form and find the vertex, focus and directrix of a parabola, ellipse and hyperbola.

• Chapter 6: Vectors [20 teaching period] 

In this chapter, you will learn about vectors in two and three dimensions as well as various elements of vector geometry.

Learn more about the advantages that you can gain when you learn and master STPM Maths T as a Form Six student.

Topics Covered In  Term 2: Calculus

Now, let's move on to the second semester.

Here is the breakdown of sub-topics that will be covered in the following six chapters under the theme of calculus.

• Chapter 7: Limits and Continuity [12 teaching period] 

In this chapter, you will learn how to determine the existence and values of the lefthand limit, right-hand limit and limit of a function; the continuity of a function at a point and on an interval; and also apply the intermediate value theorem.

• Chapter 8: Differentiation [28 teaching period] 

In this chapter, you will learn to master sub-topics like derivatives and different applications of differentiations.

Furthermore, you'll learn how to perform implicit differentiation, determine the stationary points, extremum points and points of inflexion; find the equations of tangents and normals to curves, including parametric curves and many more.

• Chapter 9: Integration [28 teaching period] 

In this chapter, you will be taught about different sub-topics like indefinite integrals, and definite integrals.

You will learn how to integrate rational functions by means of decomposition into partial fractions, perform integration by parts; calculate the area of a region bounded by a curve (including a parametric curve) and many more.

• Chapter 10: Differential Equations [ 14 teaching period] 

In this chapter, you will learn about first-order differential equations with separable variables, first-order linear differential equations utilizing an integrating factor and how to use a boundary condition to find a particular solution.

At the end of this chapter, you will master the skill to solve problems that are related to science and technology which can be modelled by differential equations.

• Chapter 11: Maclaurin Series [12 teaching period] 

In this chapter, you will learn how to determine the Maclaurin series for a function and the interval of convergence.

You will also learn the difference between standard series and power series as well as how to use series expansions to find the limit of a function.

• Chapter 12: Numerical Methods [14 teaching period] 

In this chapter, you will learn about the numerical solution of equations and numerical integration.

Some of the learning outcomes under the subtopic of numerical solution of equations include locating the root of an equation approximately using graphical considerations and searching for a sign change and many more.

Under numerical integration, you will learn how to use the trapezium rule and sketch graphs to determine whether the trapezium rule gives an overestimation or an underestimation in simple cases.

Dive deep into these tips to score well for your STPM Maths T papers .

Topics Covered In Term 3: Statistics

We've arrived at our final semester for your STPM Maths T syllabus.

Similarly, you will be taught 6 chapters.

• Chapter 13: Data Description

In this chapter, you will study discrete, continuous, ungrouped and grouped data, and expand on the concepts of mode, median and interquartile range based on what you have learned during your SPM studies.

You will also learn more about the appropriate measures of central tendency and measures of dispersion and apply the Pearson coefficient of skewness .

• Chapter 14: Probability

Apart from learning about the addition and multiplication principle of various probability operations, you will also learn how to calculate conditional probabilities and identify independent events in this chapter.

• Chapter 15: Probability Distributions

In this chapter, you will study the properties and direct application of discrete random variables, continuous random variables, binomial distribution, Poisson distribution and normal distribution.

• Chapter 16: Sampling and Estimation

In this chapter, some of the major learning outcomes that you will master include learning the differences between a population and a sample, and between a parameter and a statistic as well as determining and interpreting a confidence interval for the population mean based on a sample from a normally distributed population with known variance.

• Chapter 17: Hypothesis Testing

In this chapter, you will learn how to explain what a hypothesis and alternative hypothesis are, as well as the significance level of a test. You will also master the ability to carry out various hypothesis tests for different samples.

• Chapter 18: Chi-Squared Tests

In this chapter, you will learn how to use the chi-squared distribution tables and identify the chi-squared statistic.

From there, you will get to apply the goodness of fit test and test of independence for different problems.

Latest Exam Format For The STPM Mathematics T Written Test

After reviewing all the topics that will be covered for your STPM Maths T subject, let's now look at the examination structure for your assessments.

Every semester, candidates will sit for one written test. It is a central assessment and the test duration is 1 hour and 30 minutes. 

There are two sections for each STPM Maths T written test.

For Section A, candidates have to answer 6 questions of variable marks. The total mark for section A is 45 marks.

For Section B, candidates can choose from two question options. The total mark for section B is 15 marks.

The full mark for each written test is therefore 60 marks, which will be rounded up to 26.67% in terms of weightage to calculate the overall grade for your STPM Maths T subject.

Don't forget to look through these amazing learning resources for your STPM Maths T papers .

Enhance Your STPM Maths T Revision Journey With A Superprof Tutor

Since you'll be preparing for a written test that involves different topics each semester, it could be an overwhelming process.

Instead of going through the revision journey all by yourself, why not study the STPM Maths T subject under the guidance of an experienced Maths tutor?

With Superprof, you can find a reliable Maths tutor who can help you strengthen your comprehension of all the taught topics for each semester consistently.

That way, you don't have to worry about the lack of preparation or the lack of practice before sitting for the actual exam. You can also master the marking rubrics of your STPM Maths T papers .

Not only that, you also get to enjoy a flexible learning experience because you can opt to learn from a home tutor or online tutor with the help of Superprof.

Visit the Superprof Malaysia homepage to kickstart your STPM Maths T revision journey today.

Overview Guideline For STPM Mathematics T Coursework

Apart from your written test, you will also need to complete three assignments (coursework) throughout the three terms.

Unlike your written test, your coursework assessment will be graded by your subject teacher. Each semester, you will be given a different assignment task (based on the taught topics that semester).

You need to come out with a written report and undergo a viva session to receive your grade.

What Should Be Included In Your Complete Written Report Each Semester

Read the following information carefully as you prepare your report.

Don't forget to print out and complete the declaration statement and attach it to your report before the final submission.

The total mark allocation for your report is 40 marks.

• Introduction

Include the title of the report and describe the problem in your introduction.

• Methodology

Write down the application of appropriate methods to address the given problem. You should also list the collection of relevant data and information under this section.

You should include mathematical calculations and the final results with mathematical reasoning. Based on that, you should also interpret your results systematically.

You should discuss and summarise the outcomes of your assignment report.

Things To Take Note For Each Viva (Presentation) Session

The complete mark for your viva session is 20 marks.

• Understanding of the assignment

You need to provide complete and accurate explanations alongside critical discussion using appropriate terminology based on your assignment report.

• Communication

You should present the relevant explanations and examples clearly and effectively.

Important tip: Be calm and confident during the Q and A session after presenting your points.

We hope you have gained a new understanding towards the overall syllabus and examination format for your STPM Maths T subject through this article.

All the best!

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Math Methodology: Instruction: Introduction to Teaching Challenges and Improving Instruction

Part 1: Math Methodology: Instruction

Introduction to Teaching Challenges

Teacher goal setting.

• Goal 1 : Acquire adequate planning and classroom management skills and effective discipline and motivation strategies.
• Goal 2 : Know and apply standards, benchmarks, and curriculum frameworks.
• Goal 3 : Develop a range of instructional and assessment methods and test preparation methods.
• Improving Instruction :
• Attention to theory and research
• Learning styles, multiple intelligences and thinking styles
• Differentiated instruction and the educator's ideology

Bloom's Taxonomy and Levels of Understanding

• The Instruction Essay (Page 2 of 3) : Teaching Mathematics Right the First Time: Learning for Understanding, a focus on strategies for putting research into practice
• The Instruction Essay (Page 3 of 3) addresses the needs of students with math difficulties and contains the following subsections:
• Sources of Math Difficulties
• Prevention and Intervention Principles
• Assessing Mathematics Learning Needs and Associated Teaching Strategies
• Response to Intervention / Multi-Tiered Systems of Support Resources
• Math Methodology Instruction Resources includes four sections with resources specific to the Common Core, for all learners, for special needs learners, and for the instructional environment and improving behaviors.

Part 2: Math Methodology: Assessment essay and resources

Part 3: Curriculum: Content and Mapping and resources

"A student is not a container you have to fill, but a torch you have to light up." --Albert Einstein

"[E]xcellence in teaching is the single most powerful influence on achievement." --John Hattie (2003, p. 4)

Drawing upon research and an extensive collection of evidence from multiple sources, the Common Core State Standards (2010) were developed to reflect the knowledge and skills that young people need for success in college and careers.  Those standards have impacted teachers in several ways, including to guide them "toward curricula and teaching strategies that will give students a deep understanding of the subject and the skills they need to apply their knowledge" ( Common Core State Standards Initiative FAQ ).  For many the standards required changes in curriculum materials and how mathematics is taught, thus they have influenced instructional strategies that educators use.

Unfortunately, since 2010 evidence suggests that the impact of the Common Core State Standards (CCSS) on achievement has been weak, primarily owing to their weak implementation.  Per Morgan Polikoff (in Polikoff, Petrilli, & Loveless, 2020) standards implementation has been difficult because "The U.S. system of public education makes implementation of any policy, but especially one that targets the instructional core, close to impossible" (p. 75) and that needs to be fixed.  Teachers are receiving too many conflicting messages about classroom approaches (e.g., via "weak instructional supervision, inadequate alignment among policy instruments, and multiple layers of bureaucracy").  He suggests that policy leaders take curriculum more seriously so that teachers won't feel the need to cobble "together curricula from random, unregulated websites" and that they "be given more support to effectively implement their [school district] adopted materials."  These latter could come from "a small number of curricular options" selected by the state (p. 75).

It's important to note, however, that the CCSS have had staying power.  Although 46 of 50 states originally adopted them, "A lot of states have renamed the standards or even “repealed” them—but in almost every state, what is in place now looks an awful lot like the Common Core as originally written" (Polikoff, Petrilli, & Loveless, 2020, p. 75).

When it comes to student achievement, teachers matter.  Your primary goal and role as an educator is to positively affect achievement in all you do.  If you become a teacher, you'll soon learn, however, that there are multiple sources of variance in predicting achievement.  Per Hattie (2003), "It is what students bring to the table that predicts achievement more than any other variable," accounting for about 50% of that variance (p. 1).  This is followed by the influence of teachers, who account for about 30% of that variance.  "It is what teachers know, do, and care about which is very powerful in this learning equation" (p. 2).  The home, schools (including their principals), and peer effects account for the remaining major sources of variance, about 5-10% each.  But, it is excellence in teachers, not just teachers, that makes a difference (Hattie, 2003).

"What teachers know, do, and care about" (Hattie, 2003) can be felt in Alan November's (2016) "7 questions that every new teacher should be able to answer" to be successful in the 21st century.  He related each of those to a second question that redefines a teacher's potential added value in changing the culture of a classroom with technology and the internet.  In his words:

• What do you know about your subject?  How do you manage your own professional growth?
• How do you share what you already know with your students? How do you teach students to learn what you don't know?
• How do you teach students to solve problems?  How do you teach students to become problem designers ?
• How do you assess student work that is handed in to you?  What are your expectations for students to self-assess their work and publish it for a wider audience?
• What is your contribution to our faculty?  What is your global relationship?
• How do you make sure students are on task?  How do you give students the opportunity to contribute purposeful work to others?
• How do you manage your classroom?  How do you teach students to manage their own learning? (November, 2016)

But, what is teaching?

Various definitions of teaching over time have been proposed and certainly a working definition of the term is needed, if one is to discuss all the challenges involved in teaching.  According to Hiebert and Grouws (2007), "Teaching consists of classroom interactions among teachers and students around content directed toward facilitating students’ achievement of learning goals" (p. 372).  Further, this definition notes a two-way process and makes teaching "largely under the control of the teacher" (p. 377).

Consider the complexities of teaching as viewed by the National Board for Professional Teaching Standards (NBPTS, 2002):

The fundamental requirements for proficient teaching are relatively clear: a broad grounding in the liberal arts and sciences; knowledge of the subjects to be taught, of the skills to be developed, and of the curricular arrangements and materials that organize and embody that content; knowledge of general and subject-specific methods for teaching and for evaluating student learning; knowledge of students and human development; skills in effectively teaching students from racially, ethnically, and socioeconomically diverse backgrounds; and the skills, capacities and dispositions to employ such knowledge wisely in the interest of students" (NBPTS, 2002, p. 2, What Teachers Should Know section, para. 2).

The NBPTS make it clear that:

This enumeration suggests the broad base for expertise in teaching but conceals the complexities, uncertainties and dilemmas of the work. The formal knowledge teachers rely on accumulates steadily, yet provides insufficient guidance in many situations. Teaching ultimately requires judgment, improvisation, and conversation about means and ends. Human qualities, expert knowledge and skill, and professional commitment together compose excellence in this craft. (NBPTS, 2002, p. 2, What Teachers Should Know section, para. 3).

Ulrich Boser (2019) summed up teaching in another way, stating the "[s]cience of learning principles just don’t seem to be making their way into teacher training or professional development programs" and this "body of knowledge is certainly not the only thing that teachers need to know to teach well."

Teaching is an immensely complex profession. Teachers have to know their discipline well, understand students’ current knowledge base, address behavioral and motivational problems, collaborate with other teachers and administrators on curriculum design, interact with parents, notice signs of potential issues students may be having at home, integrate quantitative and qualitative measures of student learning, and constantly adapt to changing student populations and a changing regulatory environment. (Boser, 2019, Discussion section)

Regardless of level of experience, teachers always are challenged with how to motivate learners, particularly when you consider the extent of diversity encountered in many schools in the United States. Such diversity involves "understanding that each individual is unique, and recognizing our individual differences." and "knowing how to relate to those qualities and conditions that are different from our own and outside the groups to which we belong, yet are present in other individuals and groups"  (Rutgers University, n.d., Diversity and Inclusion Initiatives: About section ).  Consider that learners and teachers themselves bring to the learning environment a host of variables, such as beliefs, attitudes, perceptions, self-efficacy, motivation, learning styles, habits of mind, cultural influences and demographics (e.g., male/female, sexual orientation, ethnicity, ability/disability, socio-economic status, religion/spirituality, etc.). It is certainly helpful for teachers to be aware of their personal biases, beliefs, and attitudes, as those influence interactions with learners.  Also beware of stereotyping, a cognitive bias, as it is assigning characteristics to individuals without knowing anything about them.

It is also important to note Hiebert and Grouws (2007) who stated, "Characteristics of teachers surely can influence their teaching, but these characteristics do not determine their teaching. Teachers with different characteristics can teach in essentially the same way and vice versa" (p. 377).

• Using precise terminology to describe what students will learn
• Undertaking purposeful instructional planning and delivery
• Employing purposeful assessment
• Applying deliberate assessment and feedback strategies (p. 7).

The Big Four is just the tip of the iceberg.  Teachers also accept responsibility for student success, develop communities of respect, and help students become partners in their own success.  They take on three instructional roles: direct instructor, facilitator, and coach (Tomlinson & McTighe, 2006). Their professional responsibilities include reflecting on their own teaching, maintaining accurate records, communicating with families, participating in professional communities, growing professionally in content and pedagogical skills, and showing professionalism with their own integrity and ethical conduct (Danielson, 2007, ch. 1).

The fundamental challenges of the teaching profession are also well-articulated in Connecticut's 2010 Common Core of Teaching , which includes "six domains and 46 indicators that identify the foundational skills and competencies that pertain to all teachers, regardless of the subject matter, field or age group they teach" (p. 2).  They are useful for teacher preparation programs, beginning teachers, and experienced teachers.  For example, among professional responsibilities, the Connecticut Department of Education (2010) indicated "Continually engaging in reflection, self-evaluation and professional development to enhance their understandings of content, pedagogical skills, resources and the impact of their actions on student learning" (p. 10).  Collaboration and proactive communication with colleagues, administrators, students, and families are featured elements, as are understanding the legal rights of individuals with disabilities, and the role that race, gender, and culture might have on professional interactions with students, families, and colleagues, and ethical uses of technology.

With all this in mind, Carole Frederick Steele (2009) would add that teachers need to be adept at improvising, interpreting events in progress, testing hypotheses, demonstrating respect, showing passion for teaching and learning, and helping students understand complexity.  Fortunately, she reminded us that "No teacher is likely to excel at every aspect of teaching....What experts attend to and ignore is markedly different from what beginners notice. The growth continuum ranges from initial ignorance (unaware) to comprehension (aware) to competent application (capable) to great expertise (inspired)," paralleling Bloom's taxonomy.  "Lack of awareness occurs before Bloom's categories. The awareness stage is a fair match for Bloom's stage of knowledge and understanding. Teachers at the capable stage use application and analysis well. Educators who reach the inspired stage have become skilled at synthesis and evaluation in regard to their thinking about teaching and learning" (Introduction section).

Teaching experience matters (Kini & Podolsky, 2016).  "What distinguishes the beginning from the accomplished teacher is the degree of sophistication in the application of the knowledge and skills" (Council of Chief State School Officers, 2011, p. 8).  However, years of experience does not equate to being an expert.  From a review of literature and a synthesis of over 500,000 studies on differences between experience and expertise in teaching, Hattie and colleagues (2003) identified five major dimensions illustrating the expertise of excellent teachers and then elaborated on 16 attributes within those.  Expert teachers:

• can identify essential representations of their subject,
• can guide learning through classroom interactions,
• can monitor learning and provide feedback,
• can attend to affective attributes, and
• can influence student outcomes. (p. 5)

W. James Popham (2009) summed up the nature of teaching in the 21st century.  He stated, "once we strip away its external complexities, teaching boils down to teachers' deciding what they want their students to learn, planning how to promote that learning, implementing those plans, and then determining if the plans worked" (Preface section, para. 7).

So where does one begin?

Resources on the current page will assist you with your knowledge of students and instructional practices. CT4ME's section on Professional Development includes a variety of resources to assist you with becoming more knowledgeable about the mathematics content you teach and how to enhance your teaching skills. Our section on Standardized Test Preparation provides solid advice and resources. Technology Integration will assist you with strategies for incorporating technology into your instruction, including designing your classroom web site, and incorporating multimedia into math projects. You can learn more about scientifically based research and action research at our Education Research section.

What are the Dimensions of Learning?

• Positive attitudes and perceptions about learning
• Acquiring and integrating knowledge
• Extending and refining knowledge
• Using knowledge meaningfully
• Productive habits of mind.

Source: Marzano, R., & Pickering, D. (1997). Dimensions of learning teacher's manual (2nd ed.) . Alexandria, VA: ASCD.

What are "Habits of Mind"?

• Managing impulsivity
• Listening with understanding and empathy
• Thinking flexibly
• Thinking about thinking (metacognition)
• Striving for accuracy
• Questioning and posing problems
• Applying past knowledge to new situations
• Thinking and communicating with clarity and precision
• Gathering data through all senses
• Creating, imagining, innovating
• Responding with wonderment and awe
• Taking responsible risks
• Finding humor
• Thinking interdependently
• Remaining open to continuous learning

Source: Costa, A. L. (n.d.). Describing 16 habits of mind .  https://www.habitsofmindinstitute.org/about-us/hear-art/

Costa and Kallick (2008) elaborate on this topic in Learning and Leading with Habits of Mind: 16 Essential Characteristics for Success

What Mindsets Drive Teacher Effectiveness?

Source: Costa, A., Garmston, R., & Zimmerman, D. (2012, November 8). What mind-sets drive teacher effectiveness? ASCD Express, 8 (3). http://web.archive.org/web/20150509012230/http://www1.ascd.org/ascd-express/vol8/803-costa.aspx

What impact does a growth mindset have on learners?

Dweck is also author of Mindsets and Math/Science Achievement (2008), an article prepared for the Carnegie Corporation of New York-Institute for Advanced Study.  She provided evidence that mindsets "can predict math/science achievement over time" and "can contribute to math/science achievement discrepancies for women and minorities."  Further, "interventions that change mindsets can boost achievement and reduce achievement discrepancies; and educators play a key role in shaping students’ mindsets" (p. 2).

Caution : In revisiting growth mindset, Dweck (2015) cautioned that misinterpretations of mindset concepts can actually harm students by perpetuating the failed self-esteem movement.  " A growth mindset isn’t just about effort.   Perhaps the most common misconception is simply equating the growth mindset with effort. Certainly, effort is key for students’ achievement, but it’s not the only thing. Students need to try new strategies and seek input from others when they’re stuck. They need this repertoire of approaches—not just sheer effort —to learn and improve" (para. 5).  So, mindset concepts are not about praising students' effort just to make them feel good, even if they are not learning.  "The growth mindset was intended to help close achievement gaps, not hide them. It is about telling the truth about a student’s current achievement and then, together, doing something about it, helping him or her become smarter" (para. 7).

Caution : Research on growth mindset has mixed reviews on its effectiveness.  Citing the research, the Advocates for the Science of Math (2021b) addressed the misconception that a growth mindset increases math achievement .  They stated: "Intervention research on stand-alone growth mindset interventions yield minimal gains on GPA in mathematics courses and replication attempts have failed. The most effective way to improve academic achievement is to deliver skill-building intervention."

Harry Fletcher-Wood (2022) addressed this issue in his article, Is growth mindset real? New evidence, new conclusions and posed the following question: "How can robust studies show having a growth mindset makes no difference – and then a robust study show that encouraging a growth mindset makes a difference?"

Also consider:

Burgoyne, A. P., Hambrick, D. Z., & Macnamara, B. N. (2020). How firm are the foundations of mind-set theory? The claims appear stronger than the evidence . Psychological Science, 31 (3), 258-267.

Their "results suggest[ed] that the foundations of mind-set theory are not firm and, in turn, call into question many assumptions made about the importance of mind-set. Given the public spotlight on mind-set, it may be prudent for mind-set researchers to temper strongly worded claims" (p. 9).

What strategies promote a "growth mindset" in motivating students for math?

Researchers at the University of Esssex in the UK (Sparks, 2019) noted the following approaches shown to encourage a student's growth mindset in math:

• "Have multiple methods, pathways, and representations.
• Give students opportunities to conduct their own inquiries.
• Ask the problem before teaching the method to solve it.
• Ask students to explain the math in a visual representation, such as a chart.
• Use a task that can engage students of both higher and lower math ability.
• Ask students to reason out and convince someone of their findings." (para. 3)

CueThink is one tool designed "to foster a growth mindset and empower students to see challenges as opportunities."  It is presented as "an innovative application and a pedagogy focused on improving critical thinking skills and math collaboration for students in grades 2-12."  This tablet and web-based product "captures and presents the thinking process and cognition."  Students create a video vignette of their solutions, post to a gallery, and receive feedback from peers and their teacher, thus making math social.  George Polya's four-step problem solving method is used: understand, plan, solve, and review.

Use the following resources to learn more about growth mindsets:

Class Dojo: Ideas has a video series on developing a growth mindset, which was created in collaboration with Carol Dweck.  It is meant for young learners.  Explore this big idea with animated characters, Mojo and Katie.

Mindset Works has resources, teaching strategies, and how to promote mindset in your school.  See free resources .

The Mindset Kit , produced by PERTS (Project for Education Research That Scales) at Stanford University is "a free, online resource designed to help educators and parents learn about adaptive academic mindsets, learn practices that promote these mindsets, and download activity ideas" (PERTS description).  Note: There are a series of Learnstorm Growth Mindset Actitivies for elementary and high school learners posted on Khan Academy.  These were developed in partnership with PERTS.

Youcubed at Stanford University promotes a growth mindset with teaching ideas, a searchable database of tasks, and videos (e.g., number talks, brain science, enquiry based learning, etc.).  The site includes a Mathematical Mindset Teaching Guide designed "to help teachers create or strengthen a growth mindset culture. This guide contains five Mathematical Mindset Practices along with links to teaching videos."

How might you help learners overcome their belief that they can't do math?

Daniel Willingham, a cognitive scientist, addressed this question in his American Educator article (Winter 2009-2010): Is It True That Some People Just Can't Do Math?   His response:

"While it is true that some people are better at math than others -- just like some are better than others at writing or building cabinets or anything else -- it is also true that the vast majority of people are fully capable of learning K-12 mathematics.  Learning mathematics does not come as naturally as learning to speak, but our brains do have the necessary equipment.  So learning math is somewhat like learning to read: we can do it, but it takes time and effort, and requires mastering increasingly complex skills and content.  Just about everyone will get to the point where they can read a serious newspaper, and just about everyone will get to the point where they can do high-school level algebra and geometry -- even if not everyone wants to reach the point of comprehending James Joyce's Ulysses or solving partial differential equations" (p. 14).

Living Proof: Stories of Resilience Along the Mathematical Journey was published by the American Mathematical Society and the Mathematical Association of America in 2019.  It begins by noting "Somehow, when we encounter difficulties in mathematics, our natural tendency is to retreat, to think it’s too hard, we’re not smart enough, or we’re not “math people." .... There are no such people. People who succeed in mathematics, like people who learn a musical instrument or a new language, spend a lot of time not understanding and feeling frustration. The path to understanding in mathematics necessarily involves, in the words of Steve Klee, being “willing to struggle.’’ It is strange that people do not understand this about mathematics when it is commonplace in essentially every other field of human endeavor’’ (p. v).

"The ability to succeed in a mathematical program should not be hindered by a person’s gender, race, sexuality, upbringing, culture, socio-economic status, educational background, or any other attribute" (p. ix).  So, in this ebook, freely available online, you'll read the stories of success and struggle from real people who took on the challenge of learning mathematics.  You'll also get insight into a wide range of careers involving mathematics.

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• adequate planning and effective classroom management, effective discipline and knowledge of motivation strategies;
• knowledge of subject matter standards and benchmarks, curriculum frameworks; and
• developing a range of instructional and assessment strategies and test preparation methods.

Goal 1: Acquire adequate planning and classroom management skills and effective discipline and motivation strategies.

What's classroom management all about.

The American Psychological Association, Coalition for Psychology in Schools and Education (2015) identified the top 20 principles from psychology "that would be of greatest use in the context of preK–12 classroom teaching and learning" (p. 3).  Two of those address classroom management:

• "Expectations for classroom conduct and social interaction are learned and can be taught using proven principles of behavior and effective classroom instruction."
• "Effective classroom management is based on (a) setting and communicating high expectations, (b) consistently nurturing positive relationships, and (c) providing a high level of student support." (p. 1)

Classroom management plays a significant role in effective teaching and ultimate achievement of learners.  It occurs at two levels--what can be seen in the classroom during actual contact with learners, and what goes on "behind-the-scenes" outside of the classroom. The latter would typically include planning and follow-up activities that teachers do in connection with classroom management.

Per Kratochwill (n.d., Introduction section), "Although there is no agreed-upon definition of classroom management, the framework offered by Evertson and Weinstein (2006) represents a current and widely accepted view. According to Evertson and Weinstein, classroom management has two distinct purposes: “ It not only seeks to establish and sustain an orderly environment so students can engage in meaningful academic learning, it also aims to enhance student social and moral growth ” (p. 4).  It's more than organizing the physical space for student safety and easy access to materials. It's more than deciding how you will manage classroom procedures, instructional groups and student behavior. It means creating a classroom environment of respect and rapport, and a culture for learning (Danielson, 2007, ch. 1).

In terms of enhancing a culture of learning, technology can also assist teachers in planning and managing tasks they typically do, including communicating with parents.  Teachers can use online calendars and to-do lists and online lesson planning tools.  Rather than making multiple copies of class handouts, they can post a single copy to a class website.  They can use online grade books and grading tools.  Technology enables them to create assessments with a variety of apps, and to provide individualized feedback to electronic documents/assignments submitted by their learners.  They can even use technology to manage the noise level in the classroom.

How does the classroom environment affect motivation?

Teachers should we aware of four principles on what motivates students.  According to the American Psychological Association, Coalition for Psychology in Schools and Education (2015):

• "Students tend to enjoy learning and perform better when they are more intrinsically than extrinsically motivated to achieve."
• "Students persist in the face of challenging tasks and process information more deeply when they adopt mastery goals rather than performance goals."
• "Teachers’ expectations about their students affect students’ opportunities to learn, their motivation, and their learning outcomes."
• "Setting goals that are short term (proximal), specific, and moderately challenging enhances motivation more than establishing goals that are long term (distal), general, and overly challenging." (p. 1)

In an effective classroom environment, Sullo (2009) indicated that there is no fear factor, which some teachers themselves invoke just by their tone and what they say in reaction to learners' deeds and actions.  Sometimes teachers are not even aware of the affect their sarcasm and negativism might have on motivation.  In a culture of success, the teacher's message should be "This is important.  You can do it.  I won't give up on you" (Ch. 2, Getting Started section).

Teachers know how to internally motivate learners, rather than relying on external motivators as coercions and rewards/punishments that do not work for the majority of learners.  A key factor in motivation is to engage learners emotionally.

In fact, students are internally driven by the needs built into their genetic code, and they behave in a never-ending quest to satisfy the universal needs to connect, be powerful, make choices, and have fun in a safe, secure environment. Our success as teachers is largely determined by how effective we are at creating learning environments where students can meet their needs by immersing themselves in the academic tasks we provide. (Sullo, 2009, Ch. 3, Basic Needs section)

To have students truly self-motivated, Mike Anderon (2021) stated that teachers must leverage six intrinsic motivators: autonomy (self-direction), belonging, competence, purpose, fun, and curiosity.  He illustrated that autonomy can be enhanced by giving students choices to demonstrate their understanding.  Collaborative learning structures enhance belonging.  However, direct instruction and guided practice are also needed to build social skills, not just academic skills.  Differentiation (e.g., via assignments, demonstrations of learning, or tasks to complete) enhances competence.  As to purpose, learners might find the purpose of some activities as obvious (e.g., project-based or service learning).  But, if not obvious to learners, give them a reason that matters to them in the moment.  A little fun goes a long way to enhance social competence, confidence, self-regulation, and more.  For example, games that enhance instructional content or having students create their own games aligned to content add fun.  Curiosity is enhanced when work can be linked to students' interests (e.g., independent research projects).

• Establish the environment
• Set the expectations
• Teach the vocabulary
• Create the frustration
• Monitor the experience
• Reflect and learn.

Hoerr (2013) recognized that implementation of the above steps "varies according to grade, subject matter, and each student's individual ability, but the steps themselves are consistent" (The Six Steps section).

• "Foster emotional connection to the material."   Teach students to solve open-ended problems as "these problems allow students to wrestle with the definition of the task itself."  Consider portfolios, projects, and group work.  Design activities that allow emotional reactions to appear. (p. 102)
• "Encourage students to develop smart academic intuitions."   This could involve both positive and negative experiences, and reflections.  For example, in developing smart intuitions, math students might consider "Is the use of this mathematical procedure warranted in this instance?" "Am I getting closer to the correct solution?" (pp. 102-103)
• "Actively manage the social and emotional climate of the classroom."   Developing positive social relationships between students and teachers plays a role in this strategy.  The authors caution teachers about "artificial and non-task-related ways" to stir up emotions (e.g., jokes, cartoons, prizes, "turning a blind eye to students acting out").  However, carefully timed humor and incentives can add to the culture of the classroom and its "social cohesion." (p. 103)

What are components of effective classroom management?

Bob Sornson (2010) provided tips, which fall within those four components, for creating a positive classroom environment that will enhance student achievement:

• Build connections daily.  This includes such things as personal greetings, asking about students' lives, sharing your own stories.
• Use consistent procedures and routines.
• Respond quickly to misbehavior.
• Notice specific positive behaviors.  Mention those to the student(s).
• Use instructional design for success.  Pay attention to students' level of readiness and set high expectations.
• Neutralize arguments.
• Sometimes delay consequences when dealing with a problem.
• Develop an empathetic classroom culture.  This includes students for each other and from the teacher.
• Build connections with families.  Send home good news, too, not just the bad.
• Use enforceable statements.  These pertain to managing classroom events.
• Offer choices.
• Teach problem-solving skills. (Sornson, 2010)

In terms of Sornson's tip on offering choices, Bryan Goodwin (2010) reminded educators that while research suggests that students be given choices, the number of choices should be limited.  Less experienced students might be offered fewer choices, perhaps just two, while more advanced students might gradually be given from three to five options.  When learners have too many choices, they might spend too much time making the choice and be less satisfied in that choice at the expense of completing work with quality.  There is also risk that their motivation to do a good job might decrease, if they've spent their mental energy making the choice and then worry if it was the right one.

And in terms of setting high expectations for all, Robert Marzano (2010) reminded educators that this is easier said than done.  It's the "teachers' behaviors toward students [that] are much more important than their expectations," as students "make inferences on the basis of these behaviors" (pp. 82-83).  Students become easily aware of differences, as "teachers tend to make less eye contact, smile less, make less physical contact, and engage in less playful or light dialogue" with low-expectancy students.  They also pose fewer and less challenging questions to them, and delve into their answers less deeply and reward them for less vigorous responses" (p. 83).  The key to overcome this is for teachers to be aware of their own behaviors: identify students as early as possible for whom they have low expectations, identify their similarities and differential treatment of them, and then set out to change and treat low-expectancy and high-expectancy students the same.

Teachers can demonstrate positive behaviors to influence students' perceptions, as those perceptions have a great deal to do with effective instruction.  Echoing Sornson (2010), Marzano (2011) stated that developing positive perceptions involves teachers showing interest in students' lives, advocating for students with such actions as the appearance of wanting students to do well and providing assistance to that end, never giving up on students, and acting friendly.  "With good relationships in place, all other instructional strategies seem to work better" (p. 82).

How do you plan for better classroom management?

In terms of planning and classroom management, certainly new teachers would benefit from the wisdom of their more experienced colleagues. They and mentors can serve as resources for initial concerns such as "setting up the classroom and preparing for the first weeks of school, covering the required curriculum without falling behind or losing student interest, grading fairly, dealing with parents, and maintaining personal sanity" (Mandel, 2006, p. 67).

Experienced teachers are better able to integrate and draw connections between current, past, and future learning and relate their content to other curricular areas. They tend to be able to better use such classroom management skills as voice, gestures, reading student facial expressions and body language, and proximity. They can see the big picture--in planning they can anticipate problems and a need for alternative plans and adjust their practice accordingly. They also know their students' needs and evaluate their lessons according to students' learning growth--that is they measure effectiveness of a lesson beyond meeting the broad objective of the day. Plus, they are knowledgeable about school and community resources that can benefit students. They understand the culture of the school, and have amassed strategies to effectively engage parents in collaborative activities. They understand how to motivate students and maintain their interest even in the face of temporary failure (NBPTS, 2002).

In the classroom, Marzano et al. (2003) said that it is important to involve students in the design of classroom rules and procedures. Although rules will vary, they should be specific and generally address expectations for behavior, beginning and ending the day or period, procedures for transitioning from one activity to the next, interruptions, materials and equipment, group work, seatwork and teacher-led activities (p. 26).

In fact this involvement of students in the design of classroom rules and procedures is one of the practices of the Responsive Classroom approach to improving interactions with children in elementary school.  Some of the practices would also apply well with upper grades.  The approach is based on the premise that children learn best when they have both academic and social-emotional skills and is the result of research and thinking from child development and constructivist educators (e.g., Piaget, Gesell, Montessori, Dewey, Erikson, and Vygotsky).  As a general approach to teaching, educators might consider the following in which readers will note some of the tips Sornson (2010) also provided:

• Morning Meeting —gathering as a whole class each morning to greet one another, share news, and warm up for the day ahead
• Rule Creation —helping students create classroom rules to ensure an environment that allows all class members to meet their learning goals
• Interactive Modeling —teaching children to notice and internalize expected behaviors through a unique modeling technique
• Positive Teacher Language —using words and tone as a tool to promote children’s active learning, sense of community, and self-discipline
• Logical Consequences —responding to misbehavior in a way that allows children to fix and learn from their mistakes while preserving their dignity
• Guided Discovery— introducing classroom materials using a format that encourages independence, creativity, and responsibility
• Academic Choice— increasing student learning by allowing students teacher-structured choices in their work
• Classroom Organization— setting up the physical room in ways that encourage students’ independence, cooperation, and productivity
• Working with Families —creating avenues for hearing parents’ insights and helping them understand the school’s teaching approaches
• Collaborative Problem Solving —using conferencing, role playing, and other strategies to resolve problems with students.  (Responsive Classroom web site, 2016, About: Principles and Practices section).

As a reminder, responsive classroom practices should also include breaks in lessons, such as short energizer activities for the whole group, quiet time, and brain breaks that allow students to move about and interact. Brain breaks also help to increase focus, motivation, learning, and memory (Responsive Classroom web site, 2021).

In summary, when inappropriate behaviors occur, apply the ABC method.  Determine the antecedents of the behavior, how the behavior happens, and consequences for the student after the inappropriate behavior occurs.  You might be able to help the learner substitute a more appropriate behavior as a result of your assessment (Voltz, Sims, Nelson, 2010, pp. 56-57).  Focus on the behavior and not the individual, as misbehavior might have nothing to do with you as the teacher.

• Are you assuming students already know your expectations?
• Do you attempt to control students too much?
• Do you engage in power struggles?
• Do you take student behavior personally?
• Are you foregoing the real-life connection in what you teach?
• Do you teach only to the whole group?
• Are you allowing for unstructured time?
• Have you failed to organize?
• Have you been unprofessional?
• Have you lowered your expectations?
• Have you treated students unfairly?
• Have you neglected priorities?
• Have you been inconsistent?
• Have you planned haphazardly?
• Have you misused administration?
• Do you delay feedback?
• Have you discouraged participation?
• Have you sacrificed the parent-teacher alliance?
• Do you believe in the façade you've created?
• Have you refused to acknowledge your mistakes?

If you answer is yes to any of the above mistakes, it might be time to make changes in your teaching.  Breaux is the author of How the best teachers avoid the 20 most common teaching mistakes.

Caution : Beware of using behavior charts.

Teachers might be tempted to use behavior charts, behavior bucks, reward and incentive charts, and similar tools thinking that they help improve behaviors, and increase motivation and student productivity.  There are web sites that provide such tools, including free printables.  However, consider these two questions, posed by Ashley Patek (2019): "Are these systems helping children learn? And are they having long-term positive effects, not only on children's behaviors , but on their sense of self and their mindset?" (Generational Uses section).  Such tools can be just extrinsic motivators depending on how teachers use the information collected from such charts.  They also have the potential to prevent students from experiencing intrinsic motivation.  "Behavioral management charts can have the undesirable side-effect of shaming children into compliance and at the same time, failing to motivate the very children they are often intended to motivate, namely strong-willed children and/or kids that lack the social-emotional skills necessary to meet the desired behavior being monitored by the chart" (Alternatives section).

Goal 1 Resources

To help build your confidence in teaching, understanding student behavior, and classroom management, consider the following resources:

Avoiding Common Classroom Management Missteps by Michele Hope (2021, December 17).  Hope focuses on four missteps and alternative teacher behaviors on avoiding those.  Missteps include focusing on rules and procedures rather than on establishing collaborative norms (i.e., an agreement among all members on how they will treat each other), focusing on praise and rewards rather than positive reinforcement of desired behaviors, focusing on punishment rather than correction by encouraging reflection and change, and assuming all students are the same rather than being deliberate about building relationships.

Classroom Management: Teachers Modules by Tom Kratochwill is hosted by the American Psychological Association.  Following an introduction, you'll find dos and don'ts, why classroom management works, for whom it works, FAQs, developmental differences, and additional resources.

Clever is classroom management program "with resources to help teachers set up and maintain their classrooms for successful digital learning," per its website.  Tools include teacher pages to set up your digital classroom, messaging, analytics, and more.

How de-escalation strategies can reduce disruptive classroom behaviors by Kara Arundel (2022, January 19) at K-12 Dive is a quick and informative read that delves into seven stages in a classroom behavior crisis cycle and strategies for responding to each.  The stages include calm, triggers, agitation, acceleration, peak, de-escalation, and recovery.  More details are found in Understanding and Managing the Acting Out Cycle .

IRIS Center at Vanderbilt University includes a series of Evidence-Based Practice Summaries on instructional strategies and interventions, including behavior and classroom management.

The National Education Association has a series of articles on classroom management.

The Teacher's Guide has a wealth of information on classroom management with strategies, lessons, videos, discussion groups, books, and printouts.

25 Time-Saving Grading Apps To Make Teachers Lives Easier

Learn more about selecting resource apps.

Sometimes, its also best to weigh the cost of an app versus its effectiveness, particularly if a resource is intended for student learning.  Try to consult others who use it and look for research conducted on any considerations.  For example, Finster, Decker- Woodrow, Booker, Mason, Tu, and Lee (2023) presented their "cost-effective analysis (CEA) of three algebraic technological applications, across four conditions: From Here to There (FH2T) , Dragon Box 12+ (DragonBox), Immediate Feedback and Active Control."  Overall, the study demonstrated "the efficiency of FH2T and DragonBox as low-cost interventions for improving students’ algebraic performance and addressing the nation’s decline in mathematics." (Abstract section)

So, how do you select one?

CT4ME has a Math Software and App Evaluation Form to help in selection.

HOT Rubric:  Cherner, T., Lee, C-Y., Fegely, A., & Santaniello, L. (2016). A detailed rubric for assessing the quality of teacher resource apps. Journal of Information Technology Education: Innovations in Practice, 15 ,117-143. https://www.informingscience.org/Publications/3527

Cherner and his colleagues developed their Evaluation Rubric for Teacher Resource Apps (see Appendix A) to help teachers assess strengths and weaknesses of resource apps they might wish to use.  As discussed in their 2016 publication, the dimensions fall within three domains: Efficiency, Functionality, and Design.

• "Six dimensions are used to evaluate an app’s efficiency that include (A1) Productivity, (A2) Frequency, (A3) Guidance, (A4) Relevance, (A5) Credibility, and (A6) Differentiation" (p. 121).
• "To measure an app’s functionality, the following dimensions are used: (B1) Multipurpose, (B2) Collaboration & Communication, (B3) Ability to Save Progress, (B4) Modifications, (B5) Platform Integration, and (B6) Security" (p. 123).
• The dimensions to evaluate the design of the app "include (C1) Navigation, (C2) Ease of Use, (C3) Customization, (C4) Aesthetics, (C5) Screen Design, (C6) Information Presentation, (C7) Media Integration, and (C8) Free of Distractors" (p. 125).

Goal 2: Know and apply standards, benchmarks, and curriculum frameworks.

All teachers must include goals to become familiar with teacher standards, subject matter standards and benchmark indicators at the state and national levels.  CT4ME provides this information in our section on Standards .  Common Core Math Standards are at the forefront, as many states have adopted them.  These frameworks specify standards that students should achieve, but do not specify the curriculum and teaching methods to be used. For this, teachers need to examine the district curriculum for how their schools and teachers aligned standards with content to be taught. They need to examine scope and sequence, instructional materials, implementation strategies, and any suggested pedagogical methods.

The Common Core State Standards (CCSS) for Mathematics (2010) include eight standards for mathematical practice that "describe varieties of expertise that mathematics educators at all levels should seek to develop in their students."  They include:

• Make sense of problems and persevere in solving them.
• Reason abstractly and quantitatively
• Construct viable arguments and critique the reasoning of others.
• Model with mathematics.
• Use appropriate tools strategically.
• Attend to precision.
• Look for and make use of structure.
• Look for and express regularity in repeated reasoning.

"SMP 1 students “Make sense of problems and persevere in solving them.”  Mathematically proficient students “...understand the approaches of others to solving complex problems and identify correspondences between different approaches.” To effectively engage in this practice, students must be able to stay calm when facing a challenging problem ( self-management ), recognize when they lack the knowledge to solve a problem ( self-awareness ), effectively solicit help from others ( relationship skills ), and learn from others how they solve problems ( social awareness )." (p. 3)

The Dana Center and CASEL (2016) elaborated on the SEL connections to each of the mathematical practice standards.  Think of those SEL competencies as you examine the following on How to Help Students Meet the Common Core Standards for Mathematics .  The eight mathematical practices are circled.

Goal 2 Resources

Learn more about mathematics instruction for perseverance and SEL with the following resources:

Keep Going! Building a Culture of Perseverance in Math Classrooms from PBS LearningMedia "is a collection of classroom video examples and background materials to help high school teachers understand and implement the Problem Solving and Perseverance standard from the Common Core Standards for Mathematical Practice."

Academic Social and Emotional Learning (SEL) and Mathematics Curriculum Materials is a SEL tool from the Charles A. Dana Center at the University of Texas at Austin.  Use it "to determine if your mathematics instructional materials support students’ understanding and application of widely accepted social and emotional learning (SEL) competencies."  Further, students "also need direct instruction in each of the SEL competencies, and teachers need specific training in the SEL competencies and how to incorporate them into daily instructional practice" per the tool's description.

Also consider the following book:

Goal 3: Develop a range of instructional and assessment methods and test preparation methods.

Evidence-based instruction.

Linda Gojak (2012), former President of the National Council of Teachers of Mathematics (NCTM), noted that "Over the last three decades a variety of instructional strategies have been introduced with a goal of increasing student achievement in mathematics. Such strategies include individualized instruction, cooperative learning, direct instruction, inquiry, scaffolding, computer-assisted instruction, and problem solving" (para. 1).  The flipped classroom is a recent addition to the list.  Blended learning is also on the rise, which adds online learning to traditional classrooms.  The recent attention to the use of math tools that incorporate generative artificial intelligence has added a new dimension to teaching mathematics. Thus, another goal for teachers is to investigate instructional and assessment methods and how they might be incorporated appropriately into classrooms.

In a standards-based classroom four instructional strategies are key:

• Inquiry and problem solving
• Collaborative learning
• Assessment embedded in instruction
• Higher order questioning

In its Principles to Actions: Ensuring Mathematical Success for All , NCTM (2014) indicated the following research-based mathematics teaching practices, which should be "consistent components of every mathematics lesson":

• Establish mathematics goals to focus learning.
• Implement tasks that promote reasoning and problem solving.
• Use and connect mathematical representations.
• Facilitate meaningful mathematical discourse.
• Pose purposeful questions.
• Build procedural fluency from conceptual understanding.
• Support productive struggle in learning mathematics.
• Elicit and use evidence of student thinking. (NCTM, 2014, Executive Summary, p. 3)

NCTM released its position on Artificial Intelligence and Mathematics Teaching (2024, February).  Its position on the use of AI refers to "technologies derived from generative AI machine learning approaches (e.g., ChatGPT, Bard, etc.)" (Defining Terms section).  Key takeaways: Although generative AI has the potential to personalize learning and streamline teaching tasks, "AI tools do not replace the need to teach math or problem solving."  AI output might include biased data, hallucinations (untrue or unreaonable results), and inaccurate citations, making it important for educators to tell students to be skeptical of results and to teach them how to verify results, which they also must learn how to do.  NCTM's position notes that "AI tools encourage teachers to reimagine teaching and assessment.  Blending the fundamental computational skills with sensemaking and creative problem solving requires a deep understanding of the math involved, as well as a deep understanding of Pedagogical Content Knowledge (PCK) and Mathematical Knowledge for Teaching (MKT).  Educators lacking this expertise can fall into the trap of repetitive, strictly computation 'shallow assessments.' "  Further, to add another dimension to teaching, math educators will "need to be involved in developing and testing AI tools in math education to stay up to date with current AI trends to best prepare students for an AI future."  All this requires "math teachers with more experience, not less."

All teachers should consider the role of active or constructivist learning, as opposed to using only a lecture method.  The teacher becomes a facilitator in a student-centered approach.  The 5E instructional model (Engagement, Exploration, Explanation, Elaboration, Evaluation) has been considered one of the most effective teaching models within a constructivist learning approach, as noted by Stephen Akinyemi Omotayo and Joshua Oluwatoyin Adeleke (2017).  They described each phase in the model in their research, The 5E Instructional Model: A constructivist approach for enhancing students' learning outcomes in mathematics .

• Engagement aims to create interest and generate curiosity in students and to assess students' prior knowledge.  The instructional task is introduced.
• Exploration aims to practically link previous knowledge to the present topic/ content and to discover new knowledge without direct instruction.  Students work with one another and engage in hands-on activities.
• Explanation aims to confirm students’ newly acquired knowledge and to clarify misconceptions.
• Elaboration aims to solidify students' understanding.
• Evaluation aims to reflect upon new learning, to assess students’ understanding and progress, and to identify areas of difficulty and provide remediation. (p. 17)

Active student involvement reinforces learning. This is not to minimize the role of direct instruction, however.  Madeline Hunter's teacher-centered, direct instructional model has influenced lesson planning since the 1980s.  The model, called Instructional Theory into Practice (ITIP), includes eight elements: an anticipatory set, objective and purpose, input, modeling, checking for understanding, guided practice, independent practice, and closure (Cuban, 2019).  California State University Northridge has posted The Madeline Hunter Model of Mastery Learning .

John Malouff (2018) grouped and explained over 50 problem-solving strategies , many of which can be applied to mathematics problem solving.  Strategies can help understand the problem, simplify the task, determine the cause of a problem, involve external aids to help identify problem solutions, use logic to help identify possible solutions.  Strategies can also identify a possible solution to serve as a starting point to solve a problem, or determine which possible solution is best.  Strategies can employ geometric thinking, help you to function optimally while problem solving, and help solve multiple problems.  George Polya's Problem-Solving Techniques contain details of his four principles that have become a classic for math problem-solving: understand the problem, devise a plan, carry out the plan, and look back.

The IRIS Center at Vanderbilt University provides details on evidence-based strategies for teaching mathematics in its module: High-Quality Mathematics Instruction: What Teachers Should Know (2017).  An initial step is to adopt a standards-based curriculum, after which evidence-based programs and practices can be selected.  The IRIS module addresses the following strategies, which have moderate to strong evidence for improving outcomes for students in mathemtics: explicit, systematic instruction; visual representations, schema instruction, and metacognitive strategies (e.g., self-instruction and self-monitoring).

Cautions : According to Robert Coe, Cesare Aloisi, Steve Higgins, and Lee Elliot Major (2014), teachers have been known to use instructional strategies that have not been supported by research.  Examples of such ineffective practices include using praise lavishly, allowing students to discover key ideas for themselves (i.e., a caution about discovery learning), grouping learners by ability, encouraging re-reading and highlighting to memorize key ideas, addressing issues of confidence and low aspirations before you try to teach content, presenting information to learners in their preferred learning style, and ensuring learners are always active, rather than listening passively, if you want them to remember (pp. 22-24).  They concluded "...if you want students to remember something you have to get them to think about it. This might be achieved by being ‘active’ or ‘passive’ " (p. 24).

Assessing student understanding and designing instruction to meet learners' needs are challenging tasks. Popham (2009) noted that assessment is a broad term:

Assessment includes both traditional paper-and-pencil exams, such as those made up of True/False, short-answer, or multiple-choice items, and a much larger collection of procedures that teachers can use to get a fix on their students' status, including the use of portfolios to document students' evolving skills and the use of anonymous self-report inventories to measure students' attitudes or interests. Assessments also include the variety of informal techniques a teacher might use to check on the status of students' skills for the purpose of guiding instruction rather than for grade-giving, such as when a teacher periodically projects multiple-choice questions on a screen during a lesson and asks students, "on the count of three," to hold up one of four prepared index cards showing the letter of what each student believes is the correct answer. (Popham, 2009, Preface section, para. 6)

Thus, formative assessment plays a major role, and its importance should not be overlooked in our zeal to prepare students for mandated accountability tests. See Part 2 of this essay for more on the role of assessment.

Test Preparation

Test preparation is a reality.  CT4ME has an entire section devoted to standardized test preparation.

Goal 3 Resources

The Center for Research on Learning and Teaching at the University of Michigan provides Inclusive Teaching Strategies and an Introduction to Active Learning with related resources for its implementation.

The Effective Mathematics Classroom from the Leadership Department of Andrews University

HOT! The Mathematics Hub: Teaching Strategies section elaborates on teaching strategies aligned to six principles for effective teaching of mathematics.  The six principles are articulating goals, making connections, fostering engagement, differentiating challenges, structuring lessons, and promoting fluency and transfer.  For more on these principles, read Teaching Mathematics: Using research-informed strategies by Peter Sullivan (2011).

The Science of Math provides resources on effective math instruction.  The site indicates it relies on "well-researched instructional strategies and research about how students learn."  It also includes a section addressing math misconceptions.

The following also provide evidence-based strategies:

• American Institutes for Research includes multiple topics in education
• Best-Evidence Encyclopedia
• Center on Instruction at RMC Research Corporation
• Evidenced-Based Intervention Network hosted by the University of Missouri
• Evidence for ESSA includes evidence-based programs for mathematics
• Institute of Education Sciences -- For example, see Evidence-based Teaching Practices
• IRIS Center at Vanderbilt University includes a series of Evidence-Based Practice Summaries on instructional strategies and interventions.  For example, you'll find assessment (including progress-monitoring), learning strategies, mathematics, content instruction, MTSS (Multi-Tiered System of Supports / RTI (Response to Intervention), and more.
• McREL International Of interest is Unleashing the Power of Best First Instruction (2022) in which Bryan Goodwin of McREL identified and elaborated on "14 high-impact Tier 1 instructional strategies that are directly linked to higher levels of student learning."
• National Center on Intensive Intervention at the American Institutes for Research; see the Academic Intervention Tools Chart .
• Promising Practices Network from the RAND Corporation.  Of interest: The American Mathematics Educator Study, Unraveling the Formula for Equitable and Excellent Mathematic Teaching and Learning (2023).
• Understanding Language from Stanford University includes resources for supporting English Language Learners in mathematics.  Also of interest are the Principles for the Design of Mathematics Curricula: Promoting Language and Content Development .
• U.S. Department of Education -- search for teaching strategies
• What Works Clearinghouse -- a list of practice guides for What Works in Math.  For example, see Teaching Strategies for Improving Algebra Knowledge in Middle and High School Students

Also consider the following books and articles:

Protheroe, N. (2007). What does good math instruction look like? Principal, 7 (1), 51-54. https://www.naesp.org/resources/2/Principal/2007/S-Op51.pdf

Shing, C. L., Saat, R. M., & Siow H. (2015). The knowledge of teaching--Pedagogical content knowledge (PCK). Malaysian Online Journal of Educational Sciences, 3 (3), 40-55. https://files.eric.ed.gov/fulltext/EJ1085915.pdf

Improving Instruction

The following delves into theory and research; learning styles, multiple intelligences and thinking styles; and differentiated instruction and the educator's ideology.

Theory and Research

The American Psychological Association, Coalition for Psychology in Schools and Education (2015) identified eight principles on how students think and learn:

• "Students’ beliefs or perceptions about intelligence and ability affect their cognitive functioning and learning."
• "What students already know affects their learning."
• "Students’ cognitive development and learning are not limited by general stages of development."
• "Learning is based on context, so generalizing learning to new contexts is not spontaneous but instead needs to be facilitated."
• "Acquiring long-term knowledge and skill is largely dependent on practice."
• "Clear, explanatory, and timely feedback to students is important for learning."
• "Students’ self-regulation assists learning, and self-regulatory skills can be taught."
• "Student creativity can be fostered." (p. 1)

How do you foster creativity in math?  Pronita Mehrotra (2019) suggested Five Simple Ways to Add Creativity in Mathematics :

• Make problems open-ended.
• Have students create their own problems.
• Build divergent thinking skills.
• Overcome fixation -- "break free from routine patterns of thinking."  Help students to examine problems from different perspectives.
• Encourage analogical thinking.  See ideas in How to Boost Analogical Thinking , also by Mehrotra.

In The Science of Learning , the Deans for Impact (2015) provided a valuable summary of cognitive science research on how learning takes place.  In it you'll find cognitive principles and numerous practical implications for the classroom related to six key questions on how students understand new ideas, learn and retain new information, and solve problems; how learning transfers to new situations; what motivates students to learn; and common misconceptions about how students think and learn.  The following are among those principles and classroom implications:

• Students learn new ideas by reference to ideas they already know.  A well-sequenced curriculum will help ensure students have prior knowledge.  Teachers can use analogies and elaborate on those, pointing out similarities between existing knowledge and what is to be learned.  Using "worked-examples" (scaffolding) helps to reduce cognitive load.  "Making content explicit through carefully paced explanation, modeling, and examples can help ensure that students are not overwhelmed" (p. 3).
• To help retain information, teachers can assign tasks that require students to explain or meaningfully organize material.  Using stories and mnemonics can help learners give meaning to hard-to-remember content.  Spaced practice over time, low- or no-stakes quizzes, student self-tests, and interleaving practice of different problem types are also helpful for learning and retaining new information.
• "Each subject area has some set of facts that, if committed to long-term memory, aids problem-solving by freeing working memory resources and illuminating contexts in which existing knowledge and skills can be applied.  Teachers will need to teach different sets of facts at different ages" (p. 5).
• Relating to transfer, "Teachers can alternate concrete examples (e.g., word problems) and abstract representations (e.g., mathematical formulas) to help students recognize the underlying structure of problems."  They can have students "identify and label substeps required in solving a problem" that involves multi-step procedures (p. 6).  They might relate the structure of solving a problem to one that would occur in a real-world setting.
• Motivation is enhanced when learners "believe that intelligence and ability can be improved through hard work" (p. 7).  Teachers can encourage learners to set goals for improvement rather than goals for competence and approval and provide tasks that encourage students to monitor their own learning.
• Teachers need to recognize common misconceptions about teaching and learning.  Among cognitive principles are that "Students do not have different “learning styles.”  Humans do not use only 10% of their brains. People are not preferentially “right-brained” or “left-brained” in the use of their brains.  Novices and experts cannot think in all the same ways. Cognitive development does not progress via a fixed progression of age-related stages." (p. 8).

Likewise, the Centre for Education Statistics and Evaluation (2017) in New South Wales, Australia elaborated on research that teachers really need to understand about cognitive load theory: what it is, how the human brain learns, the evidence base for the theory, and implications for teaching.  For example, when teaching, you'll learn about the effect of using worked examples with novices and learners who gain expertise, the effect of redundancy (unnecessary information might actually lead to instructional failure), the negative effect of split-attention (processing multiple separate sources of information simultaneously in order to understand the material), and the benefit of using supporting visual and auditory modalities.

In their review of over 200 studies in What makes great teaching? , Robert Coe, Cesare Aloisi, Steve Higgins, and Lee Elliot Major (2014) identified elements of teaching with the strongest evidence of improving student achievement.  In order of strength, those factors included:

• teachers’ content knowledge, including their ability to understand how students think about a subject and identify common misconceptions (strong evidence);
• quality of instruction, which includes using strategies like effective questioning and the use of assessment (strong evidence);
• classroom climate (moderate evidence);
• classroom management (moderate evidence);
• teacher beliefs (some evidence); and
• professional behaviors (some evidence). (pp. 2-3)

Their review also delved into some common "practices whose use is not supported by research evidence" (p. 22):

• lavish praise;
• allowing learners to discover key ideas for themselves;
• ability grouping;
• encouraging re-reading and highlighting to memorize key ideas;
• addressing issues of confidence and low aspirations before you try to teach content;
• presenting information to learners in their preferred learning style; and
• ensuring learners are always active, rather than listening passively, if you want them to remember. (pp. 22-24)

In Improving Mathematics Teaching , James Stigler and James Hiebert (2004) indicated that teachers need theories, empirical research, and alternative images of what implementation of problem solving strategies looks like. U.S. teachers need assistance with making connections problems. As they might never have seen what it looks like to implement such problems effectively, they tend to turn making connections problems into procedural exercises.

There is much to be learned about improving instruction by examining initiatives within the U.S. that provide educators with the best-practice examples they might need.  Inside Mathematics , which grew out of the Noyce Foundation's Silicon Valley Mathematics Initiative, is exemplary as a professional resource for educators passionate about improving students' mathematics learning and performance. This site features tools for educators, problems of the month, classroom videos, Common Core resources, and performance assessment tasks.

Teachers can also improve instruction by examining what takes place in other countries.  For example, the Trends in International Mathematics and Science (TIMSS) 1999 video study examined an alternative methodology that holds promise to improve math instruction in the U.S. Details and videos are available at http://www.timssvideo.com .  You'll find multiple math video lessons from several countries, including Australia, Netherlands, the Czech Republic, Japan, Hong Kong, Switzerland, and the U.S. with translations into English.

Japanese Lesson Study is growing in the U.S. as a result of the TIMSS study.  "This planning and lesson analysis protocol typically consists of three sequential activities.  First, teachers collaborate in the planning of a lesson, pursuing a common goal of learning that they hope their students will achieve.  Next, a small group teaches the resulting lesson while other teachers perform action research on the lesson as it is taught.  Finally, researchers and observers disclose their findings in a follow-up session, identifying the lesson's successful elements" (O'Shea, 2005, pp. 24-25).  This collaborative process enables teachers to develop more effective lessons.

For more on the work of TIMSS, see the following:

• National Center for Education Statistics notes that TIMSS "provides reliable and timely trend data on the mathematics and science achievement of U.S. students compared to that of students in other countries. TIMSS data have been collected from students at grades 4 and 8 every 4 years since 1995, with the United States participating in every administration of TIMSS."
• TIMSS & PIRLS International Study Center at Boston College

Effective lessons incorporate best-practice. According to Daniels and Bizar (1998, as cited in Wilcox & Wojnar, 2000), there are six methods that matter in a " best practice classroom." These are integrative units, small group activities, representing to learn through multiple ways of investigating, remembering, and applying information; a classroom workshop teacher-apprentice approach, authentic experiences, and reflective assessment.  Further, Mike Schmoker (2006) stated that "the most well-established elements of good instruction [include]: being clear and explicit about what is to be learned and assessed; using assessments to evaluate a lesson's effectiveness and making constructive adjustments on the basis of results; conducting a check for understanding at certain points in a lesson; having kids read for higher-order purposes and write regularly; and clearly explicating and carefully teaching the criteria by which student work will be scored or evaluated" (p. 25). In mathematics classrooms, teachers might tend to ignore writing about the discipline; however, to develop complex knowledge, "students need opportunities to read, reason, investigate, speak, and write about the overarching concepts within that discipline" (McConachie et al., 2006, p. 8).

Also consider the following books:

Are you new to teaching?  Consider these four tips to help improve your math instruction.

• Ask students “why at least once every day. Why did that strategy work? Why does that strategy make sense? Why would this work for all numbers?
• Instead of looking only for whether a student’s answer was right or wrong, focus on what was right in the student’s work. Then build on what the student did understand in your next discussion and next task.
• Use your textbook as a tool. Find meaningful tasks in the materials — or tasks that could be meaningful and accessible for students with small changes in numbers or contexts.
• Provide at least one opportunity each day for students to solve and explain problems mentally (without pencils, paper, calculators, or computers). This promotes students’ sensemaking, creativity and, most importantly, their sense that they are mathematicians. (para. 5)

The Teaching Channel has a series called the New Teacher Survival Guide .  Within it are essential questions with related resources and videos on planning, classroom management, differeniating instruction, mentoring, and more.

Learning Styles, Multiple Intelligences, Thinking Styles

Moran et al. (2006) indicated that multiple intelligences theory proposes viewing intelligence in terms of nine cognitive capacities, rather than a single general intelligence. Thus, a profile consists of strengths and weaknesses among "linguistic, logical-mathematical, musical, spatial, bodily-kinesthetic, naturalistic, interpersonal, intrapersonal, and (at least provisionally) existential" (p. 23). Overall, the theory has been misunderstood in application.

The multiple intelligences approach does not require a teacher to design a lesson in nine different ways to that all students can access the material...In ideal multiple intelligences instruction, rich experiences and collaboration provide a context for students to become aware of their own intelligence profiles, to develop self-regulation, and to participate more actively in their own learning. (p. 27)

Multiple intelligences (MI) and learning styles (LS) are not interchangeable terms. According to Barbara Prashnig (2005), "LS can be defined as the way human beings prefer to concentrate on, store, and remember new and/or difficult information. MI is a theoretical framework for defining/ understanding/ assessing/ developing people's different intelligence factors" (p. 8). Consider LS as "explaining information 'INPUT' capabilities" and MI "more at the 'OUTPUT' function of information intake, knowledge, skills, and 'talent'--mathematical, musical, linguistic" and so on (p. 9).

Indeed, Howard Gardner has stated that multiple intelligences are not learning styles.  In Gardner's view, a style or learning style "is a hypothesis of how an individual approaches the range of materials."  There are two basic problems.  First, "the notion of 'learning styles' is itself not coherent. Those who use this term do not define the criteria for a style, nor where styles come from, how they are recognized/ assessed/ exploited."  Second, "When researchers have tried to identify learning styles, teach consistently with those styles, and examine outcomes, there is not persuasive evidence that the learning style analysis produces more effective outcomes than a 'one size fits all approach.' " Labeling a style (e.g., visual or auditory learner) might actually be unhelpful or inconceived.  Putting a label on it does not mean the "style" fits all learning scenarios (Gardner, in Strauss, 2013).

Knowledge of how students learn best assists teachers in developing lessons that appeal to all learners.  However, determining a student's learning "style" cannot be done strictly by observation. Various models and inventories have been designed to determine a learning style.  Labeling a "style" poses an additional problem in that a style does not remain fixed over time. Therein lies the main concern of relying on inventories, as their validity and reliability might be in question (Dembo & Howard, 2007), and they differ. The following are among those inventories:

The Dunn and Dunn Model includes "environmental, emotional, sociological, physiological, and psychological preferences" per its description at Learning Abled Kids .

David Kolb's Learning Styles Inventory categorizes in four dimensions (converger, diverger, assimilator, or accommodator) based on the degrees to which one possesses "concrete experience abilities, reflective observation abilities, abstract conceptualization abilities and active experimentation abilities" (Smith, 2001, David Kolb on Learning Styles section).  Note: David Kolb's website: Experienced Based Learning Systems, Inc includes his inventory and more information on learning styles.

VARK (Visual, Aural, Read/write, and Kinesthetic) is only part of a learning style, according to developer Neil Fleming who states "VARK is about one preference -our preference for taking in, and putting out information in a learning context"; "VARK is structured specifically to improve learning and teaching." The VARK questionnaire (just 16 short questions) is available online.

The Index of Learning Styles is a 44-question on-line instrument with automatic scoring on the Web that was developed by Richard Felder and Barbara Soloman of North Carolina State University. This model assesses learning preferences on four dimensions (active/reflective, sensing/intuitive, visual/verbal, and sequential/global).

As an alternative to determining learning styles, a personal Thinking Styles Inventory and The Multiple Intelligence Inventory based on Gardner's work will also benefit teaching and learning. Students with learning disabilities or attention-deficit-disorder can find practical tips on how to make your learning style work for you at LdPride.net , which also contains more information on multiple intelligences.

With so many inventories available, teachers might wonder how their teaching can accommodate so many styles. Li-fang Zhang and Robert Sternberg (2005) indicated, however, that teachers need only to attend to "five basic dimensions of preferences underlying intellectual styles: high degrees of structure versus low degrees of structure, cognitive simplicity versus cognitive complexity, conformity versus nonconformity, authority versus autonomy, and group versus individual. Furthermore, [they] believe that good teaching treats the two polar terms of each dimension as the two ends of a continuum and provides a balanced amount of challenge and support along each dimension" (p. 43).

Caution on Learning Styles

Readers should be aware that there is no scientific support of the idea that learning styles impact learning outcomes.  Yet many educators hold that belief, a conclusion that Ulrich Boser (2019) found from his survey research on What do teachers know about the science of learning?   His survey revealed that 97% of respondents endorsed the idea of learning styles and that these impact how people learn.  His research also revealed that 77% of educators believed that there are "left-brained" and "right-brained" learners and that this difference also affects how they learn, yet this is also a myth as there is no scientific evidence to support it.  Boser (2019) is among many who have addressed the myth of learning styles.

According to Dembo and Howard (2007), "The bottom line is that there is no consistent evidence that matching instruction to students' learning styles improves concentration, memory, self-confidence, grades, or reduces anxiety" (p. 106).  Rather, Dembo and Howard indicated, "The best practices approach to instruction can help students become more successful learners" (p. 107). Such instruction incorporates "Educational research [that] supports the teaching of learning strategies...; systematically designed instruction that contains scaffolding features...; and tailoring instruction for different levels of prior knowledge" (p. 107).

Cognitive scientists Pashler, McDaniel, Rohrer, and Bjork (2009) supported this position and stated, "Although the literature on learning styles is enormous, very few studies have even used an experimental methodology capable of testing the validity of learning styles applied to education. Moreover, of those that did use an appropriate method, several found results that flatly contradict the popular meshing hypothesis" (p. 105). They concluded "at present, there is no adequate evidence base to justify incorporating learning-styles assessments into general educational practice" (p. 105) and "widespread use of learning-style measures in educational settings is unwise and a wasteful use of limited resources. ... If classification of students' learning styles has practical utility, it remains to be demonstrated" (p. 117).

Willingham, Hughes, and Dobolyi (2015) confirmed that we have a responsibility to ensure that students know that learning styles theories have not panned out (p. 269).  Further, Willingham (2018) concluded, "Although there’s scant evidence that matching the manner of processing to a student’s preferred style brings any benefit, there’s ample evidence that matching the manner of processing to the task helps a lot. Students can be taught useful strategies for committing things to memory, reading with comprehension, overcoming math anxiety, or avoiding distraction, for example. Learning styles do not influence the effectiveness of these strategies" (p. 32).

Philip Newton and Atharva Salvi (2020) conducted a review of research on beliefs and use of learning styles that involved 37 studies from 2009 to early 2020 representing over 15,000 educators in18 countries.  Their summary conclusion indicated "a substantial majority of educators, almost 90%, from samples all over the world in all types of education, report that they believe in the efficacy of a teaching technique that is demonstrably not effective and potentially harmful. There is no sign that this is declining, despite many years of work, in the academic literature and popular press, highlighting this lack of evidence."  As found in their introductory review of literature, the proposed harms include such things as:

• "concerns that learners will be pigeonholed or demotivated by being allocated into a Learning Style," potentially leading some learners to conclude there is no point in pursuing studies or careers outside of their identified learning style;
• "to try and match instruction to Learning Styles risks wasting resources and effort on an ineffective method";
• "the continued belief in Learning Styles undermines the credibility of educators and education research, and creates unwarranted and unrealistic expectations of educators" (Introduction section).

So what matters in teaching?

Ultimately, although we might continue to argue over terminology and labels associated with learning, Gardner (in Strauss, 2013) provided the following lessons for educators:

Individualize your teaching as much as possible. Instead of “one size fits all,” learn as much as you can about each student, and teach each person in ways that they find comfortable and learn effectively. Of course this is easier to accomplish with smaller classes. But ‘apps’ make it possible to individualize for everyone. Pluralize your teaching. Teach important materials in several ways, not just one (e.g. through stories, works of art, diagrams, role play). In this way you can reach students who learn in different ways. Also, by presenting materials in various ways, you convey what it means to understand something well. If you can only teach in one way, your own understanding is likely to be thin. Drop the term "styles."  It will confuse others and it won't help either you or your students.  (Gardner, in Strauss, 2013)

Robert Slavin (2019) said it well:

"What really matters is what teachers do. Give me a teacher who knows how to make content exciting and comprehensible, one who knows how to manage diverse classrooms so that students are eager to learn, self-motivated, productive, and able to work effectively with peers. Give me a teacher who models curiosity, kindness, and flexibility, one who accepts and builds on student errors, one who helps all students believe in themselves and their potential, whatever their backgrounds. If a teacher can do all of these things, do we really care if they think there are learning styles?"

Additional MI and LS Resources

For more on multiple intelligences and learning styles, consult the following:

Big Thinkers: Howard Gardner on Multiple Intelligences -- listen to Gardner in this short video posted at Edutopia.org: https://www.edutopia.org/multiple-intelligences-howard-gardner-video

Visit Howard Gardner's website to learn more about him, his theory, and publications: https://www.howardgardner.com .  The MI Oasis is his O fficial A uthoritative S ite of Multiple I ntelligence S .

Tapping into Multiple Intelligences, a self-paced workshop from Concept to Classroom at Thirteen Ed Online: https://www.thirteen.org/edonline/concept2class/mi/index.html

Walter McKenzie's Surfaquarium: http://surfaquarium.com/MI/ has content devoted to Multiple Intelligences in Education (e.g., an overview of MI, media and software selection, MI and instruction, templates, etc.).

Institute for Learning Styles Research: https://www.learningstyles.biz/

Hale, J. (2019, April 24). The education myth about learning styles. Center for Inquiry Blog . https://centerforinquiry.org/blog/the-education-myth-about-learning-styles/   Jamie Hale supports his commentary with several research studies to debunk the myth on the value of learning styles.  He concluded, "There is a large body of research on strategies to maximize learning, and educators and students are advised to review and use information from that line of research instead of spending time trying to identify their illusive learning style."

Video and audio clips support multiple intelligences and varied learning preferences and disabilities.

HOT : SchoolTube contains numerous videos on mathematics, which would help learners review concepts presented in class and in some cases offer a different instruction perspective. "SchoolTube provides students and educators a safe, world class, and FREE media sharing website that is nationally endorsed by premier education associations."

HOT : Teacher Tube provides "an online community for sharing instructional videos. ... It is a site to provide anytime, anywhere professional development with teachers teaching teachers. As well, it is a site where teachers can post videos designed for students to view in order to learn a concept or skill."

For additional video resources at this site, see Math Resources: Integrating Podcasts, Vodcasts and Whiteboards into Teaching and Learning at this site.

What do teachers say about using video in instruction?

Teachers have several reasons for using television and video in their instruction, according to results of a 2009 national online survey of 1,418 full time pre-K and K-12 teachers on their use of media and technology.  The study, " Digitally Inclined ," was conducted by Grunwald Associates for PBS.  Teachers believed television and video reinforces and expands on content they are teaching (87%), helps them respond to a variety of learning styles (76%), increases student motivation (74%), changes the pace of classroom instruction (66%), enables them to demonstrate content they can't show any other way (57%), enables them to introduce other learning activities (51%), and helps them teach current events and breaking news (38%).  Further, teachers perceived benefits to instruction.  They agreed that using television and video stimulates discussion (58%), helps them be more effective (49%) and creative (44%).  They agreed that students prefer television and video over other types of instructional resources or content (48%), and it stimulates student creativity (36%). (PBS & Grunwald Associates LLC, 2009, p. 8)

Differentiated Instruction and Ideology

Common Core State Standards (2010) for Mathematical Practice include varieties of expertise that mathematics educators should strive to develop in students at all levels:

• Reason abstractly and quantitatively.

Acquiring this expertise will require that educators play greater attention to differentiated instruction.  "Differentiated instruction is a process to approach teaching and learning for students of differing abilities in the same class. The intent of differentiating instruction is to maximize each student’s growth and individual success by meeting each student where he or she is, and assisting in the learning process."  Educators who differentiate instruction strive to "recognize students varying background knowledge, readiness, language, preferences in learning, interests; and to react responsively" (Hall, Strangman, & Meyer, 2003, Definition section).

The process of differentiation is challenging for educators, as it requires developing skills to teach in a flexible manner that responds to the unique needs of learners.  Often total lessons or the pace of individual lessons need to be adjusted "on-the-fly."  Teacher-led group instruction is only one model of instruction.  So, teachers also need to know about additional resources beyond what's in the textbook or available in print format that can be used to help learners.  For example, students can also learn from each other in collaborative groups, or from virtual instructors in online settings, or by working alone using software or apps.  They can get different perspectives on a topic from viewing podcasts.

A second challenge for success lies in the teacher's ideological perspective, as this latter affects how one teaches.  According to David Ferrero (2006), educators are divided by traditionalism and innovation.  However, teaching that leads to achievement gains (e.g., via standardized testing) does not mean that educators have to choose between one or the other. There is a concept of "innovative traditionalism" that is student-centered, yet has been shown to improve standardized achievement test scores. This has been accomplished in two Chicago-area high schools by "a combination of test prep, classical content, and collaboratively developed thematic projects grounded in controversy and designed to cultivate student voice and civic engagement" (p. 11). The following table (Ferrero, 2006, p. 11) illustrates the essential differences in education's ideological divide, which can be bridged.

The goals of differentiated instruction and innovative traditionalism are to ensure effective learning for all. Best practice learning adheres to 13 principles. Best practice is student-centered, experiential, holistic, authentic, expressive, reflective, social, collaborative, democratic, cognitive, developmental, constructivist, challenging with choices and students taking responsibility for their learning (Zemelman, Daniels, & Hyde, 1998, as cited in Wilcox & Wojnar, 2000).

According to Theroux (2004),

"Differentiating instruction means creating multiple paths so that students of different abilities, interest or learning needs experience equally appropriate ways to absorb, use, develop and present concepts as a part of the daily learning process. It allows students to take greater responsibility and ownership for their own learning, and provides opportunities for peer teaching and cooperative learning" (para. 2).

Theroux (2004) addressed four ways to differentiate instruction: content (requires pre-testing to determine the depth and complexity of the knowledge base that learners will explore), process (leads to a variety of activities and strategies to help students gain knowledge), product (complexity varies in ways for assessing learning), and manipulating the environment or accommodating learning styles . Fairness is a key concept to emphasize with learners, who will recognize that not everyone will work on the same thing at the same time. They need to appreciate that not everyone has the same needs.

Bottom Line:

Small and Lin (2022) noted a general agreement on how to effectivey implement differentiated instruction.  Three elements are needed: a focus on teaching to the big Ideas, prior assessment to determine the needs that different students have, and student choice, whether in content, process, or product (Principles and Approaches to Differentiated Instruction section, para. 2).

Learn more about differentiated instruction and its history.

The concept of differentiated instruction is not new.  Historically it has been discussed in other terms related to addressing individual differences in instruction.

ASCD devoted its entire December 1953 issue of Educational Leadership to the theme "The Challenge of Individual Difference," which is available online.  In the lead article, Adjusting the Program to the Child , Carleton Washburne presented a short history of reform efforts aimed at making education more individualized.  What a find.

Read What Differentiated Instruction Really Means by Lisa Westman (2021, September 1) in ASCD.

Differentiation in the Mathematics Classroom

In Creating a Differentiated Mathematics Classroom , Richard Strong, Ed Thomas, Matthew Perini, and Harvey Silver (2004) indicated that student differences in learning mathematics tend to cluster into four mathematical learning styles:

Mastery style--tend to work step-by-step

Understanding style--search for patterns, categories, reasons

Interpersonal style--tend to learn through conversation, personal relationship, and association

Self-Expressive style--tend to visualize and create images and pursue multiple strategies.

The implication for mathematics instruction is that "any sufficiently important mathematics topic requires students to learn the topic in four dimensions: procedurally, conceptually, contextually, and investigatively" (Strong et al., 2004, p. 75). Even taking that approach, we are challenged to help students overcome misconceptions.

The importance of addressing these four dimensions was made very clear in a recent query I had from an individual [let's call him Mac] seeking help for a learner in the 5th grade who was struggling to multiply decimal numbers. The learner had incorrectly calculated: 0.032 * 0.16 =0.0512. But why? Apparently the learner was taught an algorithm, but used it incorrectly. Let's examine the problem that arises in understanding if teaching is done only procedurally.

In investigating Web resources for Mac on this concept, several sites indicated using the algorithm with instructions to multiply the digits as whole numbers (here 32*16 = 512), then count up the number of decimal places indicated in the problem (here 5) and then to use that number of places in the final answer. If extra zeroes are needed (here 2), place them before the digits in the whole number answer. This kind of wording, which I purposely made less than mathematically precise, is what a 5th grader might typically remember from only an algorithm. Notice that the learner's answer (0.0512) did have five digits (places used incorrectly) and two zeroes preceding 512. The answer should have been 0.00512.

Conceptually, the learner might have missed a connection to prior learning on fractions, or the link was not made and reinforced in instruction. Writing the problem in its equivalent fraction form, using knowledge of converting decimals to fractions and vice versa, and decimal notation and place value might eventually have helped the learner to understand the short cut presented in the algorithm.

Contextually, understanding the position of the decimal point in the final answer might have been linked to an application problem, such as buying 2.6 yards of fabric at $1.75 per yard.

Investigatively, the learner might not have seen visual representations of the concept, such as the rectangle/area model for multiplication of decimals presented at Explore Learning.

In any case, the query confirmed Strong et al.'s (2004) recommendations and the need for differentiated instructional practices.

The example above noted teaching mathematical procedures using algorithms. Algorithms play an important role in mathematics, as they address step-by-step procedures for solving problems.  According to the Advocates for the Science of Math (2021a), it's a misconception that algorithms promote memorization , contributing to "superficial understanding of steps, conventions, and rules. ... The truth is that "Using an algorithm requires conceptual understanding of what is happening in the problem and procedural knowledge to accurately solve.  Algorithms can serve as a link between conceptual understanding and procedural knowledge."

For example, Everyday Mathematics includes algorithms , as explained at the University of Chicago. The difficulty arises, as the above example indicates, if the algorithm is taught without linking it to conceptual, contextual, and investigative understanding.  Ball, Ferrini-Mundy, Kilpatrick, Milgram, Schmid, and Schaar (2005) indicated, "Fluent use and understanding ought to be developed concurrently." Algorithms not only play a role in gaining whole number computation fluency, but play a role in such examples as "constructing the bisector of an angle; solving two linear equations in two unknowns; calculating the square root of a number by a succession of dividing and averaging" (Areas of Agreement section).

According to Strong et al. (2004), testing practices should also aim to measure knowledge in all four dimensions. Teachers should be aware that texts and their accompanying tests, however, tend to emphasize only the mastery and understanding styles of learning. To differentiate instruction, teachers can:

Rotate strategies to appeal to students' dominant learning style and challenge them to work in their less preferred styles. Consider strategies such as using manipulatives, observing demonstrations, sketching out a math situation, reading, having students compare their work with a partner, or solving complex problems in a team.

Use flexible grouping.

Personalize/individualize learning for struggling students or for those needing an extra challenge.

Among strategies for implementing differentiated instruction, Tomlinson and McTighe (2006) suggested that teachers consider:

Compacting--giving students credit for what they already know;

Negotiated delay of due dates and times for tasks;

Varied homework;

Bookmarked Web sites on key topics in languages other than English to support English language learners;

Video and audio clips to support multiple intelligences and varied learning styles and disabilities;

Flexible grouping, "expert" groups, and interspersing lecture with group discussions;

Guided peer review;

Teaching with part-to-whole and whole-to-part emphasis;

Tiered assignments--used when all students need to know the same skill or concept;

Learning contracts;

Independent study/projects;

WebQuests and Web inquiries;

Learning centers--primarily used in elementary grades; and

Adjusting questions to accommodate levels in Bloom's Taxonomy .

• Open questions are framed in such a way that a variety of responses or approaches are possible.  Each must allow for correct responses at a variety of levels.  For example: Describe the following picture by using a mathematical equation?

x      x      x      x

Several strategies are illustrated for creating open questions:

Turning around a question.  Give the answer and ask for the question.  For example: 10 is a fraction of a number.  What could the fraction and number be?

Asking for similarities and differences of two items: numbers, shapes, probabilities, graphs, measurements, and so on.

Replacing a number with a blank.  For example, in a word problem involving addition to find the answer, students might fill in the blanks in the word problem with their own choices.

Creating a sentence: Students can create a sentence using given parameters, such a a given set of words and numbers.

Using "soft" words.  Soft words add some ambiguity, yet open up the thinking process.  For example, rather than asking students to create a triangle with a specific area, students might be asked to create two triangles whose areas are different, but close.

Changing the question.  Teachers might take an existing question and turn it into an open question.  For example, a text might have the question " A cookie has a diameter of 1.75 inches.  Express the diameter as a fraction in simplest form ."  An associated open question might be " The diameter of a cookie is between 1 and 2 inches.  Express the diameter as a fraction in two different ways. "  (p. 9)

• "Parallel tasks are sets of tasks, usually two or three, that a designed to meet the needs of students at different developmental levels, but that get the same big idea or are close enough in context that they can be discussed simultaneously" (Small, 2012, p. 10).  Variations should enable all struggling students to be successful and proficient students to be challenged.  In other words, in a class discussion, all students could participate and answer the same questions about the task, no matter what task the student chose.  For example, to develop the big idea of when multiplication would be used to solve a word problem, choice 1 might ask students to create a word problem that could be solved by multiplying two one-digit numbers; choice 2 would ask students to create a word problem that could be solved by multiplying two numbers between 10 and 100.

Differentiating math instruction is also accomplished by using math menus, which are options giving learners choices for demonstrating their knowledge.  "The options can include problems, investigations, games, and other activities that promote students' understanding, support their reasoning, or provide practice with the content and skills they've been learning" (Burns, 2016, p. 41).

A math menu -- like courses in a restaurant -- is one format for offering options.  You'll also find other phrases used, such as choice boards (which might look like tic-tac-toe boards), learning menus, or extension menus. 

Guiding Questions

With so many strategies, Linda Gojak (2012), an NCTM President, offered the following questions about process, which can be helpful when deciding how to structure and present a lesson:

• Is this instructional approach appropriate for the grade level of students at this time?
• Can I adapt this strategy so that my lesson incorporates the NCTM Process Standards and encourages students to make sense of the mathematics?
• Does this lesson build from a rich mathematical task?
• What questions can I ask students that will encourage them to think more deeply about the mathematics that I want them to understand?
• How can I encourage rich discussions with and among students as they develop understanding and apply the mathematical ideas in a variety of contexts?
• Will my instruction help students to reason and make sense of the mathematics in the lesson?
• In what ways do I anticipate students will represent their thinking about the mathematics?
• How does the mathematics in this lesson connect to previous concepts as well as future concepts? (para. 5)

More on Cooperative Learning

Some might not appreciate the true essence of cooperative learning, a feature employed in differentiating instruction. Learners are responsible for not just their own learning, but the learning of others. Shared learning leads to success for all, as each member of a learning group has a specific role to play in reaching a common goal. Successful groups include positive interdependence--if one fails, the entire group is affected. There is both individual and group accountability; although some work might be completed individually, some must be accomplished by group interactions. Typical strategies include think-pair-share , the jigsaw , and numbered heads . Collaborative learning structures and techniques might also include the three-step interview, focused listing to brainstorm or examine concepts and descriptions, structured problem solving, one-minute papers, paired annotations, guided reciprocal peer questioning, and send-a-problem.

Robert Slavin (2014), director of the Center for Research and Reform in Education, discussed five strategies to make cooperative learning powerful.  He stated, "It is the "learning" in cooperative learning that is too often left out. But it needn't be. Using these five strategies, teachers can get the greatest benefit possible from cooperative learning and ensure that collaboration enhances learning" (para. 3):

• Form interdependent teams : "An effective cooperative group is not a collection of kids thrown together for a brief activity. It's a team composed of diverse students who care about helping one another learn - and about the success of the team itself."  A team might have 4-5 members "composed of a cross section of the class: high and low achievers, boys and girls, students of different ethnicities."  To ensure diversity "the teacher should make team assignments."
• Set group goals : "Too often in cooperative learning, students are put into teams and instructed to "help one another." Helping one another is a good thing, but kids will do a lot more of it if they share a team goal," which is a target, product, or indicator that shows a team has done a good job of getting every member to perform at his or her personal best."
• Ensure individual accountability : "Individual accountability means that to reach the team goal, all team members must master the targeted content or skills. Team success should depend on the hard work - and therefore the learning - of all members."  The goal cannot be achieved by one student alone.  This element is often left out, decreasing the potential of the method for learning.  It can lead to free-rider students who contribute nothing to the group or know-it-all students who dominate and thwart the attempts of others.
• Teach communication and problem-solving skills : "Setting up structures that promote effective cooperative learning is not enough. Team members need to know how to make good use of the opportunity to work with one another; this means they need to learn about, practice, and refine key interpersonal skills."  Such skills involve active listening, explaining ideas and opinions, encouraging teammates, and completing group tasks to meet standards.
• Integrate cooperative learning with other structures : "Cooperative learning should be seen as a key part of each lesson, but not the whole lesson.  Effective class lessons might also include teacher instruction, media- or computer-based activities, and individual assessments of various kinds." (Slavin, 2014)

Access the Peeragogy Handbook , which is a collection of techniques for collaborative learning and collaborative work.  This handbook is a "living-document" created by a world-wide community of editors interested in peer-to-peer learning.  The ideas can be applied in classrooms, in research, in business, and more.

Students should work at all levels of the taxonomy. It should not be viewed as a ladder, however, nor as a framework for differentiated instruction (Tomlinson & McTighe, 2006, pp. 119-120). The taxonomy is helpful for breaking down state standards into meaningful components as teachers plan their instruction.  Planning for instruction will be elaborated upon in Part 3 of this essay on content and curriculum mapping.

Charles White (2007) provided a closer look at how Bloom’s Taxonomy provides levels of understanding to guide teaching and assessing knowledge. Teaching for each level has different instructional strategies and testing techniques.

Knowledge : Memorization and recitation fall within the knowledge level. Teachers might rely on a lecture method and assigned readings.  They are transmitters of knowledge.  Students remain passive and acquire familiarity with the material, take notes, memorize, and study enough so that they can recall information at least long enough to pass tests, which might be multiple choice or true/false.  Such tests rely on one-right answer.  “Opinions and values are excluded from this type of testing” (p. 162). When writing, students tend to parrot back what the teacher has said.  However, the ability to recite information that has been memorized does not mean that students know what they are saying. NOTE: Memorization does not come easy for learners, but some memorization is involved in mathematics.  For example, read The Benefits of Memorizing Math Facts by Margaret Groves (2010).  She stated, "Quite simply, a lack of fluency in basic math fact recall significantly hinders a child's subsequent progress with problem-solving, algebra and higher-order math concepts.  This can have a serious impact on a child's overall self confidence and general academic performance" (para. 1).  Get some memorization tips/techniques and learn how to improve your short and long-term memory at Memorization Tips .

Comprehension : At a comprehension level, students are able to discuss what they’ve learned in their own words rather than in the teacher’s words, express their feelings, participate in classroom debate, and are thus taking ownership of content and remembering it better.  They would be able to explain a graph, a calculation using a formula, or an equation (e.g., linear regression), but not necessarily be able to implement associated tools.  At this level, “short- and medium-length answers [in students’ own words] combined with complex multiple-choice formats often serve as the medium of test material” (p. 162).

Application : While key words for comprehension are explaining and discussion, application involves doing.  Novices lacking understanding might only be able to apply knowledge when given step-by-step instructions that can be used without deviation.  However, at this level, students must be able to demonstrate that they can use concepts and theories in problem-solving.  They might be given all the information necessary to do calculations or tasks.  Memory at this level is enhanced with repetition.  Testing includes unstructured problems that might not have been encountered in the text or during a lecture, requiring students to determine a solution method using what they have learned.  Novice students might still turn to the teacher for a correct solution.

Analysis : At this level, application is taken a step further.  Students must be able to take a situation apart, diagnose its pieces, and decide for themselves what tools (e.g., graph, calculation, formula, etc.) to apply to solve the problem at hand.  Rather than just understanding and applying individual concepts, students understand the relationship among concepts.  Case studies in business, for example, fit this level.  The level of difficulty can be controlled for novices to experts by the number of issues presented in the cases requiring analysis.  Likewise, this process to control difficulty can be used for any mathematics problem-solving scenario based on level of expertise of learners.  For example, at elementary levels, students are introduced to analysis when a few extraneous facts are included in a problem, which are not needed to solve it.  At an analysis level, students are able to appreciate that some problems do not have a unique solution and there is more than one way to defend a position or solution method, as in a case study.

Synthesis : In contrast to analysis (i.e., taking apart), at the synthesis level students put things back together. Given the pieces, there might be more than one way to do this. In terms of mathematics, students might take the pieces they’ve learned, and put them together to solve problems not yet encountered in the actual classroom setting.  Synthesis is involved when creating something new.  Advanced students might be asked to create a new theory.  Synthesis is tested via major projects, for example, which might be long term involving creativity and application of all that students have learned on a topic.

Evaluation : Teachers evaluate student work all the time, particularly exams and homework.  The difficulty in evaluation arises when judging multiple perspectives and varied problem-solving approaches, as one must be thoroughly familiar with content.  At this level, students might be asked to problem-solve via debate, for example.  At the evaluation level, one is able “to judge the work of others at any level of learning with regard to its accuracy, completeness, logic, and contribution” (White, 2007, p. 161).  Rubrics help teachers to evaluate work, particularly for that involving application, analysis and synthesis.

White (2007) presented a novel way to test levels of understanding. He proposed writing two test questions on a topic, allowing students to choose only one of those to answer.  The first is written for the knowledge and comprehension levels (e.g., key verbs: list, describe), and the second is written for the higher critical thinking levels of application, analysis, and synthesis.  Points possible would be indicated for each, so that students would recognize that only those answering the second could be awarded maximum points toward an A+ grade.  The option to choose enables the less able student to better demonstrate what he does know and perhaps earn a B grade, rather than risk failure because of an inability to demonstrate critical thinking.  For either question, students could fail.

Learn more about Bloom's Taxonomy

Bloom's Taxonomy Mathematics Chart includes verbs and sample tasks related to mathematics for each level of the taxonomy to help with curriculum planning.

Lesson Planning using Bloom's Taxonomy in my Math Classroom by Shalini Chauhan (2020, July 8) provides examples.

Bloomin' Apps: Kathy Shrock has gathered a collection of apps for each level in the revised Bloom's Taxonomy.  They are arranged for iPad, Android, Online Tools, and for G Suite.  Note: G Suite for Education is now known as Google Workspace for Education.

Krathwohl, D. (2002). A revision of Bloom’s taxonomy: An overview. Theory into Practice, 41 (4), 212-219. https://www.depauw.edu/files/resources/krathwohl.pdf

You can learn more on the Revised Bloom's Taxonomy at the Iowa State University Center for Excellence in Learning and Teaching web site.

Join a Discussion Group or Participate in a Blog

Here's some blogs for math educators:

• Dy/Dan : Dan Meyer's blog has a following of educators who share his interest in using dynamic math and Web 2.0 tools creatively for teaching and learning math.
• emergent math is a blog that has some great ideas for introducing students to inquiry-based learning.
• HOT : Participate in Denise Gaskins' blog Let's Play Math!   This blog is about learning, teaching, and just playing around with K-12 mathematics.

See other blog options for math educators noted in our technology integration resources .

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STPM 2017 Mathematics (T) Term 3 Coursework Sample

It  is  reported  that  Malaysian  youths  spend  many  hours  daily  to  access  the  social  media  such  as Facebook and WhatsApp.  This phenomenon leads to deterioration of social ties and values.

In this assignment, you are required to conduct a study on the time spent daily by the students in your school to access the social media.

(a) Discuss the various sampling techniques that can be used to collect data.

(b) Choose a suitable sampling technique to collect data on time spent daily (in minutes) for a random sample of n students.

Construct three confidence intervals for the mean time spent daily by students in your school to access the social media. Interpret your results.

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