critical thinking and brain based learning

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Growing Brains, Nurturing Minds—Neuroscience as an Educational Tool to Support Students’ Development as Life-Long Learners

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Compared to other primates, humans are late bloomers, with exceptionally long childhood and adolescence. The extensive developmental period of humans is thought to facilitate the learning processes required for the growth and maturation of the complex human brain. During the first two and a half decades of life, the human brain is a construction site, and learning processes direct its shaping through experience-dependent neuroplasticity . Formal and informal learning, which generates long-term and accessible knowledge, is mediated by neuroplasticity to create adaptive structural and functional changes in brain networks. Since experience-dependent neuroplasticity is at full force during school years, it holds a tremendous educational opportunity. In order to fulfill this developmental and learning potential, educational practices should be human-brain-friendly and “ride” the neuroplasticity wave. Neuroscience can inform educators about the natural learning mechanisms of the brain to support student learning. This review takes a neuroscientific lens to explore central concepts in education (e.g., mindset, motivation, meaning-making, and attention) and suggests two methods of using neuroscience as an educational tool: teaching students about their brain (content level) and considering the neuro-mechanisms of learning in educational design (design level).

1. Educational Neuroscience (Teaching for the Brain and Teaching about the Brain)

Educational neuroscience is an interdisciplinary field exploring the effects of education on the human brain and promotes the translation of research findings to brain-based pedagogies and policies [ 1 ]. The brain is the target organ of education. Education is thought to influence brain development [ 2 , 3 ] and health, even as the brain ages [ 4 , 5 ]. Studying the dynamics between the brain and education can be instrumental in finding ways to better support learners across the lifespan.

Educational neuroscience research explores every possible relationship between the physiological, mental, and behavioral aspects of learning. Some studies have tried to identify the optimal physical conditions for neuroplasticity and learning. This stream of educational neuroscience research includes studies exploring the effects of sleep (or sleep deprivation), physical exercise, and environmental pollution on the brain and its cognitive performance [ 1 ]. While these studies focus on the effect of brain health on learning, other studies examine the effect of learning on brain health, assessing the long-term effects of learning/education on the human brain and exploring in what ways formal/informal education is associated with better aging of the human brain [ 2 , 3 , 4 ].

Some educational neuroscience studies take a developmental approach to study the relationship between cognitive and learning capacities across the lifespan. For example, multilevel measurements collected from adolescents (e.g., neuronal, hormonal, psychological, and behavioral) have advanced our understanding of how the massive neuronal changes that take place during adolescence promote cognitive development but also introduce immense neuronal and mental vulnerability (and the onset of most psychiatric disorders) [ 1 , 5 , 6 , 7 ]. Other studies in this line of research explore the factors supporting neuroplasticity in the mature brain—to support lifelong learning [ 8 ].

Educational neuroscience also explores the nature–nurture aspects of learning, for example, examining how learning environments interact with genetic conditions and what DNA variations predict differential learning abilities [ 9 ]. Environmental influences on learning include studies about the impacts of socio-economic status (SES) on the brain and cognitive developmental trajectory [ 10 ]. Furthermore, educational neuroscience seeks to understand the mechanisms that facilitate general learning abilities (such as executive control and social and emotional skills), discipline-specific learning abilities (such as literacy, numeracy, and science), the connections between these mechanisms, and the extent to which these learning skills are trainable [ 11 ].

As a developing, interdisciplinary research field, educational neuroscience faces challenges, limitations, and criticism, especially concerning the ability to generalize research findings in lab conditions to classroom learning, and its validity and transferability to larger scales, such as mass education systems. Other challenges stem from the fact that learning is one of the most basic yet complex brain functions that incorporates the entire brain and has a continuous effect. Furthermore, empirical studies in educational neuroscience are challenging and cumbersome due to the interdisciplinary nature of the field (education, psychology, and neuroscience); the need for repeated measures over time; and the young target population (school students), which imposes ethical restrictions on experimental designs. Finally, while still evolving as a research field, educational neuroscience is intriguing for many educational leaders who are enthusiastic about applying neuroscience in education practices. Unfortunately, the current gap between the high demand and limited supply may lead to misuse of neuroscience in pedagogy (e.g., neuromyths or the justification of educational methods based on limited to no evidence) [ 1 ].

While educational neuroscience is preliminary in forming evidence-based pedagogy, it can already offer valuable information and a much-needed bridge between educators and scientists in translating the research of learning into effective educational practices.

Neuroscience-informed educational design (teaching the way the brain learns) can promote learning motivation, high-level information processing, and knowledge retention. Moreover, neuroscience educational content (teaching about the brain) can inform students about their developing brains to promote scientific education and self-exploration.

1.1. Learning and Neuroplasticity

Human development is based on nature (genetics), nurture (physical and social environments), and their interactions (epigenetics) [ 12 , 13 ]. These factors play an essential role in learning processes and the reorganization of neuronal networks to create neuronal representations of new knowledge. Learning and training new knowledge or skills evoke specific and repeated activity patterns, and in the process of Hebbian neuroplasticity, neural pathways are reinforced by the strengthening of specific synapses, while less functional ones are eliminated [ 14 , 15 , 16 ].

Almost half a century ago, Vygotsky introduced the zone of proximal development (ZPD) [ 17 ] in education. According to the ZPD, learning and development depend on an optimal balance between support and challenge (see Figure 1 : the zone of proximal development and neuroplasticity), which should be tuned and tailored for each learner based on their specific developmental stage. The ZPD model was revolutionary, as it emphasized the importance of the educational environment (nurture) in unlocking the internal potential (nature) of students, and it placed the learning process (as opposed to the learning product ) as the central educational goal [ 17 ]. Some decades later, the biology of learning revealed a beautiful alignment with Vygotsky’s theory—with evidence showing that brain neuroplasticity is highly affected by environmental conditions and the balance between demands (challenge) and available resources (support) [ 18 ]. The impact of stressors on learning can be constructive or destructive depending on the intensity, duration, and accumulation of the stressors and the coping mechanisms and support that one has.

The zone of proximal development and neuroplasticity. An integrative approach between Vygotsky’s educational model and the neuroscience of learning. When learning and performance demands exceed the available support and resources, students are likely to be overwhelmed and resort to survival mode (stress zone). When learning and performance demands are significantly lower than the available support and resources, students are likely to be under stimulated and resort to static mode (comfort zone). When learning and performance demands match the available support and resources, students are likely to be appropriately challenged and work within their zone of proximal development, which promotes neuroplasticity and growth (stretch zone).

Neuroscience research suggests that experience-dependent neuroplasticity [ 19 ], which facilitates learning processes, benefits from several principles. The central one is that learning a skill or new knowledge requires the activation of relevant neuronal pathways. The research also points to the saliency, intensity, and repetition of the learned skill/knowledge as valuable strategies for enhancing neuroplastic changes [ 16 , 20 , 21 ]. Learners cannot be passive recipients of content but must be active participants in the learning process.

An enriched environment for enhanced neuroplasticity offers physiological integrity, cognitive challenge, and emotional safety. More specifically, an enriched environment includes adequate sleep and nutrition, sensory–motor and cognitive challenges, opportunities for exploration and novelty, and secured relationships that act like a safety net and enable learners to take on challenges [ 22 , 23 ]. Conversely, a lack of these conditions may slow down or decrease the level of neuroplasticity in the developing brain.

The social and cognitive safety net that enables learners to aim high while taking risks and to turn failure into resilience is rooted in safe relationships (with adults and peers) and in holding a growth mindset. A growth mindset is the belief that intelligence and learning potential are not fixed and can be developed [ 24 ]. Holding a growth mindset has been associated with academic success, emotional wellbeing, and motivation while reducing racial, gender, and social class achievement gaps [ 25 , 26 , 27 , 28 , 29 , 30 ]. While the impact of mindset interventions on academic performance is debatable regarding the general population [ 31 ], the literature is clear about the potential of growth mindset intervention in supporting the academic development of high-risk and economically disadvantaged students [ 26 , 27 , 31 , 32 ].

The notion of human potential as something dynamic resonates with the concept of the plastic brain. Moreover, teaching students about neuroplasticity and the dynamic potential of their brains has been shown to effectively reinforce a growth mindset [ 32 ].

1.1.1. Using Neuroplasticity as Educational Content

Teaching students about experience-based neuroplasticity and the dynamic changes in neuronal networks during learning provides strong evidence of their natural and powerful learning capacity. Furthermore, teaching students about neuroplasticity with explicit connections to the growth mindset and development creates a motivating premise for learners—according to which their learning potential is dynamic and depends significantly on their attitudes and learning practices.

The neuroplasticity rules of “use it or lose it” and “use it to improve it” mean that, while teachers should support and guide them, learning occurs by and within the students. This physiology-based realization can help build students’ responsibility and ownership over their learning.

Harnessing neuroplasticity and a growth mindset to motivate students can be especially important with neurodivergent learners, whose cognitive development and learning styles deviate from the typical range. Twenty percent of the population is neurodivergent, including students on the autistic spectrum (ASD), students with learning disabilities (e.g., dyslexia), attention disorders (e.g., ADHD), neurological disorders (e.g., epilepsy), and mental illness (e.g., PTSD). While neurodiversity and variations in neuronal and cognitive expressions hold many advantages [ 33 ], neurodivergent students face extra challenges navigating neurotypical-oriented school systems. Learning about neuroplasticity can be a potent form of validation for neurodivergent students, as neurodiversity is a natural result of experience-dependent neuroplasticity [ 19 ]. In addition, by fostering a growth mindset and neuroplasticity awareness, neurodivergent students can be motivated to participate in evidence-based interventions. For example, teaching students with dyslexia about the specific structural and functional brain changes associated with the reading interventions that they apply [ 34 , 35 , 36 ] can motivate them to endure the hard work before noticing visible results.

1.1.2. Using Neuroplasticity to Guide Learning Design

Organizing learning systems around conditions that promote neuroplasticity can enhance learners’ academic development and wellbeing. When a student accomplishes today what was not in their reach yesterday, it is the product of neuroplasticity through a growth mindset.

Educational environments that promote neuroplasticity include encouraging and modeling a healthy lifestyle (physical exercise, a balanced diet, sufficient sleep, and regulated stress), —for example, educating students about the counter-productiveness of sleep deprivation (e.g., “all-nighter” study marathons) on learning. In addition, learning systems should invest in intellectual stimulation (novelty and challenge) and the system’s social and emotional climate (human connections). Neuroplasticity and development are optimal in the stretch zone, where learners experience a motivating level of challenge and stimulation while feeling emotionally supported and socially safe. This ratio between support and challenge should be individualized (between learners and within learners over time).

Educating teachers about neuroplasticity can be powerful in understanding and supporting students that were affected by trauma. Childhood adversity hampers neuroplasticity duration and magnitude [ 37 ]; a surviving brain is not a learning brain. While neuroplasticity is compromised by early trauma, neuroplasticity is also the key to healing from trauma. Schools have a pivotal role in battling the damage of early trauma by creating enriched and safe learning environments that reinforce alternative neuronal pathways to reverse the effects of early adverse environments on child brain development [ 22 , 38 , 39 , 40 ].

1.2. Learning Motivation and Reward

Learning and adaptation are essential for surviving and thriving in dynamic environments. The brain evolved to make sense of information from our external and internal environments and to produce adaptive behaviors that promote survival. The brain is, therefore, a learning machine by nature, and learning does not require external initiation. However, learning is highly experience-dependent and can be directed and enhanced through education.

The brain reward system evolved to reinforce effortful behaviors that are essential for survival (e.g., foraging, reproduction, and caregiving). Such behaviors activate the dopaminergic system associated with reward and motivation [ 41 ]. The hormone/neurotransmitter dopamine is a central player in reward-motivated behavior and learning through the modulation of striatal and prefrontal functions [ 42 ]. The human brain reward system balances between (limbic) impulsive desire and (cortical) goal-directed wanting to guide flexible decision-making and adaptive motivational behaviors.

Psychologically, intrinsic motivation is driven by the need to experience a sense of competence, self-determination, and relatedness [ 43 , 44 , 45 , 46 , 47 ].

Competence refers to a perception of self-efficacy and confidence in one’s abilities to achieve a valuable outcome. Self-determination refers to the sense of autonomy and agency in the learning process. Relatedness refers to the drive to pursue goals that hold social value, which can be achieved by working collaboratively as part of a team or by creating something that resonates with others. Relatedness is a strong motivational driver, as it touches on a primary and primordial need to be part of a group and a higher spiritual and intellectual need for self-transcendence and impact.

Overall, these components are based on the human inclination to be valued and validated by the self and others. Biologically, they reflect basic survival needs that combine self-reliance (competence and ownership) and social reliance. Psychologically, these are all subjective perceptions that serve the need to maintain positive self-perception and self-integration. Finally, educationally, they reflect the natural human curiosity and tendency to learn and develop continuously.

The human brain reward system in the 21st century is an evolutionary mismatch. There is a discrepancy between the conditions that the reward system evolved to serve and those that it often faces in the 21st century. The reward system evolved over millions of years to motivate humans to work hard (invest time and energy) in maintaining their survival needs (e.g., nutrition, protection, reproduction, and the learning of new skills). However, this system is not designed for the abundance and immediacy of stimulation in the digital and instant reward era, which promotes the persistent release of dopamine that leads to an increased craving for reward (seeking behavior; wanting) and a decreased sense of pleasure and satisfaction (liking) [ 42 , 48 ].

Some of the most significant challenges of modern education systems relate to the massive changes in how people consume information and communicate in the digital era. Digital platforms have become dominant in information consumption and communication, which provide access to unlimited information and reinforce immediate rewards.

1.2.1. Using Neuroscience (of Reward and Motivation) as Educational Content

The science of human motivation, including its evolutionary mismatch, can be utilized to shed some light on students’ struggles with learning motivation. It can further provide a framework for students to explore their motivational (approach or avoid) tendencies regarding learning and academic challenges. Moreover, learning the neuroscience underlying motivation and reward can raise students’ awareness and proactivity in managing and protecting their reward system. Since adolescence is the peak time for the initiation of substance use, and early onset imposes a higher risk of mental health and substance abuse disorders persisting into adulthood [ 49 , 50 , 51 ], neuroscience knowledge about the reward system and its vulnerability (especially during brain development) is essential educational knowledge that can help in the prevention and mitigation of teen addiction.

1.2.2. Using Neuroscience to Guide Learning Design and Intrinsic Motivation

While students of the digital era are the most stimulation-flooded and attention-challenged in human history, learning is a process that takes time, selective attention, and perseverance. Therefore, learning designs that harness students’ intrinsic motivation for training and the development of stamina and grit (skills that might be hampered in the digital era) are precious for students’ health and success.

Motivational drivers include an adequate level of challenge that fits the student’s sense of competence and that creates optimal arousal levels, opportunities to expand social relatedness and impact, and balance between support and autonomy (see the ZPD, Figure 1 ).

Importantly, in classroom learning, educators are required to manage the attention, motivation, and reward system of not one but many students, which is a complex task. The typical classroom presents a broad spectrum of learners with diverse learning needs and stretch zones ( Figure 1 ). While the facilitation of autonomy and the sense of competence varies between learners and requires personalized support, the social norms that promote learning are more ubiquitous and apply to most learners. While educators do not always have the resources to support students’ motivation individually, harnessing the social aspects of classroom learning is a manageable, effective strategy to elevate students’ motivation. Learning environments that demonstrate empathy, inclusiveness, and psychological safety have shown positive results in students’ behavior, self-esteem, motivation, and academic success [ 52 , 53 , 54 , 55 , 56 ]. Social motivation has been shown to enhance the encoding of new information (even if the content is not social) [ 57 ]. Learning-for-teaching and peer tutoring (one student teaching another student) effectively encode information into memory. Beyond memory improvement, peer tutoring has many further benefits to both the tutor and the learner in academic achievements [ 58 , 59 ], motivation, and ownership over the learning process and results in a deep conceptual understanding of the material [ 60 ].

The teacher’s demeanor is another controllable factor with a high potential to affect students’ motivation. For example, the literature points to teachers’ immediacy (creating physical and psychological closeness with students) as an effective way to enhance students’ engagement, learning motivation, and performance (including memory retention) [ 61 , 62 , 63 , 64 , 65 ]. Immediacy can be demonstrated through verbal and non-verbal gestures that communicate interest and personal connection (relating to personal stories, using animated voice and body language, creating eye contact, and using humor).

The research also indicates that, when students perceive the content as being personally relevant, they are more motivated to study [ 66 ]. Therefore, educators can actively make the learning content more relevant by using stories and real-life examples, making explicit connections and demonstrations of how the content may be relevant/applicable to the students, and giving students opportunities to reflect and share their connections to the learning material.

In summary, physiological and psychological approaches point to primary motivational drivers that direct engagement and investment in the learning process. Not surprisingly, these drivers that are anchored around social and intellectual needs align with the conditions supporting neuroplasticity discussed in the first part of this review.

1.3. Intrinsic and Extrinsic Processing in Learning and Meaning-Making

As the environment provides more information than the brain can handle, survival depends on saliency detection and attention management to direct perception and behavior. The brain constantly selects and attends to relevant input while suppressing irrelevant or distracting information [ 67 ]. Information that is valuable or urgent for survival and prosperity receives attention. Attention capacities (e.g., alerting, orienting, and controlling attention) are managed by several brain systems that interact and coordinate [ 68 , 69 , 70 ]. Top–down, cognitive-driven attention that fosters a goal-directed thinking process is associated with the dorsal attention network (consisting of the intraparietal sulcus and the frontal eye fields) [ 71 ]. This mechanism enables students to read a paragraph, listen to a lecture, think about the teacher’s question, or write an essay. A second attention system is bottom–up and stimulus-driven, and it orients attention to unexpected and behaviorally relevant stimuli. This ventral attention network consists of the right temporoparietal junction and the ventral frontal cortex [ 71 ]. This attention-grabbing mechanism enables the individual to respond quickly to urgent environmental demands, for example, moving away to prevent a struck-by-object accident. Flexible attention control depends on dynamic interactions and switching between the two systems and involves the central executive network (CEN) [ 68 , 70 ].

The insula and anterior cingulate cortex comprise the core structures of the saliency network [ 72 ], another major player in attention altering to emotionally salient stimuli through the interaction of the sensory and cognitive influences that control attention [ 72 , 73 , 74 ].

In addition to outward-focused attention, the human brain is also invested in inward-focused processing. Functional brain imaging studies of the human brain show a robust functional anticorrelation between two large-scale systems, one highly extrinsic and the other deeply intrinsic [ 75 , 76 , 77 ]. The central executive network (CEN) is an externally driven system and is paramount for attention control, working memory, flexible thinking, and goal-directed behavior. The core components of the CEN are the dorsolateral PFC and the lateral posterior parietal cortex (hence, the frontoparietal network) [ 72 , 78 ]. When the human brain is not occupied with external tasks, the default mode network (DMN) is activated. This internally driven cognitive network includes the posterior cingulate cortex (PCC) and the medial prefrontal cortex (MPFC) as core components. The DMN is thought to facilitate reminiscing, contemplating, autobiographical memory, self-reflecting, and social cognition [ 79 ]. Conversely, the DMN is immediately suppressed when the brain is engaged in externally driven tasks and stimulation.

Resting-state brain imaging studies revealed that the activity in the DMN during resting awake states indicates the quality of subsequent neural and behavioral responses to environmental stimuli [ 72 , 80 ]. Moreover, a high connectivity between “intrinsic” (DMN) and “extrinsic” (CEN) brain networks, and specifically emotional saliency, attention (extrinsic), and reflection (intrinsic) networks is associated with better cognitive performance, meaning-making, and broad perspective thinking [ 75 , 76 , 81 ]. These networks function antagonistically but are highly connected and balance each other. Furthermore, the anticorrelation between their function is associated with better task performance and positive mental health [ 79 , 82 ]. Recent studies also suggest that a causal hierarchical architecture orchestrates this anticorrelation between externally and internally driven brain activities. More specifically, that regions of the saliency network and the dorsal attention network impose inhibition on the DMN. Conversely, the DMN exhibits an excitatory influence on the saliency and attention system [ 79 ].

1.3.1. The Neuroscience of Extrinsic and Intrinsic Processing as Educational Content

Teaching students about the dynamics of the default mode and executive control network can help them understand how their brain processes information, the importance of each process (e.g., extrinsic and intrinsic), and their integration for meaningful learning. This knowledge can be applied as students explore and experiment with ways to enhance their learning and memory by intentionally engaging both intrinsic and extrinsic processing and integrating the two.

1.3.2. Using the Neuroscience of Extrinsic and Intrinsic Processing to Guide Learning Design

Traditionally, instructional education is based on learning objectives that are externally dictated and is focused on outward attention (stimulus-driven lectures and assignments). Mind-wandering has become the enemy of classroom teachers, as it indicates students’ lack of attention and poor learning.

Nevertheless, neuroscience research indicates that meaning-making and cognitive performance benefit from the interplay between extrinsic and intrinsic oriented attention and processing [ 56 , 75 ].

Learning instructions should consider the different attention mechanisms, evoking adequate arousal levels and leading to goal-directed thinking. Furthermore, students will benefit from an educational design that stimulates the natural interplay between “intrinsic” (DMN) and “extrinsic” (CEN) brain networks by incorporating external stimulation (e.g., presenting content), allocating time and space for intrinsic reflection (e.g., guided reflection and journaling), and integrating the two (e.g., guided class discussion and insights sharing) [ 83 , 84 ].

2. Discussion

2.1. teaching students about their developing brains.

As far as we know, humankind is the only species with access to the underlying mechanisms of its perception, learning, and inner workings. In addition, the human brain is endowed with a lengthy developmental period of approximately 25 years [ 85 , 86 ]. Therefore, schooling years are the prime time for neuroplasticity, and students can learn about their brains while they are highly malleable and can utilize this to amplify their learning and growth.

While students were traditionally required to choose whether to focus on the humanities or science fields, an integrative view is becoming increasingly common in academic institutes. Multidisciplinary studies have been shown to promote students’ positive learning and professional outcomes [ 87 ]. Teaching neuroscience from a dual perspective, both scientific/objective and humanistic/subjective, is a novel but natural bridge between the humanities and science fields.

Studying neuroscience with explicit connections to the lived experience of brain development and its behavioral manifestation can be academically and personally transformative for students.

Shedding a scientific light on students’ experiences as they unfold can support significant developmental processes during those years, such as improvements in executive functions, emotional regulation skills, meta-cognition, and social cognition [ 88 ].

Among the topics and burning issues of teens and young adults that neuroscience can offer insights into are selective and leaky attention [ 89 ], the reward system and addiction [ 90 ], the PFC–limbic developmental mismatch during adolescence [ 91 ], neurodiversity and inclusion, emotion regulation, and mental health [ 92 ].

Moreover, adding a personal layer to neuroscience studies fits the notion that personal relatedness and relevance are essential for learning motivation. Teaching neuroscience from a dual (scientific and personal) perspective and connecting neuroscience knowledge to a deeper understanding of the self and others can elevate engagement and nurture students’ passion for science and their ability to integrate and transfer scientific knowledge across contexts. In addition, similar to the effect of physical education, educational neuroscience can promote the awareness of brain health and encourage students to be intentional about their education and developmental trajectory.

2.2. Teaching the Way(s) the Human Brain Learns Best

Teaching students in brain-friendly ways means implementing principles that align with how the human brain encodes, consolidates, and retrieves information. Educational neuroscience points to the importance of a holistic and integrated view of cognitive, emotional, and social aspects to support learning and development [ 52 , 75 , 93 , 94 ]. Maintaining physical health, cognitive challenge, and emotional safety are essential factors in creating an enriched environment that supports neuroplasticity and learning.

Assessing the learning progress rather than the end product can encourage students to move away from rote memorization to more meaningful learning that carries on beyond the final exam.

Meaningful learning can be promoted by learning designs that encourage students to take experimental and explorative approaches, take risks, and make mistakes without detrimental consequences to their grades.

Furthermore, assessments throughout the learning process and not only at the end of it, using multiple sample points and low-risk tasks, can provide information on the student’s learning curve and allow for personalized and timely feedback that students can apply to improve their learning on the go.

These methods not only promote psychological safety but also align with the evidence-based practices of building long-term and accessible knowledge by spreading out the learning concept across time (spacing), practicing information retrieval from memory (recall), and integrating and transferring knowledge (the application of knowledge in different contexts) [ 95 ].

3. Conclusions

Brain knowledge is brainpower; teaching students about their developing brain can support their academic and personal development by deepening their understanding of science and humanities, their mental capacity, and their self-identity. Educational neuroscience is a promising field in teaching students about their brains and teaching them in brain-friendly ways to support them in becoming lifelong learners.

Funding Statement

This research received no external funding.

Institutional Review Board Statement

The study did not require ethical approval.

Informed Consent Statement

Not applicable.

Data Availability Statement

Conflicts of interest.

The authors declare no conflict of interest.

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What Is Brain-Based Learning?

In the past two decades, neuroscience research has proven the traditional classroom isn’t as stimulating for student learning as it could be. Enter brain-based learning, an innovative approach to education based on scientific research. It involves a teaching method that limits lectures and encourages exercise breaks, team learning, and peer teaching. Brain-based learning centers around neuroplasticity, or the remapping of the brain’s connections when learning new concepts.

Brain-Based Learning: Definition, History, and Principles

Brain-based learning uses neuroscience to create an informed curriculum and lesson design. The goal? Speedy and efficient learning. The research that informs this method centers around the brain’s ability to change, remap, and reorganize itself while someone is learning new information, according to Education Reform. This ability is influenced by things like exercise, diet, and stress level. A person’s emotional state also impacts their learning ability.

When information is presented in effective ways, the brain is able to function better, its resilience is increased, and its overall working intelligence is improved. Research has also shown that the brain physically changes while learning. Thus, the more new skills are practiced, the easier learning becomes.

Using this research as a springboard, teachers implement brain-based learning principles in the classroom. They specifically focus on reducing stress, effectively delivering material, increasing students’ movement, and building in opportunities to practice. While the principles remain the same no matter the age of a student, people do begin to learn differently as they mature. So, the delivery methods of these principles adapt accordingly.

History of Brain-Based Learning

Neurological research gained momentum in the 1990s. Up until this point little was known about neural pathways, and the left and right brain theory, introduced in the 1960s, was decades old. From the 1990s up to the present day, scientists have discovered more about the brain than in all other centuries combined, according to the Global Digital Citizen Foundation.

In 1994, Geoffrey Caine and Renate Nummela Caine’s research concluded that students had increased retention and understanding of topics when in a brain-based teaching environment. Since then, brain-based learning has become a more common practice in schools.

The core principles of brain-based learning follow. Each principle lays out a formula for better retention and learning among students.

Health and Exercise

The more active and engaged students are physically, the better their learning outcomes. This requires more than a midday recess or a walk between classes. Allowing students to take walking breaks during lessons and throughout the day, for example, revitalizes students, increases their attention span, and better prepares them to retain information.

Positive Emotions

The happier students are, the more they are willing to learn and think effectively. Affirmations from the teacher are one way to raise student self-esteem.

Working in teams with classmates allows students to learn from one another. This helps them retain information they may not have accepted or understood from the teacher.

Peer Teaching

When students teach materials to their peers, it helps them retain that same information. This can be done in small groups or through presentations.

Learning through repetition and trial and error is more effective than simple memorization. Students will gain a better understanding of the subject through practice, rather than just memorizing the details.

Limited Lectures

Only 5 to 10 percent of information is retained during a lecture, according to Classcraft. Making lessons largely discussion-based promotes student learning.

Meaningful Information

Students are more likely to remember information if they are engaged with the lesson. By applying the material to their lives, students will find it meaningful. For example, a lesson on economics could be related to smartphone ownership.

Written and Verbal Information

Having students both write and verbalize information will help move it from their short-term memory to their long-term memory.

Stimulation

Catching students’ attention through humor, movement, or games stimulates their brains’ emotional center. In turn, this increases students’ engagement and processing of information.

Less Stress

Stress chemically changes the brain. In a calm classroom environment, students have the opportunity to perform at higher levels.

Benefits of Brain-Based Learning

The benefits of brain-based learning follow the principles. These include:

• Health. This approach promotes health and exercise, boosting the overall fitness and wellness of students.
• Better psyches. Positive affirmations and limited criticism helps students feel good about themselves and view themselves in a positive manner.
• Cooperation. The more group work students do, the more they learn how to cooperate and compromise.
• Improved memory. Overall, brain-based learning helps students build their memories and retention. The peer-teaching principle, in particular, leads to increased memorization and understanding of information.

Teachers experience another major benefit from this approach: more than one strategy works. This teaching and learning style isn’t a one-size-fits-all experience. Teachers can apply multiple strategies following the principles, making it likely they will experience results with their students.

Classroom Application

As it has multiple strategies, brain-based learning also has many classroom applications. For example, both verbal and written information can be included in lessons, which boosts retention. Hands-on activities can also be created, such as providing students with physical clocks to learn time.

Another application is modeling assignments on real-world challenges students experience. For example, when teaching about percentages, a shopping activity can be set up. Each item could be on sale and the student challenged to calculate the sale price before they can be rewarded with it. This activity can also be done in groups where they have a budget to follow. This helps them learn problem solving and critical thinking all in one activity, moving outside the lecture and into practical applications of the lesson.

It’s important to note that not all strategies work for all students. Regularly trying new approaches and working through trial and error is the best way to begin implementing brain-based learning in the classroom.

Grow as a Teacher at American University

Brain-based learning is just one innovative approach teachers use today. To develop more techniques and grow as a teacher, American University’s online Master of Arts in Teaching program prepares students to be progressive minded and prepared. Through courses like Effective Teaching for Diverse Students, American University students cultivate skills to design cutting-edge curriculums. Grow your knowledge and passion for teaching at American University.

How Do Video Games Help With Learning Disabilities?

Identifying Gifted Students: Addressing the Lack of Diversity in Gifted Education

Professional Development Resources for Teachers

Classcraft, “What Is Brain-Based Learning?”

The Edvocate, “How Brain-Based Learning Makes a Difference”

Waterford.org, “How to Use Brain-Based Learning in the Classroom”

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Table of Contents

How critical thinking skills develop: a brainy overview.

• The Juice Team
• December 17, 2020

Our greatest hope as parents and educators is that our children grow up to become high functioning members of society who can think intelligently, make educated decisions, and succeed in their chosen professions. The skill sets our children will need to develop to succeed in the 21st century are, however, different than those needed in previous decades. This change in skills demanded from the labor market has been the result of an economy transformed by ever-expanding automation, artificial intelligence, big data, and globalization. To succeed in our new, information-based economy, students will need skills beyond those traditionally tested in the classroom.

Comparing skill sets across several sources, including Forbes , Indeed , the World Bank , and Pearson & Nesta , it is clear that employers value high-order cognitive skills. Employers are seeking employees who can solve problems creatively, collaborate with team members effectively, work independently, and think critically among other interpersonal and interpersonal skills.

In order for us to best prepare our students for the opportunities and challenges awaiting them, we need to understand how higher-order thinking skills are developed. The brain can teach us a lot.

A Brief Overview of a Child’s Neurological Development 

While the brain takes nearly 25 years to fully develop, its most rapid changes occur during adolescence making it a critical period for students to engage in stimulating activities that promote thinking.

The Prefrontal Cortex: Home to Higher-Order Thinking

Put your hand on your forehead (as if you have a headache) – the area behind your hand is where your prefrontal cortex is located. The prefrontal cortex regulates our thoughts, emotions, and actions through extensive connections to other neural structures, and is the main center for critical thinking. Without it, we would not be able to perform many executive functions like problem-solving, reasoning, self-motivation, planning, decision-making, self-control, and the list goes on.

Compared to all other animals, the human brain has the greatest volume of prefrontal cortex — which is why humans have the greatest potential to think critically!

The prefrontal cortex is the last neural structure to mature. During adolescence, the prefrontal cortex both grows in a process called myelination and shrinks in a process called pruning . 

The Growing Adolescent Brain

New neural networks form when we repeat activities and link ideas. In a process called myelination, fatty “myelin sheaths” insulate connecting neurons to increase the speed and efficiency of the flow of information from one neural region to another. While myelination begins early in life and continues into adulthood, the production of myelin sheaths escalates during adolescence. Because myelination facilitates faster long-range connections in the brain, adolescents gain an increased ability to think abstractly and bring ideas together from different locations in the brain.

The Shrinking Adolescent Brain

During childhood and adolescents the brain soaks up information like a sponge, but there is only so much storage space in the brain. As a result, “ synaptic pruning ” occurs. This process is often referred to as the “ use it or lose it ” philosophy — the neural pathways that are underutilized are pruned or removed from the brain.

Basically, the brain decides which neural links to keep depending on how often they are used. So, if you want to speak a foreign language, play a musical instrument, or become a great athlete, you should engage in those activities before and during adolescence. 

Neurons that Fire Together, Wire Together

During this period of rapid neural development, learning actually changes how the adolescent brain is structured and how it functions. As teachers, parents, and mentors it is our responsibility to provide students with the foundational information and learning opportunities necessary to stimulate their developing neural networks of executive functions.

Neurons that fire together, wire together. Basically the more often you stimulate a neural-circuit in your brain, the stronger that circuit becomes. This phenomena explains why it becomes easier to speak a foreign language with practice and why learning how to play a second musical instrument is easier than learning how to play an instrument for the first time — practice strengthens the involved neural circuits.  

Given that schooling occurs when the brain is undergoing its most rapid period of growth, caregivers and educators play a critical part in changing adolescents’ neural structures and shaping their brain function. Research shows that “a well-developed prefrontal cortex with strong Executive Functions can improve both academic and life outcomes.”

Students, even if they don’t know it or admit it, need help in order to  take full advantage of this transformational period in their development.

How Can we Help Students Take Full Advantage of This Period of Rapid Brain Development?

1. encourage students to try many activities.

Many parents with student-athletes ask, “should my child play many sports or specialize?” Research has shown that children who play multiple sports become better athletes compared to those that focus on just one.

The same is true for the brain! Adolescents who are enrolled in a range of extracurricular activities engage more with their caregivers, learn more about their personal interests, are more active in their communities, and are less likely to engage in criminal activities.

2. Engage Adolescents in Conversation and Encourage Them to be Curious

MIT cognitive scientists have found that conversations between child and parent actually change the brain’s structure. Conversations that focus on solving problems collaboratively and building connections with others trigger physical and emotional changes in the brain enabling us to form relationships and think with empathy. Trust is mediated by the prefrontal cortex , so creating a safe-space where trust is present, is a prerequisite for the activation of the brain’s ability to think strategically, empathetically, and compassionately.

Asking adolescents open-ended questions is a great way to get your teen to think creatively without fear of giving a wrong answer. You can learn more about the power of understanding different perspectives here. (link to other blog post)

3. Create Safe and Secure Environments (with Reasonable Boundaries)

Creating a safe environment is important for more than just creating conversations. While the prefrontal cortex is developing, the amygdala (the brain region in charge of emotion) takes over. This explains why adolescents interpret most conversations and situations through an emotional, fear-attuned mind rather than a trust-seeking, rational one. By creating safe environments we help calm down the fear center of the brain and enhance learning. Furthermore given that the emotional and rational centers of the brain are not yet fully connected, it is normal for teens to act impulsively, engage in risk-taking behaviors, and feel overly self-conscious.

Creating safe spaces, defining boundaries, and creating opportunities for those boundaries to be negotiated, enables teens to take healthy risks and experiment with their sense of self, both of which contribute to healthy development. 

4. Promote Healthy Eating and Sleeping Habits 

The brain requires energy — sleep and healthy foods — to form new neural networks. Specifically, healthy fats like omega 3 fatty acids are used in the formation of myelin sheaths, which if you remember is what enables neural pathways to speed up connections between neurons and prevent connection interference. 

The brain only has so much room for new information — when we sleep the brain prunes (e.g. removes) unused networks and builds more streamlined efficient pathways. Thinking with a sleep-deprived brain is like trying to walk through a dense jungle. 

5. Provide Instructional and Motivational Feedback 

Given that the prefrontal cortex takes the longest time to mature, teens tend to process information with the amygdala, the brain’s center for processing emotion and fear. Because the connections between the prefrontal cortex, the brain’s rational part, and the amygdala are not yet fully formed a teen might misperceive a benign “hello” as “I’m watching you” or “I noticed that pimple.”  Additionally, until the prefrontal cortex is fully developed, teens might find it difficult to identify and balance short-term and long-term consequences of an action.

In a parenting guide published by Stanford Children’s Hospital , we learn that  “discussing the consequences of their actions can help teens link impulsive thinking with facts.” Our teens rely on us to point out these cognitive errors, and help guide them through complex decision-making. By setting good examples for our teens and providing feedback we can help rewire their brains in a healthy way.

Now you know how you can help teens maximize their brain potential! While adolescents are a crucial time to develop the brain, remember that everyone’s brain is plastic, including yours. No matter how old you are or what level your brain function is at today, your brain can improve. Stay engaged, stay curious, stay active, and read The Juice!

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• Partnerships

Critical thinking

Effective lifelong learning

Executive summary

• One of the most striking characteristics of the XX and XXI centuries is the “exponential growth” of knowledge generated in any discipline, which is available to most of the world’s citizens.
• As it is no longer possible to comprehend all the information available, in relation to disciplines or even subdisciplines, education should promote the acquisition of learning abilities related to modes of thought rather than solely the accumulation or memorization of, in many cases, information that may be only infrequently useful.
• One mode of thought, reflective thinking or critical thinking, is a metacognitive process—a set of habituated intellectual resources put purposefully into action—that enables a deeper understanding of new information. It also provides a secure foundation for more effective problem-solving, decision-making, and appropriate argumentation of ideas and opinions.
• The global output of teaching critical thinking is adding new competences to everyone’s basic capacities for greater cognitive development and freedom.

“… Nothing better for the mental development of the child and the adolescent than to teach them superior ways of learning that complement, continue, rectify and elevate the spontaneous ways. Originality is a precious heritage that the pedagogue must not only guard, but lead, in the domain of values, to its maximum expression. And with superior ways of learning, culture and originality grow in parallel. To teach superior ways of learning is to add to the native powers, new powers for greater independence of the spirit in all its manifestations. It is teaching to move only upwards…Teaching to observe well, to think well, to feel good, to express oneself well and to act well is what, in sum, every pedagogical doctrine, new or old, revolutionary or conservative, of now and forever, is materialized.” (Clemente Estable, 1947 1 ).

Introduction and historical background

The brain is the organ that allows us to think. This confronts us with a philosophical challenge that has been accompanying human civilization for more than 2,500 years: H ow can the brain help us to understand how the brain enables us to understand? 2

Ancient Greek philosophers have already questioned themselves about the source of knowledge and cognitive functions and hypothesized about the fundamental role of the brain, in opposition to the heart or even the air or fire 3-6 . The Socratic method, involving the introspective scrutiny of thought guided by questioning, paved the long-lasting way to contemporary approaches and conceptions about “good thinking,” also called “reflective thinking,” 7 and more recently, “critical thinking” 8 .

As in any area of knowledge, most of the accumulated content—which is vast and always evolving—is nowadays accessible to everyone who has access to the internet. Thus, it can be argued that educational efforts should concentrate on improving the next generation’s modes of thinking. It is desirable to promote engagement with knowledge rather than transmitting the requirement of accumulating data—usually disposable information—through mastery or memorization 9 .

Critical thinking is a fundamental pillar in every field of learning within disciplines as diverse as science, technology, engineering, and mathematics as well as the humanities including literature, history, art, and philosophy 5,9,10 .

No matter the discipline, critical thinking pursues some end or purpose, such as answering a question, deciding, solving a problem, devising a plan, or carrying out a project to face present and future challenges 11 . Hence, it is also applicable to everyday life and is desirable for a plural society with citizenship literacy and scientific competence for participation in diverse situations, including dilemmas of scientific tenor 7,12 .

In spite of the explicit valuing of critical thinking, and iterative efforts to promote its effective incorporation in the curricula at different levels of education of science, humanities, and education itself, difficulties for deeper grasping of critical thinking and challenges for its fruitful integration in educational curricula persist 13,14 . Such difficulty is in part caused by a lack of consensus regarding a definition of critical thinking.

Defining critical thinking

Critical thinking is a mental process 11 like creative thinking, intuition, and emotional reasoning, all of which are important to the psychological life of an individual 10 . It pertains to a family of forms of higher order thinking, including problem-solving, creative thinking, and decision-making 15 . However, there is not a single or direct definition of critical thinking, probably reflecting the emphasis made on different features or aspects by several authors from diverse disciplines as education, philosophy, and neurosciences 7,10,16-18 .

Some of the distinguishing features of critical thinking and critical thinkers are ( 7, 11, 12, 16, 19, 20 ; see Figure 1):

Figure 1. Diagram of the principal features of critical thinking, including some of the necessary cognitive functions and intellectual resources. The arrows indicate the main mechanisms of modulation: top-down, involving the effect of upper on lower level intellectual resources (for example, the effect of metacognition on motivation that in turn affects perception), and bottom-up (such as the influence of self-analysis and habituation on self-regulation and metacognition).

• Critical thinkers pursue some end or purpose such as answering a question, making a decision, solving a problem, devising a plan, or carrying out a project to cope with present or future challenges.
• Accordingly, critical thinking is purposively put into action and driven by .
• As a result of this top-down influence, critical thinking is an attitude which does not occur spontaneously.
• Critical thinking also involves the knowledge, acquisition, and improvement of a spectrum of intellectual resources such as: –  methods of logical inquiry; – information literacy to gather significant information about the problem and the context for embracing comprehensive background knowledge; – operational knowledge of processing skills for generation of concepts and beliefs: analysis, evaluation, inference, reflective judgment.
• To accomplish these intellectual resources, critical thinkers need to put into action the most basic cognitive functions such as perception, motor coordination and action, sensory-motor coordination, language perception and production, memory, and decision-making.
• Critical thinkers apply these procedures and methods in a systematic and reasonable way.
• As a result, critical thinking is not an immediate cognitive event but a process .
• The main outcome of critical thinking is a reflective, ordered, causal flow of ideas .
• Critical thinkers self-analyze and self-assess the mode of thinking.
• Consequently, critical thinking is a metacognitive process .
• Self-evaluation launches a bottom-up process for modulation and improvement of critical thinking, enabling greater adaptability to different situations.
• Thus, critical thinking also requires training and habituation .
• As a global outcome, critical thinking, as a metacognitive process, also refines self-regulation (i.e., the ability to understand and control our learning environments) 20 .

In sum, critical thinking is a purposeful, intellectually demanding, disciplined, plastic, and trainable mode of thinking in which motivation, self-analysis, and self-regulation play key roles. Several of these aspects were stressed by Santiago Ramón y Cajal (see Figure 2A). Cajal—founder of modern neuroscience and Nobel Prize of Medicine in 1906—hypothesized about the role of brain plasticity, metanalysis habituation, and self-regulation for the acquisition of knowledge about objects or problems: “When one thinks about the curious property that man possesses of changing and refining his mental activity in relation to a profoundly meditated object or problem, one cannot but suspect that the brain, thanks to its plasticity, evolves anatomically and dynamically, adapting progressively to the subject. This adequate and specific organization acquired by the nerve cells eventually produces what I would call professional talent or adaptation, and has its own will, that is, the energetic resolution to adapt our understanding to the nature of the matter.” 20

Figure 2. Left: Portrait of Santiago Ramón y Cajal. Oil painted by the Spanish Postimpressionist painter Joaquín Sorolla in 1906, the year Cajal received the Nobel Prize in Medicine 21 . Right: Microphotography of an original preparation of Cajal showing a pyramidal neuron of the human brain cortex. Staining: Golgi staining. Original handwritten label: Pyramid. Boy 22 .

Neural basis of critical thinking

Figure 3. Mapping of cognitive functions. The diagram superposed on the lateral view of the human brain indicates the location of distributed neural assemblies activated in relation to cognitive functions. Note that the indicated cognitive functions are involved in the same or successive phases of critical thinking. (Modified from ref. 26 ).

The cognitive functions and intellectual resources involved in critical thinking are emergent properties of the human brain’s structure and function which depend on the activity of its building blocks, the neurons (see Figure 2B). Neurons are specialized cells which are almost equal in number to nonneuronal cells in human brains. Of the total amount of 86 billon neurons, 19% form the cerebral cortex and 78% the cerebellum 23 . Neurons are interconnected and intercommunicate through specialized junctions called synapses, of which there are about 0,15 quadrillion in the cerebral cortex 24 and more than 3 trillion in the cerebellar cortex (considering the total number of Purkinje cells and the total amount of synapses/Purkinje cell 25 ). These stellar numbers help us imagine the density of the entangled brain web. This web is not fully active at any time. Instead, distributed groups of neurons or “distributed neural assemblies” are more active at certain topographies when particular cognitive functions are taking place 26 . Considering the spectrum of cognitive functions involved in the process of critical thinking, it will increase activation in much of the brain cortex (see Figure 3).

Teaching critical thinking

 “It is not enough to know how we learn, we must know how to teach.” (Tracey Tokuhama-Espinosa, 2010 27 ).

Teachers have the invaluable potential power of fostering knowledge in the next generations of students and citizens. However, this power is expressed when teachers, instead of teaching what they know—and hence limiting students’ knowledge to their own—teach students to think critically and so open up the possibility that students’ knowledge will expand beyond the borders of the teachers’ own knowledge 28 . Thus, it is important to be aware that—similar to electrical circuits and Ohm’s law—the wealth and depth of students’ knowledge that is achieved or expressed depends not only on the energy or effort that students put in the task but also their own (internal) resistance as well as teachers’ (external) resistance. This metaphor exemplifies that the expected outcomes of education may be better achieved if teachers are familiar with the foundations of critical thinking, better appreciate its worth, and themselves become proficient at thinking critically, particularly in relation to their professional activity.

Now more than ever it is possible for teachers to build a framework to improve the teaching and learning of critical thinking in the classroom 29 thanks to a wealth of information and guidelines resulting from contributions of diverse disciplines since the renewed interest in critical thinking and its promotion in education pioneered by Dewey 7 at the dawn of the 20th century.  According to Boisvert (1999 28 ), up to the 1980s, education focused on the abilities of critical thinking as goals to achieve.

Since then, a growing movement of critical thinking has been characterized by iterative attempts to define critical thinking, as well as by instructing teachers about this process and how to teach it. In parallel, several tools for assessment have been created 11, 30, 31, 32, 33 .

Nevertheless, the long-lasting aim has not been achieved. In trying to envisage more fruitful strategies, it is worth noting the difficulty of transmitting critical thinking as just a skill that can be trained without considering the context. On the contrary, the domain of knowledge and the development of critical thinking should be considered in parallel as related intellectual resources—as pointed out by Willimham 33 . It is worth pointing out that, parallel to the critical thinking movement, there has been an increasing simultaneous interest in the neural bases of critical thinking, leading to the emergence 5,34 of “educational neuroscience” 35 and “brain, mind and education” 36 . These interdisciplinary fields have been elucidating the fundamental mechanisms involved in critical thinking as well as the role of factors that impact on this ability. This, along with the tight collaboration between scientists and teachers, is forging a new (Machado) path or bridge over the “gulf” between these fields 35 .

References/Suggested Readings & Notes

• Estable, C. 1947. Pedagogía de presión normativa y pedagogía de la personalidad y de la vocación. An. Ateneo Urug., 2ª ed., 1, 155-156. http://www.periodicas.edu.uy/Anales_Ateneo_Uruguay/pdfs/Anales_Ateneo_Uruguay_2a_epoca_n2.pdf
• Shepherd, G, M. 1994. Neurobiology, 3rd edn , Oxford University Press.
• Cope, E. M. 1875. Plato’s Phaedo, Literally translated , Cambridge University Press.
• Adams, L. L. D. 1849. Hippocrates Translated from the Greek with a preliminary discourse and annotations. The Sydenham Society.
• Vieira, R. M., Tenreiro-Vieira, C. & Martins, I. P. Critical thinking: conceptual clarification and its importance in science education. Science Education International 22,43–54 (2011).
• Panegyres, K. P. & Panegyres, P. K. The ancient Greek discovery of the nervous system: Alcmaeon, Praxagoras and Herophilus. Journal of Clinical Neuroscience 29, 21–24 (2016).
• Dewey, J. How we think. The Problem of Training Thought 14 (1910). doi:10.1037/10903-000
• Glaser, E. M. (1941). An experiment in the development of critical thinking . New York: Columbia University Teachers College.
• Edmonds, Michael, et al. History & Critical Thinking: A Handbook for Using Historical Documents to Improve Students’ Thinking Skills in the Secondary Grades. Wisconsin Historical Society, 2005. http://www.wisconsinhistory.org/pdfs/lessons/EDU-History-and-Critical-Thinking-Handbook.pdf
• Mulnix, J. W. Thinking critically about critical thinking. Educational Philosophy and Theory 44, 464–479 (2012).
• Bailin, S., Case, R., Coombs, J. R. & Daniels, L. B. Conceptualizing critical thinking.  Journal of Curriculum Studies 31, 285–302 (1999).
• Dwyer, C. P., Hogan, M. J. & Stewart, I. An integrated critical thinking framework for the 21st century. Thinking Skills and Creativity 12, 43–52 (2014).
• Paul, R. The state of critical thinking today. New Directions for Community Colleges 130, 27–39 (2005).
• Lloyd, M. & Bahr, N. Thinking critically about critical thinking in higher education. International Journal for the Scholarship of Teaching & Learning 4, 1–16 (2010).
• Rudd, R. D. Defining critical thinking. Techniques. 46 (2007).
• Siegel, H. (1988) . Educating reason: Rationality, critical thinking, and education . Philosophy of education research library. Routledge Inc.
• Siegel, H. in  International Encyclopedia of Education 141–145 (Elsevier Ltd, 2010). doi:10.1016/B978-0-08-044894-7.00582-0
• Bailin, S. Critical thinking and science education. Science & Education (2002) 11: 361. https://doi.org/10.1023/A:1016042608621
• Facione, P. A. Critical Thinking: A Statement of Expert Consensus for Purposes of Educational Assessment and Instruction.  California Academic Press 1–19 (1990). doi:10.1080/00324728.2012.723893
• Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: metacognition as part of a broader perspective on learning. Research in Science Education  36(1–2), 111–139. https://doi.org/10.1007/s11165-005-3917-8
• Ramon y Cajal, S.  Recuerdos de mi vida .  Juan Fernández Santarén, Barcelona. Editorial Crítica ( 1899); Of Joaquín Sorolla y Bastida, Public domain, https://commons.wikimedia.org/w/index.php?curid=32562506).
• From: http://www.montelouro.es/Cajal.html.
• Herculano-Houzel, S. The human brain in numbers: a linearly scaled-up primate brain. Frontiers in Human Neuroscience 3, (2009).
• Pakkenberg, B.  et al. Aging and the human neocortex. Experimental Gerontology 38, 95–99 (2003).
• Nairn JG, Bedi KS, Mayhew TM, Campbell LF. On the number of Purkinje cells in the human cerebellum: unbiased estimates obtained by using the “fractionator”. J Comp Neurol. 290(4), 527-32 (1989).
• Pulvermüller, F., Garagnani, M. & Wennekers, T. Thinking in circuits: toward neurobiological explanation in cognitive neuroscience.  Biological Cybernetics 108, 573–593 (2014).
• Tokuhama-Espinosa, T. The New Science of Teaching and Learning: Using the Best of Mind, Brain, and Education Science in the Classroom.  Teachers College Press (2010).
• Chavan, A. A. & Khandagale V. S. Development of critical thinking skill programme for the student teachers of diploma in teacher education colleges. Issues Ideas Educ. http://dspace.chitkara.edu.in/xmlui/handle/1/159.
• Paul, R. & Elder, L. Guide for educators to critical thinking competency standards: standards, principles, performance indicators, and outcomes with a critical thinking master rubric. Foundation for Critical Thinking. (2007).
• Paul, R. W. Critical Thinking: What Every Person Needs to Survive in a Rapidly Changing World. Foundation for Critical Thinking. (2000). Retrieved from http://assets00.grou.ps/0F2E3C/wysiwyg_files/FilesModule/criticalthinkingandwriting/20090921185639-uxlhmlnvedpammxrz/CritThink1.pdf
• Paul, R. W., Elder, L. & Bartell, T. California Teacher Preparation for Instruction in Critical Thinking: Research Findings and Policy Recommendations. (1997). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1001.1087&rep=rep1&type=pdf
• Vieira, R. M. Formação continuada de professores do 1.º e 2.º ciclos do Ensino Básico para uma educação em Ciências com orientação CTS/PC. Tese de doutoramento (não publicada), Universidade de Aveiro. (2003). Retrieved from: http://www.redalyc.org/pdf/374/37419205.pdf
• Willingham, D. T. Critical Thinking: Why Is It So Hard to Teach? American Educator 31, 8-19. (2007). Retrieved from http://www.aft.org/sites/default/files/periodicals/Crit_Thinking.pdf
• Zadina, J. N. The emerging role of educational neuroscience in education reform.  Psicología Educativa 21,71–77 (2015).
• Goswami, U. Neurociencia y Educación: ¿podemos ir de la investigación básica a su aplicación? Un posible marco de referencia desde la investigación en dislexia.  Psicologia Educativa 21, 97–105 (2015).
• Schwartz, M. Mind, brain and education: a decade of evolution. Mind, Brain, and Education 9, 64–71 (2015).

How to Use Brain-Based Learning in the Classroom

• October 1, 2019

In his book A Celebration of Neurons: An Educator’s Guide to the Human Brain , educational researcher Robert Sylwester wrote, “The human brain is the best-organized, most functional three pounds of matter in the known universe.” [3]

We cannot afford to underestimate our students’ academic potential. A child’s brain is capable of learning and growth that, if nurtured, can affect the trajectory of their entire academic career, and beyond. Brain-based learning can be one of the best ways to help kids reach their potential.

What is Brain-Based Learning?

Rather than a concrete theory, brain-based learning is more of an educational mindset. In a nutshell, brain-based learning can be defined as all learning theories in education that use research from the following fields as their basis:

• Neuroscience

How can you get started with brain-based learning? Because new research is always coming out, it’s important to intentionally look out for new ideas in the educational world. You might try reading educational journals, discussing strategies with your colleagues, or attending teacher conferences. Once you discover a new brain-based learning strategy, test it out with your students to see whether it works for your classroom.

Keep in mind, however, that since no two students’ minds are alike, some strategies may work for certain students better than others.[4] If you read up on a research-based theory but find that it doesn’t fit your students’ needs, don’t worry! As long as you’re making an effort to discover and use educational research to help your students, you’re using the spirit of brain-based learning in your classroom.

The Educational Benefits of Brain-Based Learning

On the superficial, grades-based level, using psychological or scientific theories of learning can have profound benefits. Researchers found, for example, that teachers who implement brain-based learning often see both increased knowledge retention and academic performance.[7] Not only do students score higher on test scores, but they also remember the skills they’ve learned and can use them beyond the classroom.

Brain-based learning can also affect social-emotional development , or a student’s ability to understand and regulate their emotions. Studies have found that brain-based learning strategies can improve a student’s motivation and attitude.[10] When students develop an intrinsic love of learning and approach class with the right mindset, your entire class will be better prepared for a successful school career.

Ultimately, this is the goal of brain-based learning: to create a learning environment and classroom strategy where all students can thrive.[9] Because the scientific and psychological fields are always evolving, however, take each strategy with a grain of salt.[2] You may need to try a few different theories or strategies before you find those that best align with your classroom needs.

Learning Strategies Compatible with Brain-Based Learning

Now that you understand what brain-based learning is and how it can work, it’s time to discover some active learning strategies based on scientific research. These four learning strategies are just a few examples of how brain-based learning can work within well-known learning theories. Read up on the ones that interest you, then test them out to determine whether they work well with your class.

As mentioned earlier, brain-based learning also aligns with social-emotional learning (SEL) .[7] SEL refers to the way a student learns how to manage their thoughts, feelings, and actions. If you teach students these management skills in class, you can help them approach challenges inside and outside of school with a healthy attitude.

An older and generally respected learning theory in the educational field is multiple intelligences . As with the mindset of brain-based learning, multiple intelligences theory helps teachers remember that every child’s brain is different and may respond better to certain activities.[11] Because multiple intelligences is still undergoing research, however, this is best used as a classroom management strategy and not as a neuroscientific fact.

Finally, experiential learning (also known as “hands-on” learning) is another strategy developed using cognitive research.[12] This strategy encourages students to put concepts they learn in class to the test and both practice and reflect on them. This can help students develop critical thinking skills that extend far beyond a single lesson.

5 Tips to Model Your Curriculum After How Children Learn

Brain-based learning is one of the best ways to help students get the most out of their education. When you plan with your students’ brain in mind, you can put together lessons and activities that reflect how their brains work.

Keep these five tips in mind when you’re planning brain-based learning activities for your kids in class:

• Brain-based learning is not only theoretical but practical, too. Model your assignments in ways that mirror challenges students may face in real life.[15]
• Keep in mind that brain-based learning also encompasses social-emotional development .[7] Plan lessons that teach students social and team-building skills.
• A child’s learning environment can enhance or impair their academic achievement. Avoid creating lessons or situations that make students feel overly anxious, threatened, or helpless.[7]
• Lessons shouldn’t just involve memorizing words or facts. Use activities and lessons to help students learn how to problem solve and develop critical thinking skills that will benefit them for their entire academic career.[13]
• Not every brain-based learning strategy will be a good fit for your students. Try out a variety of different strategies to find the best ones for your class.[14]
• Caine, R.N., and Caine, G. Understanding a Brain-Based Approach to Learning and Teaching . Retrieved from semanticscholar.org: https://pdfs.semanticscholar.org/8d58/b6af940e0117fcd4f52ef7e73e16690261f5.pdf.
• Jensen, E. Brain-based Learning: A Reality Check . Educational Leadership, April 2000, 57(7), pp. 76-80. Concordia University-Portland Room 241 Team. Explanation of Brain Based Learning. Retrieved from cu-portland.edu: https://education.cu-portland.edu/blog/classroom-resources/brain-based-learning-explained/ [1]
• Kaufman, E.K., Robinson, S.J., Bellah, K.A., Akers, C., Haase-Wittler, P., and Martindale, L. Engaging Students with Brain-Based Learning . Retrieved from researchgate.net: https://www.researchgate.net/profile/Eric_Kaufman/publication/253117676_Engaging_Students_with_Brain-Based_Learning/links/5454366d0cf26d5090a5593d.pdf.
• Connell, J.D. The Global Aspects of Brain-Based Learning . Educational Horizons, Fall 2009, 88(1), pp. 28-39.
• Ozden, M., and Gultekin, M. The Effects of Brain-Based Learning on Academic Achievement and Retention of Knowledge in Science Course . Electronic Journal of Science Education, 2008, 12(1), pp. 2078-2103.
• Clemons, S.A. Brain-Based Learning: Possible Implications for Online Instruction . Retrieved from mass.edu: https://www.middlesex.mass.edu/ace/downloads/sept05bb.pdf.
• Edelenbosch, R., Kupper, F., Krabbendam, L., Broerse, J. Brain‐Based Learning and Educational Neuroscience: Boundary Work . Mind, Brain, and Education, March 2015, 9(1), pp. 40-49.
• Prigge, D.J. Promote Brain-Based Teaching and Learning. Intervention in School and Clinic, March 2002, 37(4), pp. 237-241.
• Akyurek, E., and Afacan, O. Effects of Brain-Based Learning Approach on Students’ Motivation and Attitudes Levels in Science Class. Mevlana International Journal of Education, April 2013, 3(1), pp. 104-119.
• Edutopia Staff. Multiple Intelligences: What Does the Research Say? Retrieved from edutopia.org: https://www.edutopia.org/multiple-intelligences-research.
• Kolb, A.Y., and Kolb, D.A. The Learning Way: Meta-cognitive Aspects of Experiential Learning. Simulation & Gaming, 2009, 40(3), pp. 297-327.
• Hmelo-Silver, C.E. Problem-Based Learning: What and How Do Students Learn? Educational Psychology Review, September 2004, 16(3), pp. 235-266.
• Kiewra, K.A. How Classroom Teachers Can Help Students Learn and Teach Them How to Learn . Theory Into Practice, 2002, 41(2), pp. 71-80. NME Foundation. How Do Today’s Students Learn? Retrieved from nmefoundation.org: https://www.nmefoundation.org/getmedia/4e11f2e3-e934-4184-b92d-a2526ba56562/nessc-briefing-how-do-students-learn?ext=.pdf
• International Dyslexia Association. Multisensory Structured Language Teaching Fact Sheet . Retrieved from dyslexiaida.org: https://dyslexiaida.org/multisensory-structured-language-teaching-fact-sheet/.

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A Crash Course in Critical Thinking

What you need to know—and read—about one of the essential skills needed today..

Posted April 8, 2024 | Reviewed by Michelle Quirk

• In research for "A More Beautiful Question," I did a deep dive into the current crisis in critical thinking.
• Many people may think of themselves as critical thinkers, but they actually are not.
• Here is a series of questions you can ask yourself to try to ensure that you are thinking critically.

Conspiracy theories. Inability to distinguish facts from falsehoods. Widespread confusion about who and what to believe.

These are some of the hallmarks of the current crisis in critical thinking—which just might be the issue of our times. Because if people aren’t willing or able to think critically as they choose potential leaders, they’re apt to choose bad ones. And if they can’t judge whether the information they’re receiving is sound, they may follow faulty advice while ignoring recommendations that are science-based and solid (and perhaps life-saving).

Moreover, as a society, if we can’t think critically about the many serious challenges we face, it becomes more difficult to agree on what those challenges are—much less solve them.

On a personal level, critical thinking can enable you to make better everyday decisions. It can help you make sense of an increasingly complex and confusing world.

In the new expanded edition of my book A More Beautiful Question ( AMBQ ), I took a deep dive into critical thinking. Here are a few key things I learned.

First off, before you can get better at critical thinking, you should understand what it is. It’s not just about being a skeptic. When thinking critically, we are thoughtfully reasoning, evaluating, and making decisions based on evidence and logic. And—perhaps most important—while doing this, a critical thinker always strives to be open-minded and fair-minded . That’s not easy: It demands that you constantly question your assumptions and biases and that you always remain open to considering opposing views.

In today’s polarized environment, many people think of themselves as critical thinkers simply because they ask skeptical questions—often directed at, say, certain government policies or ideas espoused by those on the “other side” of the political divide. The problem is, they may not be asking these questions with an open mind or a willingness to fairly consider opposing views.

When people do this, they’re engaging in “weak-sense critical thinking”—a term popularized by the late Richard Paul, a co-founder of The Foundation for Critical Thinking . “Weak-sense critical thinking” means applying the tools and practices of critical thinking—questioning, investigating, evaluating—but with the sole purpose of confirming one’s own bias or serving an agenda.

In AMBQ , I lay out a series of questions you can ask yourself to try to ensure that you’re thinking critically. Here are some of the questions to consider:

• Why do I believe what I believe?
• Are my views based on evidence?
• Have I fairly and thoughtfully considered differing viewpoints?
• Am I truly open to changing my mind?

Of course, becoming a better critical thinker is not as simple as just asking yourself a few questions. Critical thinking is a habit of mind that must be developed and strengthened over time. In effect, you must train yourself to think in a manner that is more effortful, aware, grounded, and balanced.

For those interested in giving themselves a crash course in critical thinking—something I did myself, as I was working on my book—I thought it might be helpful to share a list of some of the books that have shaped my own thinking on this subject. As a self-interested author, I naturally would suggest that you start with the new 10th-anniversary edition of A More Beautiful Question , but beyond that, here are the top eight critical-thinking books I’d recommend.

The Demon-Haunted World: Science as a Candle in the Dark , by Carl Sagan

This book simply must top the list, because the late scientist and author Carl Sagan continues to be such a bright shining light in the critical thinking universe. Chapter 12 includes the details on Sagan’s famous “baloney detection kit,” a collection of lessons and tips on how to deal with bogus arguments and logical fallacies.

Clear Thinking: Turning Ordinary Moments Into Extraordinary Results , by Shane Parrish

The creator of the Farnham Street website and host of the “Knowledge Project” podcast explains how to contend with biases and unconscious reactions so you can make better everyday decisions. It contains insights from many of the brilliant thinkers Shane has studied.

Good Thinking: Why Flawed Logic Puts Us All at Risk and How Critical Thinking Can Save the World , by David Robert Grimes

A brilliant, comprehensive 2021 book on critical thinking that, to my mind, hasn’t received nearly enough attention . The scientist Grimes dissects bad thinking, shows why it persists, and offers the tools to defeat it.

Think Again: The Power of Knowing What You Don't Know , by Adam Grant

Intellectual humility—being willing to admit that you might be wrong—is what this book is primarily about. But Adam, the renowned Wharton psychology professor and bestselling author, takes the reader on a mind-opening journey with colorful stories and characters.

Think Like a Detective: A Kid's Guide to Critical Thinking , by David Pakman

The popular YouTuber and podcast host Pakman—normally known for talking politics —has written a terrific primer on critical thinking for children. The illustrated book presents critical thinking as a “superpower” that enables kids to unlock mysteries and dig for truth. (I also recommend Pakman’s second kids’ book called Think Like a Scientist .)

Rationality: What It Is, Why It Seems Scarce, Why It Matters , by Steven Pinker

The Harvard psychology professor Pinker tackles conspiracy theories head-on but also explores concepts involving risk/reward, probability and randomness, and correlation/causation. And if that strikes you as daunting, be assured that Pinker makes it lively and accessible.

How Minds Change: The Surprising Science of Belief, Opinion and Persuasion , by David McRaney

David is a science writer who hosts the popular podcast “You Are Not So Smart” (and his ideas are featured in A More Beautiful Question ). His well-written book looks at ways you can actually get through to people who see the world very differently than you (hint: bludgeoning them with facts definitely won’t work).

A Healthy Democracy's Best Hope: Building the Critical Thinking Habit , by M Neil Browne and Chelsea Kulhanek

Neil Browne, author of the seminal Asking the Right Questions: A Guide to Critical Thinking, has been a pioneer in presenting critical thinking as a question-based approach to making sense of the world around us. His newest book, co-authored with Chelsea Kulhanek, breaks down critical thinking into “11 explosive questions”—including the “priors question” (which challenges us to question assumptions), the “evidence question” (focusing on how to evaluate and weigh evidence), and the “humility question” (which reminds us that a critical thinker must be humble enough to consider the possibility of being wrong).

Warren Berger is a longtime journalist and author of A More Beautiful Question .

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Path Analysis: The Predictive Relationships of Problem-based Learning Processes on Preservice Teachers’ Learning Strategies

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Path Analysis is used to provide estimates of the magnitude and significance of hypothesized causal connections among sets of variables displayed using path diagrams. It is an extension of multiple regression analysis and holds strength as a methodology as it allows researchers to assess both direct and indirect effects of multiple independent variables on one or more dependent variables. In this paper, Path Analysis is used to examine the predictive relations of preservice teachers’ perception of key Problem-based Learning (PBL) processes and their learning strategies before and after their PBL experience. The sample involved in this study comprised of 1041 preservice teachers in the core Educational Psychology course using the PBL approach at a Teacher Education Institute in Singapore. The participants consisted of 333 males, 662 females, and 46 preservice teachers who did not indicate their gender. The mean age was 25.6 ( SD = 5.41). The Motivated Strategies for Learning Questionnaire (MSLQ) by Pintrich, Smith, Garcia, and Mckeachie (1993) was used to measure preservice teachers’ learning strategies. It consisted of five subscales namely, rehearsal, elaboration, organization, critical thinking and metacognitive self-regulation. The Problem-based Learning Process Inventory (PBLPI) by Chua (2016) was used to measure the key PBL processes namely problem-posing, scaffolding and connecting. Findings from the study suggested that in the PBL environment, (i) preservice teachers’ pre-PBL metacognitive self-regulation played a pivotal role in determining preservice teachers’ perceived importance of the key processes in enhancing their PBL experience; (ii) the key PBL scaffolding and connecting processes were salient predictors of preservice teachers’ subsequent post-PBL learning strategies; and (iii) the key PBL processes played a mediating role in relating preservice teachers’ pre-PBL learning strategies to their corresponding post-PBL factors. Implications for using path analysis for Problem-based Learning research will be discussed.

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Critical Thinking Will Be Necessary When Using AI

Artificial intelligence is gaining widespread adoption in the workplace, and critical thinking skills will be key to successfully using the technology to improve work and limit negative consequences.

AI is a powerful tool, but the results need to be questioned and verified by humans in your organization, said Justin Reinert, SHRM-SCP, a corporate trainer and principal of Performance Accelerated Learning, speaking April 15 at the SHRM Talent Conference & Expo 2024 (Talent 2024).  

“AI offers an opportunity and an imperative for enhanced critical thinking skills in the workplace as responsibilities for some will change from producers to verifiers,” he said.

Critical thinking is the practice of analysis to understand a problem or topic thoroughly. Critical thinking typically includes steps such as collecting information and data, asking thoughtful questions, and analyzing possible solutions.

This important skill is even more necessary in the age of AI, because the technology is still prone to negative outcomes, such as the potential for making up or “hallucinating” information, generating biased results and demonstrating gaps in reasoning.

Some recent noteworthy misses include:

• Attorneys who used generative AI (GenAI) to write motions and briefs that contained made-up case citations .
• The AI-powered chatbot created by the New York City government to help small-business owners providing inaccurate information .

“The use of AI in the workplace is fast growing and quickly evolving—an individual’s ability to discern fact from AI hallucination is increasingly challenging,” Reinert said. “Without deep critical thinking skills, we face a danger where falsehoods are being incorporated into our workplaces and consumer interactions. The educators in the corporate world will have the responsibility to develop this in your people.”

He added that there are two paths forward: a path of automation and a path of new capabilities for humans.

“Typically, as technology advances, we use technology to automate processes, make things faster and more efficient,” he said. “But as we appropriate AI into our work, there is another path to be mindful of. Identify the things that are uniquely human, and make sure you develop those skills in people, and then automate what can be automated. Ensure that humans stay front of mind.”

Of course, to effectively use, train and improve AI, those involved must have strong critical thinking skills themselves.

5 Critical Thinking Skills and How to Develop Them

Reinert listed the following critical thinking skills and what employers can do to help build these capabilities in their workforce:

1. Observation , or the ability to notice and predict opportunities, problems, and solutions. Organizations can practice scenario and risk planning, engaging teams with various possibilities, mindfulness training to improve concentration and focus, and competitive intelligence exercises.  

2. Analysis , or the gathering, understanding, and interpreting of data and other information. This can be practiced through data analysis training, data interpretation workshops and data reviews.

3. Inference , or drawing conclusions based on relevant data, information, and personal knowledge and experience. This skill can be developed through case study analyses related to specific work functions, critical reading and discussion assignments, and mind mapping exercises to identify connections in disparate information.

4. Communication , or the sharing and receiving of information with others verbally, nonverbally, and in writing. Organizations can practice this skill with role-playing scenarios, through public speaking opportunities, and by holding feedback sessions and peer reviews.

5. Problem-solving , or choosing and executing a solution after identifying and analyzing a problem. Problem-solving can be developed through root cause analysis drills to find the underlying causes of a problem; working through a decision-making matrix to evaluate potential solutions based on feasibility, impact and cost; and via simulation exercises that mimic real-world challenges.

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