Skip to main content

PERSPECTIVE article

Front. Educ., 02 December 2021
Sec. Educational Psychology
Volume 6 - 2021 | https://doi.org/10.3389/feduc.2021.712626

Translating Embodied Cognition for Embodied Learning in the Classroom

  • 1Department of STEM Education and Teacher Development, University of Massachusetts Dartmouth, Dartmouth, MA, United States
  • 2Department of Psychology, College of Arts and Sciences, University of Massachusetts Dartmouth, Dartmouth, MA, United States

In this perspective piece, we briefly review embodied cognition and embodied learning. We then present a translational research model based on this research to inform teachers, educational psychologists, and practitioners on the benefits of embodied cognition and embodied learning for classroom applications. While many teachers already employ the body in teaching, especially in early schooling, many teachers’ understandings of the science and benefits of sensorimotor engagement or embodied cognition across grades levels and the content areas is little understood. Here, we outline seven goals in our model and four major “action” steps. To address steps 1 and 2, we recap previously published reviews of the experimental evidence of embodied cognition (and embodied learning) research across multiple learning fields, with a focus on how both simple embodied learning activities—as well as those based on more sophisticated technologies of AR, VR, and mixed reality—are being vetted in the classroom. Step 3 of our model outlines how researchers, teachers, policy makers, and designers can work together to help translate this knowledge in support of these goals. In the final step (step 4), we extract generalized, practical embodied learning principles, which can be easily adopted by teachers in the classroom without extensive training. We end with a call for educators and policy makers to use these principles to identify learning objectives and outcomes, as well as track outcomes to assess whether program objectives and competency requirements are met.

Minding the (Brain) Gap

Currently, there is paradox in education: a focus on evidence-based research but an abandonment of the theories (Matsushita, 2017). For example, effective performance in clinical settings requires the integration between theory and practice. Yet there is a gap between theoretical knowledge as taught in the classroom and what K-12 students experience and learn (Hashemiparast et al., 2019). Furthermore, teachers’ action-based classroom research, while often promoting student achievement, is often absent of robust links to theory and is liable to neglect the application of a deductive, empirical framework. One reason for this dearth of informed practice is a lack of a framework for translating theory to practice, and in this instance, linking embodied cognition and embodied learning to effective teaching.

To promote informed research-based decisions in education, the No Child Left Behind Act (2002) mandated “scientifically based” research, which was replaced by Every Student Succeeds Act (2015) calling for “evidence-based” interventions. Still, few educators are privy to the research advances in the science of learning (Weinstein et al., 2018). Further, the limited awareness of recent theoretical and empirical evidence in cognitive science constrains the dissemination and adoption of research findings. There is a need for collaborative models that emphasize a bidirectional flow from researchers to practitioners (Nutley et al., 2009). Indeed, McKenney (2018) notes: “Although many studies in the learning sciences describe potential implications of policy or practice, few elaborate on how recommendations can be implemented” (p. 1).

Specifically, as Wilcox et al. (2021) point out there continues to be a significant “research to practice gap”. For example, Roediger (2013) writes:

We cannot point to a well-developed translational educational science in which research about learning and memory, thinking and reasoning, and related topics is moved from the lab into controlled field trials (like clinical trials in medicine) and the tested techniques … are introduced into broad educational practice. We are just not there yet … (p. 1).

Furthermore, one of the nation’s foremost education researchers and policy analysts, Linda Darling-Hammond, argues that the rapid pace of our knowledge of human development and learning has impacted the emerging consensus about the science of learning and increased our opportunities to shape more effective educational practices (Darling-Hammond et al., 2020). Yet, she adds, to take advantage of these advances requires integrating insights across multiple fields and connecting them to our knowledge of successful approaches.

In this perspective piece, we adapted a translational research model for the learning sciences to inform teachers, educational psychologists, and practitioners on benefits of Embodied Cognition (EC) and Embodied Learning (EL) applications for the classroom.

Translational Science: The Need for a Bridge

Translational science research emphasizes a need for appropriate professional development that fosters interdisciplinary approaches (Gilliland et al., 2017) for quickly turning biomedical findings from the laboratory, clinic, and community into interventions to improve the health of individuals and the public (NCATS-NIH, 2020). That said, to meet the challenges of collecting and disseminating the latest cognitive-science empirical research on learning, we adapted a model of translational science (Rubio et al., 2010). We call our model the Translational Learning Sciences Research for Embodied Cognition and Embodied Learning1. Our model leverages the empirical findings on EC from psychology and learning theory to provide an overarching theory for why embodied-based learning works. The call for translational research for the benefit of education is not new, although the term translational has only recently been applied in fields other than the natural sciences2. Here, we provide a framework for why these examples work and what generalized learning principles can be derived from these examples to impart educators with useful practice. Our model curates EC research across multiple learning fields (e.g., STEM, reading/language, social-emotional learning) while focusing on how researchers are beginning to implement both low-stakes embodied learning activities in the classroom and also those based on sophisticated technologies of AR, VR, and mixed reality (step 1 and 2 of our model). Our model then extracts generalized EL principles that can be easily used in the classroom as a starting point for researchers, teachers, policy makers, and designers to work together (step 3) to help translate and disseminate the latest research and create validated learning platforms and activities based on EC principles (step 4). The goal is to accelerate the process of transforming laboratory discoveries into new pedagogical approaches to improve learning outcomes. Before we discuss the details of our model, however, we present a quick history of EC and EL and why it matters to education.

Rethinking Thinking

Over the last forty years there has been a paradigm shift in Psychology, in which human thinking is now viewed as inseparably linked with the body and the environment (e.g., Varela et al., 1991; Wilson, 2002; Abrahamson, 2004; Hutto, 2007; Chemero, 2009; Fugate et al., 2018). Embodied views of thinking suggest that it is deeply dependent on features of the physical body of the learner, where the body plays a significant causal or constitutive role in cognitive processing (Kumar, et al., 2018; Wilson and Foglia, 2011). Such embodied views of cognition are based on bodily and neural processes of perception, action, and emotion (e.g., Hauk et al., 2004; James, 2010; Vinci-Booher and James, 2020, to name a few). For example, research also shows that simply observing another’s gestures and movements can activate the mirror neuron system in the learner’s brain to aid in learning through imitation (Rizzolatti et al., 1996). This finding has led to the suggestion that the mirror neuron system may be the mechanism for imitative EC (Rizzolatti et al., 1996; Iacoboni et al., 2005; Iacoboni, 2009).

We owe a great deal to developmental psychologists whose theoretical insights are affirmed by the latest neuroscientific evidence (e.g., Piaget and Cook, 1952; Piaget, 1968; Montessori, 1969; Vygotsky, 1978; Kolb, 1984; Dewey, 1989; Rogoff, 1990). Indeed, Vygotsky (1926/1997) wrote: “Thought is action … your capacity to enact the concept as perceptuomotor activity” (pp. 161–163). Philosophically, Merleau-Ponty (1962) posited that people perceive the world first and foremost through their bodies, a type of inter-corporeality which he referred to as “enfleshment.”

Although there are many theories of EC, all are united in their emphasis on the body and draw upon two common themes. First, the body and the world (environment) are integral to forming, integrating, and retrieving knowledge. To that end, knowledge is grounded or situated in the interactions between the individual and the environment. Grounding might occur when words or linguistic metaphors bind together individual, heterogenous instances underlying abstract concepts (Lakoff and Johnson, 1980; Mazzuca and Borghi, 2019)3. Second, knowledge is simulated: Thinking, or the use of knowledge, is re-experiencing the bodily states that were activated at the initial time of encoding, as experienced by a person’s individualized interactions with the world (Barsalou, 1999; Barsalou, 2008; Gallese, 2009).

Recently, EC has expanded its reach into “4E cognition”, which suggests people’s cognitive activity is not only embodied, but also “extended, enacted, and embedded” in the perceptual and interactive richness of their environment (see Gallagher in Rowlands, 2010). Abrahamson et al. (2021) advanced Enactivism (Varela et al., 1991) as a philosophical framework that captures “thinking as situated doing” for classroom learning. The emphasis is placed on studentsexperience as their source knowledge rather than on the teacher transmitting content (Petitmengin, 2007). For example, a learner and their surrounding environment constitute a system, in which the learner’s thoughts, actions, and metacognitive awareness/verbalizations (Flavell, 1979; Bernstein, 1996) may promote the discovery of new relations between their body and environment (Suwa, 2006).

Both Teaching and Learning Need to Be Re-examined

Our current educational delivery systems (i.e., teacher education, pedagogy, curriculum) and approaches can be traced back to “disembodied” views of human thinking. Specifically, much of teaching pedagogy/curriculum continue to view learning as abstracted and separate from the body (Macrine, 2002) and fails to understand the latest psychological and neuroscientific evidence from EC. Similarly, teacher training/pedagogy, while emphasizing constructivist’s approaches, tends to devolve-in-practice to positivist’s skills in preparation for standardized tests (Klein et al., 2019). According to Nathan (2012), teaching continues to focus on foundational knowledge or “formalism first”. Specifically, formalism first “incorrectly advocates the teaching/mastery of formalisms often considered prerequisite to applied knowledge” [that] “privileges formal, scientific knowledge over applied knowledge” (Nathan, 2012, p.126). Further, Nathan asserts that formalisms only gain their meaning with embodied experiences through real-world interaction and therefore the experiences are what ground formalisms, not the other way around. Similarly, Wertsch (1985) noted that a construct is shared when the action and affordances are experienced with the adult and contextualized in the real world.

Rethinking Learning

Derived from EC principles, EL constitutes a contemporary pedagogical theory that emphasizes the use of the body in educational practice, as well as student-teacher interaction both in and outside the classroom (Smyrnaiou and Sotiriou, 2016; Kosmas and Zaphiris, 2018; Georgiou and Ioannou, 2019). EL posits that a person’s own actions (and the observation of others’ actions) interact with environmental affordances, and together scaffold the process of learning.

While EC uses similar approaches to active learning, EL includes a variety of body-based techniques (i.e., gestures, imitations, simulations, sketching, and analogical mapping) (Alibali and Nathan, 2007; Weisberg and Newcombe, 2017) that hold promise for understanding the role of action and experience in early development, as well as to scaffold learning in more formal educational settings (Kontra et al., 2012). Following suit, embodied design is a pedagogical framework that “seeks to promote grounded learning by creating situations in which students can be guided to negotiate tacit and cultural perspectives on phenomena under inquiry” (Abrahamson, 2013, p. 224).

Our Model: Translational Learning Sciences Research for Embodied Cognition and Embodied Learning

In light of recent empirical demonstrations of how EC/EL works, our model of Translation Learning Sciences Research for Embodied Cognition and Embodied Learning has seven goals: 1) making sense of and disseminating clinical and empirical research findings; 2) closing the gap between research and application; 3) combining cognitive science and pedagogy to share pertinent information; 4) improving teaching and learning through embodied applications; 5) confirming or debunking current trends, (i.e., neuromyths); 6) elucidating conceptual frameworks for sensorimotor and body-based learning; and 7) recommending curriculum, designs, taxonomies, technology, and development to inform policy.

From these goals, we outline the following four action steps: 1) Promote the multidirectional and multidisciplinary integration of basic embodied research to elucidate or to debunk current trends in teaching and learning; 2) Compile the embodied research to be analyzed, translated, and make connections to improve pedagogical approaches, with the long-term aim of improving teaching and learning; 3) Develop and disseminate resources and tools to help individuals at all levels of expertise develop a better understanding of EL; 4) Focus on the creation of appropriate embodied curriculum and the development of taxonomies to identify objectives, and track outcomes that will assess whether program objectives and competency requirements are being met. We believe that our model can serve as an expeditious way to systematically collate, translate, and disseminate the latest embodied research geared towards improved learning outcomes. In other words, this is where science meets the real world of schooling.

In a larger research project, we have addressed steps 1 and 2 by carefully curating examples from leading experts to show how EC can be integrated into classroom practice (Macrine and Fugate, 2020). Such research examples are based on behavioral and neuroimaging experimentation in the fields of language and reading comprehension, STEM, and social-emotional knowledge. By way of a few noteworthy examples, Kiefer et al. (2015) found that young students who relied on physically writing (compared to typing) had improved word reading and word writing. James (2010) found that four-to-five year-old participants, who had practiced writing letters through handwriting (but not other ways), showed adult-like brain activation when subsequently viewing letters. Further, college students demonstrated better recall of handwritten notes vs. typed notes (Mangen et al., 2015). In addition, Glenberg and colleagues (Glenberg and Kaschak, 2002; Glenberg et al., 2008; Glenberg and Gallese, 2012) showed how vocabulary acquisition can be enhanced by shared communication and physical pantomime, both which allow for the grounding of information to concrete objects. In another example, Boaler and colleagues (Boaler et al., 2016) demonstrated how finger perception predicted learning math all the way through college, and that young children with good finger-based numerical representations showed better arithmetic skills. In addition, the panoply of motion-based technologies and interactive-user gaming platforms have allowed VR and AR designers to create technology-enabled EL experiences. Such technologies range from gesture-based to full-body interactive technologies, with the latter making up fewer options and focusing mainly on VR and AR technologies (Trninic and Abrahamson, 2012; Johnson-Glenberg, 2018; Georgiou and Ioannou, 2019).

Several of these researchers, and numerous others working within the field of learning design and practice, have turned such research findings into EL technologies for the classroom. As an example, the Moved by Reading approach uses simulation or “acting-out” in two stages to enhance reading (Glenberg et al., 2004). In the first stage, called physical manipulation, children manipulate toys to simulate the story that they are reading. The second stage is called imagined manipulation, where children are taught how to mentally simulate or imagine doing the actions. The authors found that physical and imagined manipulations contributed to larger gains in memory and comprehension than dis-embodied reading approaches. Gomez and Glenberg (2022) demonstrated the importance of pantomiming while reading new physics content. Abrahamson and colleagues designed multiple, successful embodied instruction design applications, called Mathematical Imagery Trainers (MITs). In one high technology-based project known as the Kinemathics project (Abrahamson et al., 2011), students move their arms in proportional distances to measurements of similar magnitude displayed on a screen. Using a trial-and-error approach, correct answers turn the screen green and incorrect ones turn it red, which reinforces the rules underlying the relationship (i.e., a 1:2 rule). And, in another specialized application, Abrahamson and Lindgren (2014) developed MEteor, an interactive MR simulation that uses a laser and floor-projected imagery. In this application, students use their bodies to simulate an orbit around a virtual planet to learn about formal concepts such as gravitational acceleration and mass.

Perhaps just as important is that many of these applications can be adapted to students with learning disabilities. Indeed, advances in EL have been utilized with students with ASD (De Jaegher, 2013; Eigsti, 2013; Eigsti, 2015), deaf students, and students with motor impairment (Kosmas et al., 2019; Tancredi et al., 2022).

In the remainder of this perspective, we focus on steps 3 and 4 of our model. Step 3 advocates for a coordinated effort - a type of interactive educational/cognitive-science consortium - among researchers, educational psychologists, teachers, school psychologists, policy makers, and textbook publishers to translate and disseminate/share the latest findings, applications, and implementation of the latest developments. These include bringing such issues to the attention of: 1) university-affiliated design-based research laboratories; 2) school personnel–primarily teachers but also technology experts and principals; 3) parents—as individuals and via various organized bodies–invested in school policy on infrastructure, resources, and pedagogy; 4) non-profit education-promoting groups, who are hampered neither by publication nor sales constraints; 5) commercial educational-technology companies with forward-thinking strategies; and 6) reporters, bloggers, etc. who cover the educational beat and can bring these issues to the attention of the wider public, including city, state, and federal policymakers. These many—and in rare occasions collaborations among them—could hasten the experimental application of cutting-edge research in the form of convivial instructional resources. For example, a national database of open-science materials and data could be coordinated to allow any teacher to use the materials and to contribute to “open science”, which has become popular already in psychology4.

To begin to address step 4, we have extracted the following key appropriate embodied principles (Table 1) for future practitioners, researchers, and teachers to guide the research-to-practice transition.

TABLE 1
www.frontiersin.org

TABLE 1. Key Principles for Translational Learning Sciences Research for Embodied Cognition and Embodied Learning.

The final step will be for educators and policy makers to use these principles to develop taxonomies of embodied curriculum, identify learning objectives and outcomes, and track outcomes to assess whether program objectives and competency requirements are met. Specifically, “in situ” assessments will be needed, as retrospective measures of learning (e.g., written tests, etc.) are at odds with the very nature of EL (Georgiou and Ioannou, 2019). As Roschelle et al. (2011) point out: “Meaningful educational change almost always involves coordinating and aligning related changes (e.g., in curriculum, technology use, pedagogy, assessment, and school leadership)” (p. 33).

Summary and Future Directions

Our Translational Learning Sciences Research for Embodied Cognition and Embodied Learning came about because there is a need for an expeditious pipeline to get the latest cognitive science and empirically validated educational applications out to the public. Our model provides a bi-directional conduit in which research findings and applications can flow quickly. We are advancing our model as a vehicle to continue to collate vetted examples of EL as they relate to EC theory. Our model is aimed at informing EL in an earnest way through a translational science approach5. We hope that it encourages cognitive science and educational researchers to offer and make their research available across the fields of educational psychology, educational policy, and teacher education to improve student outcomes and classroom pedagogy. We want to improve communication between scientists and practitioners and to avoid the occurrence of misconceptions, such as neuromyths to shape their pedagogies (Tan and Amiel, 2019). Our model was developed to reimagine how educators can access reliable research to inform their own pedagogy to create a more equitable and just schooling for all.

While we applied this new education-based translational research model to embodied cognition for teaching and learning, we believe that our model can also be used in different educational research contexts. Thus, this approach could provide a vehicle for the dissemination of theory-driven empirical findings translated into evidence-based classroom practice and enable bi-directional suggestions for future research, best practice, and theory development. Ultimately, the continued development of such pathways will lead to the advancement of—and efficient translation of—the latest cognitive science and educational psychology research findings for the educational community.

Author Contributions

SM and JF contributed to all aspects of the article including model development and writing, as well as approved the submitted version.

Funding

A Subvention Grant was awarded by the University of Massachusetts Dartmouth's Office of the Dean of the College of Arts & Sciences.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

Special thanks to Professor Dor Abrahamson for his advise on this paper.

Footnotes

1Steps adapted from the National Institutes of Health NCATS (2020) and Rubio et al. (2010).

2For example, in 2015 APA launched a new journal called Translational Issues in Psychological Science. In 2015, Kaslow identified “Translating Psychological Science for the Public” as one of her APA presidential initiatives, and appointed a task force to develop new strategies to communicate psychology to the public, with the idea that psychology can one day resemble the public’s knowledge of—and demand for—medical information.

3Other theories suggest that there is no grounding necessary because there are no mental representations (Gallagher, 2005; Hutto, 2005; Thompson, 2007; Chemero, 2009; Hutto and Myin, 2012; Hutto and Myin, 2017).

4see https://www.apa.org/science/about/psa/2019/02/open-science.

5Such a “translation” of psychology research to classroom-practice has, however, been done for research on metacognition (Flavell, 1979) (e.g. Tanner, 2012; Beach et al., 2020). Beach and colleagues have an entire manual on the role of metacognition in teaching and learning, highlighting four key findings that are similar in effect to our extracted teaching principles for embodied cognition.

References

Abrahamson, D. (2004). “Embodied Spatial Articulation: A Gesture Perspective on Student Negotiation between Kinesthetic Schemas and Epistemic Forms in Learning Mathematics,” in Proceedings of the Twenty Sixth Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education. Editors D. E. McDougall, and J. A. Ross (Windsor: Preney), 2, 791–797.

Google Scholar

Abrahamson, D. (2007). “Handling Problems: Embodied Reasoning in Situated Mathematics,” in Proceedings of the 29th Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education. Editors T. Lamberg, and L. Wiest (Lake Tahoe: University of Nevada), 219–226.

Google Scholar

Abrahamson, D. (2013). “Toward a Taxonomy of Design Genres: Fostering Mathematical Insight via Perception-Based and Action-Based Experiences,” in Proceedings of the 12th Annual Interaction Design and Children Conference (IDC 2013). Editors J. P. Hourcade, E. A. Miller, and A. Egeland (New York, NY: The New School & Sesame Workshop), 218–227.

Google Scholar

Abrahamson, D. (2014). Building Educational Activities for Understanding: An Elaboration on the Embodied-Design Framework and Its Epistemic Grounds. Int. J. Child-Computer Interaction 2 (1), 1–16. doi:10.1016/j.ijcci.2014.07.002

CrossRef Full Text | Google Scholar

Abrahamson, D. (2017). “Embodiment and Mathematics Learning,” in The SAGE Encyclopedia of Out-Of-School Learning. Editor K. Pepper (Thousand Oaks, CA: SAGE Publications, Inc.), 1, 248–252. doi:10.4135/9781483385198.n98

CrossRef Full Text | Google Scholar

Abrahamson, D. (2021). Grasp Actually: An Evolutionist Argument for Enactivist Mathematics Education. Hum. Dev. 1, 1–17. doi:10.1159/000515680

CrossRef Full Text | Google Scholar

Abrahamson, D., and Lindgren, R. (2014). “Embodiment and Embodied Design,” in The Cambridge Handbook of the Learning Sciences. Editor R. K. Sawyer. 2nd ed. (Cambridge, United Kingdom: Cambridge University Press), 358–376.

Google Scholar

Abrahamson, D., and Trninic, D. (2015). Working Out: Mathematics Learning as Motor Problem Solving in Instrumented Fields of Promoted Action. In Knowing and Learning in Interaction: A Synthetic Agenda for the Learning Sciences. Editors A. A. diSessa, M. Levin, and N. J. S. Brown. New York, NY: Routledge, 212–235.

Google Scholar

Abrahamson, D., Dutton, E., and Bakker, A. (2021). “Towards an Enactivist Mathematics Pedagogy,” in The Body, Embodiment, and Education: An Interdisciplinary Approach. Editor S. A. Stolz (New York: Routledge).

Google Scholar

Abrahamson, D., Flood, V. J., Miele, J. A., and Siu, Y.-T. (2019). Enactivism and Ethnomethodological Conversation Analysis as Tools for Expanding Universal Design for Learning: The Case of Visually Impaired Mathematics Students. ZDM Maths. Edu. 51 (2), 291–303. doi:10.1007/s11858-018-0998-1

CrossRef Full Text | Google Scholar

Abrahamson, D., Gutiérrez, J., Charoenying, T., Negrete, A., and Bumbacher, E. (2012). Fostering Hooks and Shifts: Tutorial Tactics for Guided Mathematical Discovery. Tech. Know Learn. 17 (1–2), 61–86. doi:10.1007/s10758-012-9192-7

CrossRef Full Text | Google Scholar

Abrahamson, D., Lee, R. G., Negrete, A. G., and Gutiérrez, J. F. (2014). Coordinating Visualizations of Polysemous Action: Values Added for Grounding Proportion. ZDM Maths. Edu. 46 (1), 79–93. doi:10.1007/s11858-013-0521-7

CrossRef Full Text | Google Scholar

Abrahamson, D., Nathan, M. J., Williams-Pierce, C., Walkington, C., Ottmar, E. R., Soto, H., and Alibali, M. W. (2020). The Future of Embodied Design for Mathematics Teaching and Learning. Front. Edu. (5), 147. doi:10.3389/feduc.2020.00147

CrossRef Full Text | Google Scholar

Abrahamson, D., Trninic, D., Gutiérrez, J. F., Huth, J., and Lee, R. G. (2011). Hooks and Shifts: A Dialectical Study of Mediated Discovery. Tech. Know Learn. 16 (1), 55–85. doi:10.1007/s10758-011-9177-y

CrossRef Full Text | Google Scholar

Alibali, M., and Nathan, M. J. (2007). “Teachers' Gestures as a Means of Scaffolding Students' Understanding: Evidence from an Early Algebra Lesson,” in Video Research in the Learning Sciences. Editors R. Goldman, R. Pea, B. Barron, and S. J. Derry (Mahwah, NJ: Lawrence Erlbaum), 349–366.

Google Scholar

Alibali, M. W., and Nathan, M. J. (2012). Embodiment in Mathematics Teaching and Learning: Evidence from Learners' and Teachers' Gestures. J. Learn. Sci. 21 (2), 247–286. doi:10.1080/10508406.2011.611446

CrossRef Full Text | Google Scholar

Alibali, M. W., Young, A. G., Crooks, N. M., Yeo, A., Wolfgram, M. S., Ledesma, I. M., Nathan, M. J., Breckinridge Church, R., and Knuth, E. J. (2013). Students Learn More when Their Teacher Has Learned to Gesture Effectively. Gest. 13 (2), 210–233. doi:10.1075/gest.13.2.05ali

CrossRef Full Text | Google Scholar

Aziz-Zadeh, L., and Gamez-Djokic, V. (2016). Comment: The Interaction Between Metaphor and Emotion Processing in the Brain. Emot. Rev. 8 (3), 275–276. doi:10.1177/1754073915595098

CrossRef Full Text | Google Scholar

Aziz-Zadeh, L., Kilroy, E., and Corcelli, G. (2018). Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model. Front. Hum. Neurosci. 12, 180. doi:10.3389/fnhum.2018.00180

PubMed Abstract | CrossRef Full Text | Google Scholar

Bara, F., and Gentaz, E. (2011). Haptics in Teaching Handwriting: The Role of Perceptual and Visuo-Motor Skills. Hum. Mov. Sci. 30 (4), 745–759. doi:10.1016/j.humov.2010.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Bara, F., Gentaz, E., Colé, P., and Sprenger-Charolles, L. (2004). The Visuo-Haptic and Haptic Exploration of Letters Increases the Kindergarten-Children's Understanding of the Alphabetic Principle. Cogn. Dev. 19 (3), 433–449. hal-00733557. doi:10.1016/j.cogdev.2004.05.003

CrossRef Full Text | Google Scholar

Barrett, L. F., Gross, J., Christensen, T. C., and Benvenuto, M. (2001). Knowing What You're Feeling and Knowing What To Do About It: Mapping the Relation Between Emotion Differentiation and Emotion Regulation. Cogn. Emot. 15 (6), 713–724. doi:10.1080/02699930143000239

CrossRef Full Text | Google Scholar

Barsalou, L. W. (1999). Perceptual Symbol Systems. Behav. Brain Sci. 22 (4), 577–609. doi:10.1017/S0140525X99002149

PubMed Abstract | CrossRef Full Text | Google Scholar

Barsalou, L. W. (2008). Grounded Cognition. Annu. Rev. Psychol. 59, 617–645. doi:10.1146/annurev.psych.59.103006.093639

PubMed Abstract | CrossRef Full Text | Google Scholar

Beach, P. T., Anderson, M. R. C., Jacovidis, J. N., and Chadwick, K. L. (2020). Making the Abstract Explicit: The Role of Metacognition in Teaching and Learning. Retrieved from: Available at: https://www.ibo.org/globalassets/publications/ib-research/policy/metacognition-policy-paper.pdf.

Google Scholar

Berkowicz, J., and Myers, A. (2018). Why Professional Development Fails. EdWeek, January 14, 2018. Retrieved from: Available at: https://www.edweek.org/teaching-learning/opinion-why-professional-development-fails/2018/01.

Google Scholar

Bernstein, N. A. (1996). “On Dexterity and Its Development,” in Dexterity and Its Development. Editors M. L. Latash, and M. T. Turvey (Hillsdale, NJ: Lawrence Erlbaum Associates).

Google Scholar

Berteletti, I., and Booth, J. R. (2015). Perceiving Fingers in Single-Digit Arithmetic Problems. Front. Psychol. 6, 226. doi:10.3389/fpsyg.2015.00226

PubMed Abstract | CrossRef Full Text | Google Scholar

Boaler, J. (2019). Limitless Mind: Learn, Lead, and Live without Barriers. Harper Collins.

Google Scholar

Boaler, J., Chen, L., Williams, C. M., and Cordero, M. (2016). Seeing as Understanding: The Importance of Visual Mathematics for Our Brain and Learning. J. Appl. Comput. Maths. 5, 1–6. doi:10.4172/2168-9679.10003210.4172/2168-9679.1000325

CrossRef Full Text | Google Scholar

Boaler, J., and Humphreys, C. (2005). Connecting Mathematical Ideas: Middle School Cases of Teaching & Learning. New York, NY: Heinemann.

Google Scholar

Boden, M. T., Thompson, R. J., Dizén, M., Berenbaum, H., and Baker, J. P. (2012). Are Emotional Clarity and Emotion Differentiation Related? Cogn. Emot. 27, 961–978. doi:10.1080/02699931.2012.751899

PubMed Abstract | CrossRef Full Text | Google Scholar

Butera, C., and Aziz-Zadeh, L. (2022). “Mirror Neurons and Social Implications for the Classroom,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Cameron, C. D., Payne, B. K., and Doris, J. M. (2013). Morality in High Definition: Emotion Differentiation Calibrates the Influence of Incidental Disgust on Moral Judgments. J. Exp. Soc. Psychol. 49 (4), 719–725. doi:10.1016/j.jesp.2013.02.014

CrossRef Full Text | Google Scholar

Caramazza, A., Anzellotti, S., Strnad, L., and Lingnau, A. (2014). Embodied Cognition and Mirror Neurons: A Critical Assessment. Annu. Rev. Neurosci. 37 (1), 1–15. doi:10.1146/annurev-neuro-071013-013950

PubMed Abstract | CrossRef Full Text | Google Scholar

Carbonneau, K. J., and Marley, S. C. (2015). Instructional Guidance and Realism of Manipulatives Influence Preschool Children's Mathematics Learning. J. Exp. Edu. 83 (4), 495–513. doi:10.1080/00220973.2014.989306

CrossRef Full Text | Google Scholar

Carbonneau, K. J., Marley, S. C., and Selig, J. P. (2013). A Meta-Analysis of the Efficacy of Teaching Mathematics With Concrete Manipulatives. J. Educ. Psychol. 105 (2), 380–400. doi:10.1037/a0031084

CrossRef Full Text | Google Scholar

Carsley, D., Khoury, B., and Heath, N. L. (2018). Effectiveness of Mindfulness Interventions for Mental Health in Schools: A Comprehensive Meta-Analysis. Mindfulness 9, 693–707. doi:10.1007/s12671-017-0839-2

CrossRef Full Text | Google Scholar

Caspers, S., Zilles, K., Laird, A. R., and Eickhoff, S. B. (2010). ALE Meta-Analysis of Action Observation and Imitation in the Human Brain. NeuroImage 50 (3), 1148–1167. doi:10.1016/j.neuroimage.2009.12.112

PubMed Abstract | CrossRef Full Text | Google Scholar

Chelule, C. G., Woods, D., and Nathan, M. J. (2019). Collaborative Gesture as a Case of Extended Mathematical Cognition. J. Math. Behav. 55, 100683. doi:10.1016/j.jmathb.2018.12.002

CrossRef Full Text | Google Scholar

Chemero, A. (2009). Radical Embodied Cognitive Science. Cambridge, MA: MIT Press. doi:10.1080/10888691.2018.1537791

CrossRef Full Text | Google Scholar

Chen, R. S. Y., Ninh, A., Yu, B., and Abrahamson, D. (2020). “Being in Touch With the Core of Social Interaction: Embodied Design for the Nonverbal,” in Proceedings of the 14th Annual Meeting of the International Society of the Learning Sciences, (ICLS 2020). Editors M. Gresalfi, and I. S. Horn (Nashville: ISLS), 1681–1684.

Google Scholar

Connor, C. M., Phillips, B. M., Kaschak, M., Apel, K., Kim, Y. S., Al Otaiba, S., Crowe, E. C., Thomas-Tate, S., Johnson, L. C., and Lonigan, C. J. (2014). Comprehension Tools for Teachers: Reading for Understanding From Prekindergarten Through Fourth Grade. Educ. Psychol. Rev. 26 (3), 379–401. doi:10.1007/s10648-014-9267-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., and Osher, D. (2020). Implications for Educational Practice of the Science of Learning and Development. Appl. Develop. Sci. 24 (2), 97–140. doi:10.1080/10888691.2018.1537791

CrossRef Full Text | Google Scholar

De Jaegher, H. (2013). Embodiment and Sense-Making in Autism. Front. Integr. Neurosci. 7 (5), 15. doi:10.3389/fnint.2013.00015

PubMed Abstract | CrossRef Full Text | Google Scholar

Delgado, P., Vargas, C., Ackerman, R., and Salmerón, L. (2018). Don't Throw Away Your Printed Books: A Meta-Analysis on the Effects of Reading Media on Reading Comprehension. Educ. Res. Rev. 25, 23–38. doi:10.1016/j.edurev.2018.09.003

CrossRef Full Text | Google Scholar

Dewey, J. (1989). The Later Works. La Salle: SIU Press, 16, 1925–1953.

Google Scholar

Donovan, A. M., and Alibali, M. W. (2021). Toys or Math Tools: Do Children's Views of Manipulatives Affect Their Learning? J. Cogn. Dev. 22 (2), 281–304. doi:10.1080/15248372.2021.1890602

CrossRef Full Text | Google Scholar

Donovan, A. M., and Alibali, M. (2022). “Manipulatives and Mathematics Learning: The Role of Perceptual and Interactive Features,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Donovan, A. M., Boncoddo, R., Williams, C. C., Walkington, C., Pier, E. L., and Alibali, M. W. (2014). “Action, Gesture and Abstraction in Mathematical Learning,” in Thematic Panel Presented at the Sixth Conference of the International Society for Gesture Studies, San Diego, CA. July.

Google Scholar

Dykstra Steinbrenner, J. R., and Watson, L. R. (2015). Student Engagement in the Classroom: The Impact of Classroom, Teacher, and Student Factors. J. Autism Dev. Disord. 45 (8), 2392–2410. doi:10.1007/s10803-015-2406-9

CrossRef Full Text | Google Scholar

Eigsti, I.–M. (2013). A Review of Embodiment in Autism Spectrum Disorders. Front. Psychol. 4, 224. doi:10.3389/fpsyg.2013.00224

PubMed Abstract | CrossRef Full Text | Google Scholar

Eigsti, I. M., Rosset, D., Col Cozzari, G., da Fonseca, D., and Deruelle, C. (2015). Effects of Motor Action on Affective Preferences in Autism Spectrum Disorders: Different Influences of Embodiment. Dev. Sci. 18 (6), 1044–1053. doi:10.1111/Desc.12278

PubMed Abstract | CrossRef Full Text | Google Scholar

Esopenko, C., Gould, L., Cummine, J., Sarty, G., Kuhlmann, N., and Borowsky, R. (2012). A Neuroanatomical Examination of Embodied Cognition: Semantic Generation to Action-Related Stimuli. Front. Hum. Neurosci. 6, 84. doi:10.3389/fnhum.2012.00084

PubMed Abstract | CrossRef Full Text | Google Scholar

Every Child Succeeds Act (ESSA), Public Law No. 114-95, S.1177, 114th Cong. (2015). Retrieved from: Available at: https://www.congress.gov/114/plaws/publ95/PLAW-114publ95.pdf.

Google Scholar

Ferrari, P. F., and Coudé, G. (2018). “Mirror Neurons, Embodied Emotions, and Empathy,” in Neuronal Correlates of Empathy: From Rodent to Human. Editors K. Z. Meyza, and E. Knapska (London, United Kingdom: Elsevier Academic Press), 67–77. doi:10.1016/B978-0-12-805397-3.00006-1

CrossRef Full Text | Google Scholar

Flanagan, J. R., and Johansson, R. S. (2003). Action Plans Used in Action Observation. Nature 424, 769–771. doi:10.1038/nature01861

PubMed Abstract | CrossRef Full Text | Google Scholar

Flavell, J. H. (1979). Metacognition and Cognitive Monitoring: A New Area of Cognitive-Developmental Inquiry. Am. Psychol. 34 (10), 906–911. doi:10.1037/0003-066X.34.10.906

CrossRef Full Text | Google Scholar

Flood, V. J., (2018). Multimodal Revoicing as an Interactional Mechanism for Connecting Scientific and Everyday Concepts. Hum. Dev., 61 (3), 145–173.‬‬ doi:10.1159/000488693‬‬‬‬‬‬‬‬‬‬

CrossRef Full Text | Google Scholar

Flood, V. J., Shvarts, A., and Abrahamson, D. (2020). Teaching with Embodied Learning Technologies for Mathematics: Responsive Teaching for Embodied Learning. ZDM Maths. Edu. 52 (7), 1307–1331. doi:10.1007/s11858-020-01165-7

CrossRef Full Text | Google Scholar

Flood, V., Shvarts, A., and Abrahamson, D. (2022). “Responsive Teaching for Embodied Learning with Technology,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Fugate, J. M. B., Macrine, S. L., and Cipriano, C. (2018). The Role of Embodied Cognition for Transforming Learning. Int. J. Sch. Educ. Psychol. 7 (4), 274–288. doi:10.1080/21683603.2018.1443856

CrossRef Full Text | Google Scholar

Fugate, J. M. B., and Wilson-Mendenhall, C. (2022). “Embodied Emotion, Emotional Granularity, and Mindfulness: Improved Learning in the Classroom,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Gallagher, S. (2005). Dynamic Models of Body Schematic Processes. Adv. Conscious. Res. 62, 233–250. doi:10.1075/aicr.62.15gal

CrossRef Full Text | Google Scholar

Gallese, V. (2009). Mirror Neurons, Embodied Simulation, and the Neural Basis of Social Identification. Psychoanalytic Dialogues 19 (5), 519–536. doi:10.1080/10481880903231910

CrossRef Full Text | Google Scholar

Gaver, W. W. (1991). “Technology Affordances,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Editors S. P. Robertson, G. M. Olson, and J. S. Olson (New York, NY: ACM Press), 79–84. doi:10.1145/108844.108856

CrossRef Full Text | Google Scholar

Georgiou, Y., and Ioannou, A. (2019). Teachers’ Concerns About Adopting Technology-Enhanced Embodied Learning and Their Mitigation through Professional Development. J. Tech. Teach. Edu. 27 (3), 335–371.

Google Scholar

Gerofsky, S. (2011). “Chapter 18. Seeing the Graph vs. Being the Graph,” in Integrating Gestures. Editors G. Stam, and M. Ishino (Philadelphia, PA: John Benjamins), 245–256. doi:10.1075/gs.4.22ger

CrossRef Full Text | Google Scholar

Gibson, J. J. (1979). The Ecological Approach to Visual Perception. Houghton Mifflin.

Google Scholar

Giles, O. T., Shire, K. A., Hill, L. J. B., Mushtaq, F., Waterman, A., Holt, R. J., Williams, J. H. G., Wilkie, R. M., and Mon-Williams, M. (2018). Hitting the Target: Mathematical Attainment in Children Is Related to Interceptive-Timing Ability. Psychol. Sci. 29 (8), 1334–1345. doi:10.1177/0956797618772502

PubMed Abstract | CrossRef Full Text | Google Scholar

Gilliland, C. T., Sittampalam, G. S., Wang, P. Y., and Ryan, P. E. (2017). The Translational Science Training Program at NIH: Introducing Early Career Researchers to the Science and Operation of Translation of Basic Research to Medical Interventions. Biochem. Mol. Biol. Educ. 45 (1), 13–24. doi:10.1002/bmb.20978

PubMed Abstract | CrossRef Full Text | Google Scholar

Glenberg, A. M. (2008). “Toward the Integration of Bodily States, Language, and Action,” in Embodied Grounding: Social, Cognitive, Affective, and Neuroscientific Approaches. Editors G. R. Semin, and E. R. Smith (Cambridge, United Kingdom: Cambridge University Press), 43–70. doi:10.1017/CBO9780511805837.003

CrossRef Full Text | Google Scholar

Glenberg, A. M. (2011). How Reading Comprehension Is Embodied and Why That Matters. Int. Electron. J. Elem. Edu. 4 (1), 5–18.

Google Scholar

Glenberg, A. M., and Gallese, V. (2012). Action-Based Language: A Theory of Language Acquisition, Comprehension, and Production. Cortex 48 (7), 905–922. doi:10.1016/j.cortex.2011.04.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Glenberg, A. M., and Kaschak, M. P. (2002). Grounding Language in Action. Psychon. Bull. Rev. 9 (3), 558–565. doi:10.3758/bf03196313

PubMed Abstract | CrossRef Full Text | Google Scholar

Glenberg, A. M., Becker, R., Klötzer, S., Kolanko, L., Müller, S., and Rinck, M. (2009). Episodic Affordances Contribute to Language Comprehension. Lang. Cogn. 1 (1), 113–135. doi:10.1515/langcog.2009.006

CrossRef Full Text | Google Scholar

Glenberg, A. M., Goldberg, A. B., and Zhu, X. (2011). Improving Early Reading Comprehension Using Embodied CAI. Instr. Sci. 39, 27–39. doi:10.1007/s11251-009-9096-7

CrossRef Full Text | Google Scholar

Glenberg, A. M., Gutierrez, T., Levin, J. R., Japuntich, S., and Kaschak, M. P. (2004). Activity and Imagined Activity Can Enhance Young Children's Reading Comprehension. J. Educ. Psychol. 96, 424–436. doi:10.1037/0022-0663.96.3.424

CrossRef Full Text | Google Scholar

Glenberg, A. M., Jaworski, B., Rischal, M., and Levin, J. (2007). “What Brains Are for: Action, Meaning, and Reading Comprehension,” in Reading Comprehension Strategies: Theories, Interventions, and Technologies. Editor D. S. McNamara (Mahwah, NJ: Lawrence Erlbaum Associates Publishers), 221–240.

Google Scholar

Gomez, L. E., and Glenberg, A. (2022). “Embodied Classroom Activities for Vocabulary Acquisition,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Gracia-Bafalluy, M., and Noël, M. P. (2008). Does Finger Training Increase Young Children's Numerical Performance? Cortex 44 (4), 368–375. doi:10.1016/j.cortex.2007.08.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Gredebäck, G., and Falck-Ytter, T. (2015). Eye Movements During Action Observation. Perspect. Psychol. Sci. 10 (5), 591–598. doi:10.1177/1745691615589103

PubMed Abstract | CrossRef Full Text | Google Scholar

Grynszpan, O., Martin, J. C., and Fossati, P. (2017). Gaze Leading Is Associated With Liking. Acta Psychol. (Amst) 173, 66–72. doi:10.1016/j.actpsy.2016.12.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Gulamhussein, A. (2013). Teaching the Teachers: Effective Professional Development in the Era of High Stakes Accountability. Columbus, OH: National School Board Association, Center for Public Education. Available at: http://conference.ohioschoolboards.org/2017/wp-%20content/uploads/sites/17/2016/07/1pm111317A114Job-embedPD.pdf.

Google Scholar

Hall, R., and Nemirovsky, R. (2012). Introduction to the Special Issue: Modalities of Body Engagement in Mathematical Activity and Learning. J. Learn. Sci. 21 (2), 207–215. doi:10.1080/10508406.2011.611447

CrossRef Full Text | Google Scholar

Harrison, L. A., Kats, A., Williams, M. E., and Aziz-Zadeh, L. (2019). The Importance of Sensory Processing in Mental Health: A Proposed Addition to the Research Domain Criteria (RDoC) and Suggestions for RDoC 2.0. Front. Psychol. 10, 103. doi:10.3389/fpsyg.2019.00103

PubMed Abstract | CrossRef Full Text | Google Scholar

Hashemiparast, M., Negarandeh, R., and Theofanidis, D. (2019). Exploring the Barriers of Utilizing Theoretical Knowledge in Clinical Settings: A Qualitative Study. Int. J. Nurs. Sci. 6, 399–405. doi:10.1016/j.ijnss.2019.09.008

CrossRef Full Text | Google Scholar

Hauk, O., Johnsrude, I., and Pulvermüller, F. (2004). Somatotopic Representation of Action Words in Human Motor and Premotor Cortex. Neuron. 41 (2), 301–307. doi:10.1016/S0896-6273(03)00838-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, C. L., and Updegraff, J. A. (2012). Mindfulness and Its Relationship to Emotional Regulation. Emotion 12 (1), 81–90. doi:10.1037/a0026355

PubMed Abstract | CrossRef Full Text | Google Scholar

Horvath, J. C., Donoghue, G. M., Horton, A. J., Lodge, J. M., and Hattie, J. A. C. (2018). On the Irrelevance of Neuromyths to Teacher Effectiveness: Comparing Neuro-Literacy Levels Amongst Award-Winning and Non-Award Winning Teachers. Front. Psychol. 9, 1666. doi:10.3389/fpsyg.2018.01666

PubMed Abstract | CrossRef Full Text | Google Scholar

Hostetter, A. B., and Alibali, M. W. (2019). Gesture as Simulated Action: Revisiting the Framework. Psychon. Bull. Rev. 26 (3), 721–752. doi:10.3758/s13423-018-1548-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Hutto, D. D. (2005). Knowing What? Radical Versus Conservative Enactivism. Phenom. Cogn. Sci. 4 (4), 389–405. doi:10.1007/978-1-4020-5558-4_710.1007/s11097-005-9001-z

CrossRef Full Text | Google Scholar

Hutto, D. D. (2007). “Folk Psychology Without Theory or Simulation,” in Folk Psychology Re-Assessed. Editors D. D. Hutto, and M. Ratcliffe (Dordrecht: Springer), 115–135.

Google Scholar

Hutto, D. D., Kirchhoff, M. D., and Abrahamson, D. (2015). The Enactive Roots of STEM: Rethinking Educational Design in Mathematics. Educ. Psychol. Rev. 27 (3), 371–389. doi:10.1007/s10648-015-9326-2

CrossRef Full Text | Google Scholar

Hutto, D. D., and Myin, E. (2012). Radicalizing Enactivism: Basic Minds Without Content. Cambridge, MA: MIT Press.

Google Scholar

Hutto, D. D., and Myin, E. (2017). Evolving Enactivism: Basic Minds Meet Content. Cambridge, MA: MIT Press.

Google Scholar

Iacoboni, M. (2009). Imitation, Empathy, and Mirror Neurons. Annu. Rev. Psychol. 60, 653–670. doi:10.1146/annurev.psych.60.110707.163604 PMID: 18793090

PubMed Abstract | CrossRef Full Text | Google Scholar

Iacoboni, M., Molnar-Szakacs, I., Gallese, V., Buccino, G., Mazziotta, J. C., and Rizzolatti, G. (2005). Grasping the Intentions of Others With One's Own Mirror Neuron System. Plos Biol. 3, e79. doi:10.1371/journal.pbio.0030079

PubMed Abstract | CrossRef Full Text | Google Scholar

Immordino‐Yang, M. H., and Damasio, A. (2007). We Feel, Therefore We Learn: The Relevance of Affective and Social Neuroscience to Education. Mind, Brain Edu. 1 (1), 3–10.

Google Scholar

Jagers, R. J., Rivas-Drake, D., and Williams, B. (2019). Transformative Social and Emotional Learning (SEL): Toward SEL in Service of Educational Equity and Excellence. Educ. Psychol. 54 (3), 162–184. doi:10.1080/00461520.2019.1623032

CrossRef Full Text | Google Scholar

James, K. H. (2010). Sensori-Motor Experience Leads to Changes in Visual Processing in the Developing Brain. Dev. Sci. 13 (2), 279–288. doi:10.1111/j.1467-7687.2009.00883.x

PubMed Abstract | CrossRef Full Text | Google Scholar

James, K. H. (2017). The Importance of Handwriting Experience on the Development of the Literate Brain. Curr. Dir. Psychol. Sci. 26 (6), 502–508. doi:10.1177/0963721417709821

CrossRef Full Text | Google Scholar

James, K. H. (2022). “The Embodiment of Letter Perception: The Importance of Handwriting in Early Childhood,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

James, K. H., and Engelhardt, L. (2012). The Effects of Handwriting Experience on Functional Brain Development in Pre-Literate Children. Trends Neurosci. Educ. 1 (1), 32–42. doi:10.1016/j.tine.2012.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson-Glenberg, M. C. (2018). Immersive VR and Education: Embodied Design Principles That Include Gesture and Hand Controls. Front. Robot. AI. doi:10.3389/frobt.2018.00081

CrossRef Full Text | Google Scholar

Johnson-Glenberg, M. C. (2022). “Evaluating Embodied Immersive STEM VR Using the Quality of Education in Virtual Reality Rubric (QUIVRR),” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Johnson-Glenberg, M. C., and Megowan-Romanowicz, C. (2017). Embodied Science and Mixed Reality: How Gesture and Motion Capture Affect Physics Education. Cogn. Res. Princ. Implic. 2 (24), s41235. doi:10.1186/s41235-017-0060-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson-Glenberg, M. C., Megowan-Romanowicz, C., Birchfield, D. A., and Savio-Ramos, C. (2016). Effects of Embodied Learning and Digital Platform on the Retention of Physics Content: Centripetal Force. Front. Psychol. 7, 1819. 2016. Article. doi:10.3389/fpsyg.2016.018197

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamii, C., Lewis, B. A., and Kirkland, L. (2001). Manipulatives: When Are They Useful?. J. Math. Behav. 20 (1), 21–31. doi:10.1016/S0732-3123(01)00059-1

CrossRef Full Text | Google Scholar

Kaschak, M. P., Connor, C. M., and Dombek, J. L. (2017). Enacted Reading Comprehension: Using Bodily Movement to Aid the Comprehension of Abstract Text Content. PLoS One 12, e0169711. doi:10.1371/journal.pone.0169711

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaschak, M. P., Madden, C. J., Therriault, D. J., Yaxley, R. H., Aveyard, M., Blanchard, A. A., and Zwaan, R. A. (2005). Perception of Motion Affects Language Processing. Cognition 94, B79–B89. doi:10.1016/j.cognition.2004.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaslow, N. J. (2015). Translating Psychological Science to the Public. Am. Psychol. 70 (5), 361–371. doi:10.1037/a0039448

CrossRef Full Text | Google Scholar

Kelton, M. L., and Ma, J. Y. (2018). Reconfiguring Mathematical Settings and Activity Through Multi-Party, Whole-Body Collaboration. Educ. Stud. Math. 98 (2), 177–196. doi:10.1007/s10649-018-9805-8

CrossRef Full Text | Google Scholar

Kelton, M. L., and Ma, J. Y. (2020). Assembling a Torus: Family Mobilities in an Immersive Mathematics Exhibition. Cogn. Instruction 38, 318–347. doi:10.1080/07370008.2020.1725013

CrossRef Full Text | Google Scholar

Keysers, C., Paracampo, R., and Gazzola, V. (2018). What Neuromodulation and Lesion Studies Tell Us About the Function of the Mirror Neuron System and Embodied Cognition. Curr. Opin. Psychol. 24, 35–40. doi:10.1016/j.copsyc.2018.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Kiefer, M., Schuler, S., Mayer, C., Trumpp, N. M., Hille, K., and Sachse, S. (2015). Handwriting or Typewriting? The Influence of Pen- or Keyboard-Based Writing Training on Reading and Writing Performance in Preschool Children. Adv. Cogn. Psychol. 11, 136–146. doi:10.5709/acp-0178-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Kilroy, E., Cermak, S. A., and Aziz-Zadeh, L. (2019). A Review of Functional and Structural Neurobiology of the Action Observation Network in Autism Spectrum Disorder and Developmental Coordination Disorder. Brain Sci. 9 (4), E75. doi:10.3390/brainsci9040075

PubMed Abstract | CrossRef Full Text | Google Scholar

Klein, C., Lester, J., Rangwala, H., and Johri, A. (2019). Technological Barriers and Incentives to Learning Analytics Adoption in Higher Education: Insights From Users. J. Comput. High Educ. 31 (3), 604–625. doi:10.1007/s12528-019-09210-5

CrossRef Full Text | Google Scholar

Kolb, D. A. (1984). Experiential Learning: Experience as the Source of Learning and Development. New Jersey: Prentice-Hall.

Google Scholar

Kontra, C., Goldin-Meadow, S., and Beilock, S. L. (2012). Embodied Learning Across the Life Span. Top. Cogn. Sci. 4 (4), 731–739. doi:10.1111/j.1756-8765.2012.01221.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kontra, C., Lyons, D. J., Fischer, S. M., and Beilock, S. L. (2015). Physical Experience Enhances Science Learning. Psychol. Sci. 26 (6), 737–749. doi:10.1177/0956797615569355

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosmas, P., and Zaphiris, P. (2018). Embodied Cognition and Its Implications in Education: An Overview of Recent Literature. World Acad. Sci. Eng. Tech. 12, 930–936. doi:10.1999/1307-6892/10009334

CrossRef Full Text | Google Scholar

Kosmas, P., Ioannou, A., and Zaphiris, P. (2019). Implementing Embodied Learning in the Classroom: Effects on Children's Memory and Language Skills. Educ. Media Int. 56 (1), 59–74. doi:10.1080/09523987.2018.1547948

CrossRef Full Text | Google Scholar

Krause, C. (2017). DeafMath: Exploring the Influence of Sign Language on Mathematical Conceptualization, 10. Dublin, Ireland: CERME.

Google Scholar

Kumar, S., Tran, J., Moseson, H., Tai, C., Glenn, J. M., Madero, E. N., Krebs, C., Bott, N., and Juusola, J. L. (2018). The Impact of the Virtual Cognitive Health Program on the Cognition and Mental Health of Older Adults: Pre-Post 12-Month Pilot Study. JMIR Aging 1 (2), e12031. doi:10.2196/12031

PubMed Abstract | CrossRef Full Text | Google Scholar

Ladda, A. M., Pfannmoeller, J. P., Kalisch, T., Roschka, S., Platz, T., Dinse, H. R., and Lotze, M. (2014). Effects of Combining 2 Weeks of Passive Sensory Stimulation With Active Hand Motor Training in Healthy Adults. PLoS ONE 9, e84402. doi:10.1371/journal.pone.0084402

PubMed Abstract | CrossRef Full Text | Google Scholar

Lakoff, G., and Johnson, M. (1980). Conceptual Metaphor in Everyday Language. J. Philos. 77 (8), 453–486. doi:10.2307/2025464

CrossRef Full Text | Google Scholar

Lauer, J. E., and Lourenco, S. F. (2016). Spatial Processing in Infancy Predicts Both Spatial and Mathematical Aptitude in Childhood. Psychol. Sci. 27 (10), 1291–1298. doi:10.1177/0956797616655977

PubMed Abstract | CrossRef Full Text | Google Scholar

Lindgren, R., and Johnson-Glenberg, M. (2013). Emboldened by Embodiment. Educ. Res. 42 (8), 445–452. doi:10.3102/0013189X13511661

CrossRef Full Text | Google Scholar

Lindgren, R., Tscholl, M., Wang, S., and Johnson, E. (2016). Enhancing Learning and Engagement through Embodied Interaction Within a Mixed Reality Simulation. Comput. Edu. 95, 174–187. doi:10.1016/j.compedu.2016.01.001

CrossRef Full Text | Google Scholar

Longcamp, M., Anton, J. L., Roth, M., and Velay, J. L. (2003). Visual Presentation of Single Letters Activates a Premotor Area Involved in Writing. Neuroimage 19 (4), 1492–1500. doi:10.1016/S1053-8119(03)00088-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Longcamp, M., Boucard, C., Gilhodes, J. C., Anton, J. L., Roth, M., Nazarian, B., and Velay, J. L. (2008). Learning Through Hand- or Typewriting Influences Visual Recognition of New Graphic Shapes: Behavioral and Functional Imaging Evidence. J. Cogn. Neurosci. 20 (5), 802–815. doi:10.1162/jocn.2008.20504

CrossRef Full Text | Google Scholar

Longcamp, M., Zerbato-Poudou, M. T., and Velay, J. L. (2005). The Influence of Writing Practice on Letter Recognition in Preschool Children: A Comparison Between Handwriting and Typing. Acta Psychol. (Amst) 119 (1), 67–79. doi:10.1016/j.actpsy.2004.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, J. Y. (2017). Multi-Party, Whole-Body Interactions in Mathematical Activity. Cogn. Instruction 35 (2), 141–164. doi:10.1080/07370008.2017.1282485

CrossRef Full Text | Google Scholar

Macrine, S. L. (2002). Pedagogical Bondage: Body Bound and Gagged in a Technorational World. Body Movements: Pedagogy, Polit. Soc. Change, 133–145.

Google Scholar

Macrine, S. L., and Fugate, J. M. B. (2020). “Embodied Cognition,” in Oxford Research Encyclopedia of Education (Oxford, United Kingdom: Oxford University Press). doi:10.1093/acrefore/9780190264093.013.885

CrossRef Full Text | Google Scholar

Macrine, S. L., and Fugate, J. M. B. (2022). Movement Matters: How Embodied Cognition Informs Teaching and Learning. Cambridge, MA: MIT Press.

Google Scholar

Mangen, A. (2008). Hypertext Fiction Reading: Haptics and Immersion. J. Res. Reading 31 (4), 404–419. doi:10.1111/j.1467-9817.2008.00380.x

CrossRef Full Text | Google Scholar

Mangen, A., and Balsvik, L. (2016). Pen or Keyboard in Beginning Writing Instruction? Some Perspectives From Embodied Cognition. Trends Neurosci. Edu. 5 (3), 99–106. doi:10.1016/j.tine.2016.06.003

CrossRef Full Text | Google Scholar

Mangen, A., and Velay, J.-L. (2010). “Digitizing Literacy: Reflections on the Haptics of Writing,” in Advances in Haptics. Editor M. H. Zadeh, 385–402. IN-TECH web. doi:10.5772/8710

CrossRef Full Text | Google Scholar

Mangen, A., Anda, L. G., Oxborough, G. H., and Brønnick, K. (2015). Handwriting Versus Keyboard Writing: Effect on Word Recall. J. Writing Res. 7 (2), 227–247. doi:10.17239/jowr-2015.07.02.1

CrossRef Full Text | Google Scholar

Mangen, A., Olivier, G., and Velay, J. L. (2019). Comparing Comprehension of a Long Text Read in Print Book and on Kindle: Where in the Text and When in the Story? Front. Psychol. 10, 38. doi:10.3389/fpsyg.2019.00038

PubMed Abstract | CrossRef Full Text | Google Scholar

Mangen, A., Walgermo, B. R., and Brønnick, K. (2013). Reading Linear Texts on Paper Versus Computer Screen: Effects on Reading Comprehension. Int. J. Educ. Res. 58, 61–68. doi:10.1016/j.ijer.2012.12.002

CrossRef Full Text | Google Scholar

Marley, S. C., Levin, J. R., and Glenberg, A. M. (2007). Improving Native American Children's Listening Comprehension Through Concrete Representations. Contemp. Educ. Psychol. 32, 537–550. doi:10.1016/j.cedpsych.2007.03.003

CrossRef Full Text | Google Scholar

Matsushita, R. (2017). The Paradox of Evidence-Based Education: From the Decline of Education to Abandonment of the Theories of Education. Esj 11, 101–119. doi:10.7571/esjkyoiku.11.101

CrossRef Full Text | Google Scholar

Mayer, C., Wallner, S., Budde-Spengler, N., Braunert, S., Arndt, P. A., and Kiefer, M. (2020). Literacy Training of Kindergarten Children With Pencil, Keyboard or Tablet Stylus: The Influence of the Writing Tool on Reading and Writing Performance at the Letter and Word Level. Front. Psychol. 10, 3054. doi:10.3389/fpsyg.2019.03054

PubMed Abstract | CrossRef Full Text | Google Scholar

Mazzuca, C., and Borghi, A. M. (2019). “Chapter 2. Abstract Concepts and the Activation of Mouth-Hand Effectors,” in Human Cognitive Processing 65: Perspectives on Abstract Concepts: Cognition Language and Communication. Editors M. Bolognesi, and G. Steen (Amsterdam, Netherlands: John Benjamins), 43–57. doi:10.1075/hcp.65.03maz

CrossRef Full Text | Google Scholar

McKenney, S. (2018). How Can the Learning Sciences (Better) Impact Policy and Practice?. J. Learn. Sci. 27 (1), 1–7. doi:10.1080/10508406.2017.1404404

CrossRef Full Text | Google Scholar

Mechsner, F., Kerzel, D., Knoblich, G., and Prinz, W. (2001). Perceptual Basis of Bimanual Coordination. Nature 414 (6859), 69–73. doi:10.1038/35102060

PubMed Abstract | CrossRef Full Text | Google Scholar

Megowan-Romanowicz, C. (2022). “Physics and Gesture: Spatial Thinking and Mutual Manifestness,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Merleau-Ponty, M. (1962). Phenomenology of Perception [Phénoménologie de la Perception]. New York: Humanities Press.

Google Scholar

Montessori, M. M. (1969). The Four Planes of Development. AMI Commun. (2/3), 4–10.

Google Scholar

Moyer, P. S. (2001). Are We Having Fun Yet? How Teachers Use Manipulatives to Teach Mathematics. Educ. Stud. Maths. 47 (2), 175–197. doi:10.1023/a:1014596316942

CrossRef Full Text | Google Scholar

Mueller, P. A., and Oppenheimer, D. M. (2014). The Pen Is Mightier Than the Keyboard: Advantages of Longhand Over Laptop Note Taking. Psychol. Sci. 25 (6), 1159–1168. doi:10.1177/0956797614524581

PubMed Abstract | CrossRef Full Text | Google Scholar

Naka, M. (1998). Repeated Writing Facilitates Children's Memory for Pseudocharacters and Foreign Letters. Mem. Cognit. 26 (4), 804–809. doi:10.3758/bf03211399

PubMed Abstract | CrossRef Full Text | Google Scholar

Nathan, M. J. (2012). Rethinking Formalisms in Formal Education. Educ. Psychol. 47 (2), 125–148. doi:10.1080/00461520.2012.667063

CrossRef Full Text | Google Scholar

Nathan, M. J., Schenck, K. E., Vinsonhaler, R., Michaelis, J. E., Swart, M. I., and Walkington, C. (2020). Embodied Geometric Reasoning: Dynamic Gestures During Intuition, Insight, and Proof. J. Educ. Psychol. 113, 929–948. doi:10.1037/edu0000638

CrossRef Full Text | Google Scholar

Nathan, M. J., Walkington, C., Boncoddo, R., Pier, E., Williams, C. C., and Alibali, M. W. (2014). Actions Speak Louder With Words: the Roles of Action and Pedagogical Language for Grounding Mathematical Proof. Learn. Instruction 33, 182–193. doi:10.1016/j.learninstruc.2014.07.001

CrossRef Full Text | Google Scholar

Nathan, M. J., Yeo, A., Boncoddo, R., Hostetter, A. B., and Alibali, M. W. (2019). Teachers' Attitudes About Gesture for Learning and Instruction. Gest. 18 (1), 31–56. doi:10.1075/gest.00032.nat

CrossRef Full Text | Google Scholar

NCATS-NIH, (2020). National Center for Advancing Translational Sciences. Available at: https://ncats.nih.gov/

Google Scholar

NIH (2020). Translational Science Spectrum. Available at: https://ncats.nih.gov/translation/spectrum.

Google Scholar

No Child Left Behind Act of 2001 (2002). P.L. U.S.C. 20, 107–110. § 6319.

Google Scholar

Nutley, S., Walter, I., and Davies, H. T. O. (2009). Promoting Evidence-Based Practice. Res. Soc. Work Pract. 19 (5), 552–559. doi:10.1177/1049731509335496

CrossRef Full Text | Google Scholar

O'Conner, R., De Feyter, J., Carr, A., Luo, J. L., and Romm, H. (2017). A Review of the Literature on Social and Emotional Learning for Students Ages 3-8: Characteristics of Effective Social and Emotional Learning Programs (Part 1 of 4). REL 2017-245. Regional Educational Laboratory Mid-Atlantic. Retrieved from: Available at: https://ies.ed.gov/ncee/edlabs/projects/project.asp?projectID=443.

Google Scholar

Paige, D. D., Smith, G. S., and Magpuri-Lavell, T. (2019). Learning to Improve: Report of a Three-Year Capacity-Building Project Leveraging Professional Development + Coaching to Improve Third-Grade Reading Outcomes. Als 07, 193–223. doi:10.4236/als.2019.74013

CrossRef Full Text | Google Scholar

Penner-Wilger, M., and Anderson, M. L. (2013). The Relation Between Finger Gnosis and Mathematical Ability: Why Redeployment of Neural Circuits Best Explains the Finding. Front. Psychol. 4, 877. doi:10.3389/fpsyg.2013.00877

PubMed Abstract | CrossRef Full Text | Google Scholar

Penner-Wilger, M., Fast, L., LeFevre, J., Smith-Chant, B. L., Skwarchuk, S., Kamawar, D., et al. (2009). “Subitizing, Finger Gnosis, and the Representation of Number,” in Proceedings of the 31st Annual Cognitive Science Society (520–525). Editors N. Taatgen, H. V. Rijn, L. Schomaker, and J. Nerbonne (Austin, TX: Cognitive Science Society).

Google Scholar

Petitmengin, C. (2007). Towards the Source of Thoughts. J. Conscious. Stud. 14 (3), 54–82.

Google Scholar

Piaget, J. (1952). The Origins of Intelligence in Children. New York, NY: W. W. Norton & Co.

Google Scholar

Piaget, J. (1968). Six Psychological Studies. D. Elkind (Trans.). New York: Random House.

Google Scholar

Pulvermüller, F. (2005). Brain Mechanisms Linking Language and Action. Nat. Rev. Neurosci. 6 (7), 576–582. doi:10.1038/nrn1706 PMID: 15959465

PubMed Abstract | CrossRef Full Text | Google Scholar

Radford, L., and Roth, W. M. (2011). Intercorporeality and Ethical Commitment: An Activity Perspective on Classroom Interaction. Educ. Stud. Maths. 77 (2), 227–245. doi:10.1007/s10649-010-9282-1

CrossRef Full Text | Google Scholar

Rasmussen, C., Stephan, M., and Allen, K. (2004). Classroom Mathematical Practices and Gesturing. J. Math. Behav. 23 (3), 301–323. doi:10.1016/j.jmathb.2004.06.003

CrossRef Full Text | Google Scholar

Rayner, K., Foorman, B. R., Perfetti, C. A., Pesetsky, D., and Seidenberg, M. S. (2001). How Psychological Science Informs the Teaching of Reading. Psychol. Sci. 2, 31–74. doi:10.1111/1529-1006.00004

PubMed Abstract | CrossRef Full Text | Google Scholar

Reinholz, D., Trninic, D., Howison, M., and Abrahamson, D. (2010). “It's Not Easy Being Green: Embodied Artifacts and the Guided Emergence of Mathematical Meaning,” in Proceedings of the Thirty-Second Annual Meeting of the North-American Chapter of the International Group for the Psychology of Mathematics Education (PME-NA 32). Editors P. Brosnan, D. Erchick, and L. Flevares (Columbus, OH: PME-NA), 1488–1496.

Google Scholar

Rizzolatti, G., Fadiga, L., Gallese, V., and Fogassi, L. (1996). Premotor Cortex and the Recognition of Motor Actions. Brain Res. Cogn. Brain Res. 3 (2), 131–141. doi:10.1016/0926-6410(95)00038-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Robertson, A. D., Scherr, R. E., and Hammer, D. (2016). Responsive Teaching in Science and Mathematics. New York: Routledge.

Google Scholar

Roediger, H. L. (2013). Applying Cognitive Psychology to Education: Translational Educational Science. Psychol. Sci. Public Interest 14, 1–3. doi:10.1177/1529100612454415

PubMed Abstract | CrossRef Full Text | Google Scholar

Roemer, L., Williston, S. K., and Rollins, L. G. (2015). Mindfulness and Emotion Regulation. Curr. Opin. Psychol. 3, 52–57. doi:10.1016/j.copsyc.2015.02.006

CrossRef Full Text | Google Scholar

Rogoff, B. (1990). Apprenticeship in Thinking: Cognitive Development in Social Contexts. Oxford, United Kingdom: Oxford University Press.

Google Scholar

Roschelle, J., Bakia, M., Toyama, Y., and Patton, C. (2011). Eight Issues for Learning Scientists About Education and the Economy. J. Learn. Sci. 20 (1), 3–49. doi:10.1080/10508406.2011.528318

CrossRef Full Text | Google Scholar

Rosenbaum, L. F., Kaur, J., and Abrahamson, D. (2020). Shaping Perception: Designing for Participatory Facilitation of Collaborative Geometry. Digit Exp. Math. Educ. 6, 191–212. doi:10.1007/s40751-020-00068-2

CrossRef Full Text | Google Scholar

Rowlands, M. (2010). The New Science of the Mind. Cambridge, MA: MIT Press. doi:10.7551/mitpress/9780262014557.001.0001

CrossRef Full Text | Google Scholar

Rubio, D. M., Schoenbaum, E. E., Lee, L. S., Schteingart, D. E., Marantz, P. R., Anderson, K. E., Platt, L. D., Baez, A., and Esposito, K. (2010). Defining Translational Research: Implications for Training. Acad. Med. 85 (3), 470–475. 2010 Mar. doi:10.1097/ACM.0b013e3181ccd618

PubMed Abstract | CrossRef Full Text | Google Scholar

Saarni, C. (1997). Coping With Aversive Feelings. Motiv. Emot. 21 (1), 45–63. doi:10.1023/A:1024474314409

CrossRef Full Text | Google Scholar

Schenck, K. E., Walkington, C., and Nathan, M. J. (2022). “Groups That Move Together, Prove Together: Collaborative Gestures and Gesture Attitudes Among Teachers Performing Embodied Geometry,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Shvarts, A., and Abrahamson, D. (2019). Dual-Eye-Tracking Vygotsky: A Microgenetic Account of a Teaching/Learning Collaboration in an Embodied-Interaction Technological Tutorial for Mathematics. Learn. Cult. Soc. Interaction 22, 100316. doi:10.1016/j.lcsi.2019.05.003

CrossRef Full Text | Google Scholar

Smyrnaiou, Z., and Sotiriou, M. (2016). D2.3 Effective Learning Environments for Inquiry Learning and Teaching. Los Angeles, CA: EU Project CREATIONS. CREATIONS (2015-2018), H2020-SEAC-2014-1CSA, 665917.

Google Scholar

Suwa, M. (2006). A Cognitive Model of Acquiring Embodied Expertise Through Meta-Cognitive Verbalization. Trans. Jpn. Soc. Artif. Intelligence 23 (3), 141–150.

Google Scholar

Tan, Y. S. M., and Amiel, J. J. (2019). Teachers Learning to Apply Neuroscience to Classroom Instruction: Case of Professional Development in British Columbia. Prof. Dev. Edu., 1–18. doi:10.1080/19415257.2019.1689522

CrossRef Full Text | Google Scholar

Tancredi, S., Chen, R. S. Y., Krause, C., and Siu, Y-T. (2022). “The Need for SPEED: Reimagining Accessibility Through Special Education Embodied Design,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Tanner, K. D. (2012). Promoting Student Metacognition. CBE Life Sci. Educ. 11 (2), 113–120. doi:10.1187/cbe.12-03-0033

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, E. (2007). Mind in Life. Cambridge, MA: Harvard University Press.

Google Scholar

Trninic, D., and Abrahamson, D. (2012). “Embodied Artifacts and Conceptual Performances,” in Proceedings of the International Conference of the Learning Sciences: Future of Learning (ICLS 2012), Sydney, Australia. Editors J. V. Aalst, K. Thompson, M. J. Jacobson, and P. Reimann (Sydney: University of Sydney/ISLS), Vol. 1, 283–290.

Google Scholar

Tugade, M. M., Fredrickson, B. L., and Barrett, L. F. (2004). Psychological Resilience and Positive Emotional Granularity: Examining the Benefits of Positive Emotions on Coping and Health. J. Pers. 72 (6), 1161–1190. doi:10.1111/j.1467-6494.2004.00294.x

CrossRef Full Text | Google Scholar

Varela, F. J., Thompson, E., and Rosch, E. (1991). The Embodied Mind: Cognitive Science and Human Experience. Cambridge, MA: MIT Press.

Google Scholar

Vieyra, R. (2018). “Teaching Students Metacognition Through Discipline-Based Research and Technology,” in Einstein Fellows: Best Practices in STEM Education. 2nd Ed. (New York: Peter Lang Inc).

Google Scholar

Vierya, R., and Vierya, C. (2022). “Immersive Learning Experiences in Augmented Reality (AR): Visualizing and Interacting With Magnetic Fields,” in Movement Matters: How Embodied Cognition Informs Teaching and Learning. Editors S. L. Macrine, and J. M. B. Fugate (Cambridge, MA: MIT Press).

Google Scholar

Vieyra, R., Vieyra, C., Pendrill, A.-M., and Xu, B. (2020). Gamified Physics Challenges for Teachers and the Public. Phys. Educ. 55, 045014. doi:10.1088/1361-6552/ab8779

CrossRef Full Text | Google Scholar

Vinci‐Booher, S., and James, K. H. (2020). Visual Experiences During Letter Production Contribute to the Development of the Neural Systems Supporting Letter Perception. Dev. Sci. 23 (5), e12965.

PubMed Abstract | Google Scholar

Vogelstein, L., Brady, C., and Hall, R. (2019). Reenacting Mathematical Concepts Found in Large-Scale Dance Performance Can Provide Both Material and Method for Ensemble Learning. ZDM Maths. Edu. 51 (2), 331–346. doi:10.1007/s11858-019-01030-2

CrossRef Full Text | Google Scholar

Vygotsky, L. S. (1926/1997). Educational Psychology (R. H. Silverman, Trans.). Boca Raton: CRC Press LLC. Original Work Published 1926.

Google Scholar

Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Editors M. Cole, V. John-Steiner, S. Scribner, and E. Souberman. (Cambridge, MA: Harvard University Press).

Google Scholar

Walkington, C., Chelule, G., Woods, D., and Nathan, M. J. (2019). Collaborative Gesture as a Case of Extended Mathematical Cognition. J. Math. Behav. 55, 100683. doi:10.1016/j.jmathb.2018.12.002

CrossRef Full Text | Google Scholar

Weinstein, Y., Madan, C. R., and Sumeracki, M. A. (2018). Teaching the Science of Learning. Cogn. Res. Princ. Implic. 3 (2), 2. doi:10.1186/s41235-017-0087-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Weisberg, S. M., and Newcombe, N. S. (2017). How Do (Some) People Make a Cognitive Map? Routes, Places, and Working Memory. J. Exp. Psychol. Learn. Mem. Cogn. 42 (5), 768–785. doi:10.1037/xlm0000200

CrossRef Full Text | Google Scholar

Wertsch, J. V. (1985). Vygotsky and the Social Formation of Mind. Cambridge, MA: Harvard University Press.

Google Scholar

Wilcox, G., Morett, L. M., Hawes, Z., and Dommett, E. J. (2020). Why Educational Neuroscience Needs Educational and School Psychology to Effectively Translate Neuroscience to Educational Practice. Front. Psychol. 11, 618449. doi:10.3389/fpsyg.2020.618449

PubMed Abstract | CrossRef Full Text | Google Scholar

Willingham, D. T. (2009). Three Problems in the Marriage of Neuroscience and Education. Cortex 45 (4), 544–545. doi:10.1016/j.cortex.2008.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilson, A., and Foglia, L. (2011). Embodied Cognition. Stanford Encyclopedia of Philosophy. Available at: https://philpapers.org/rec/WILEC.

Google Scholar

Wilson, M. (2002). Six Views of Embodied Cognition. Psychon. Bull. Rev. 9 (4), 625–636. doi:10.3758/BF03196322

PubMed Abstract | CrossRef Full Text | Google Scholar

Zwaan, R. A. (2014). Embodiment and Language Comprehension: Reframing the Discussion. Trends Cogn. Sci. 18 (5), 229–234. doi:10.1016/j.tics.2014.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: translational science, embodied cognition, teaching—learning, pedagogy, learning sciences

Citation: Macrine SL and Fugate JMB (2021) Translating Embodied Cognition for Embodied Learning in the Classroom. Front. Educ. 6:712626. doi: 10.3389/feduc.2021.712626

Received: 20 May 2021; Accepted: 18 August 2021;
Published: 02 December 2021.

Edited by:

MarÃ-a Teresa MartÃ-n-Aragoneses, National University of Distance Education (UNED), Spain

Reviewed by:

Linda Baker, University of Maryland, Baltimore County, United States
Carlos Santoyo, National Autonomous University of Mexico, Mexico

Copyright © 2021 Macrine and Fugate. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sheila L. Macrine, smacrine@umassd.edu

These authors have contributed equally to this work

Download