A literature review on the empirical studies of technology-based embodied learning

References

• Antle, A. N., Corness, G., & Droumeva, M. (2009). What the body knows: Exploring the benefits of embodied metaphors in hybrid physical digital environments. Interacting with Computers, 21(1-2), 66–75. https://doi.org/10.1016/j.intcom.2008.10.005
   Web of Science ®Google Scholar
• Barsalou, L. W. (1999). Perceptual symbol systems. Behavioral and Brain Sciences, 22(4), 577–660. https://doi.org/10.1017/S0140525X99002149
   PubMed Web of Science ®Google Scholar
• Bokosmaty, S., Mavilidi, M. F., & Paas, F. (2017). Making versus observing manipulations of geometric properties of triangles to learn geometry using dynamic geometry software. Computers & Education, 113, 313–326. https://doi.org/10.1016/j.compedu.2017.06.008
   Web of Science ®Google Scholar
• Castro-Alonso, J. C., Ayres, P., & Paas, F. (2014). Learning from observing hands in static and animated versions of non-manipulative tasks. Learning and Instruction, 34, 11–21. https://doi.org/10.1016/j.learninstruc.2014.07.005
   Web of Science ®Google Scholar
• Castro-Alonso, J. C., Ayres, P., & Paas, F. (2015). Animations showing Lego manipulative tasks: Three potential moderators of effectiveness. Computers & Education, 85, 1–13. https://doi.org/10.1016/j.compedu.2014.12.022
   Web of Science ®Google Scholar
• Castro-Alonso, J. C., Ayres, P., Wong, M., & Paas, F. (2018). Learning symbols from permanent and transient visual presentations: Don't overplay the hand. Computers & Education, 116, 1–13. https://doi.org/10.1016/j.compedu.2017.08.011
   Web of Science ®Google Scholar
• Chang, C. W., Lee, J. H., Wang, C. Y., & Chen, G. D. (2010). Improving the authentic learning experience by integrating robots into the mixed-reality environment. Computers & Education, 55(4), 1572–1578. https://doi.org/10.1016/j.compedu.2010.06.023
   Web of Science ®Google Scholar
• Chao, K. J., Huang, H. W., Fang, W. C., & Chen, N. S. (2013). Embodied play to learn: Exploring kinect-facilitated memory performance. British Journal of Educational Technology, 44(5), E151–E155. https://doi.org/10.1111/bjet.12018
   Web of Science ®Google Scholar
• Cherdieu, M., Palombi, O., Gerber, S., Troccaz, J., & Rochet-Capellan, A. (2017). Make gestures to learn: Reproducing gestures improves the learning of anatomical knowledge more than just seeing gestures. Frontiers in psychology, 8, 1689.
   PubMed Web of Science ®Google Scholar
• Conley, Q., Atkinson, R. K., Nguyen, F., & Nelson, B. C. (2020). MantarayAR: Leveraging augmented reality to teach probability and sampling. Computers & Education, 153, 103895. https://doi.org/10.1016/j.compedu.2020.103895
   Web of Science ®Google Scholar
• Danish, J. A., Enyedy, N., Saleh, A., & Humburg, M. (2020). Learning in embodied activity framework: A sociocultural framework for embodied cognition. International Journal of Computer-Supported Collaborative Learning, 15(1), 49–87. https://doi.org/10.1007/s11412-020-09317-3
   Web of Science ®Google Scholar
• Davidsen, J., & Ryberg, T. (2017). “This is the size of one meter”: Children’s bodily-material collaboration. International Journal of Computer-Supported Collaborative Learning, 12(1), 65–90. https://doi.org/10.1007/s11412-017-9248-8
   Web of Science ®Google Scholar
• De Jong, T., Linn, M. C., & Zacharia, Z. C. (2013). Physical and virtual laboratories in science and engineering education. Science, 340(6130), 305–308. https://doi.org/10.1126/science.1230579
   PubMed Web of Science ®Google Scholar
• De Koning, B. B., & Tabbers, H. K. (2013). Gestures in instructional animations: A helping hand to understanding non-human movements? Applied Cognitive Psychology, 27(5), 683–689. https://doi.org/10.1002/acp.2937
   Web of Science ®Google Scholar
• De Nooijer, J. A., Van Gog, T., Paas, F., & Zwaan, R. A. (2013). Effects of imitating gestures during encoding or during retrieval of novel verbs on children's test performance. Acta Psychologica, 144(1), 173–179. https://doi.org/10.1016/j.actpsy.2013.05.013
   PubMed Web of Science ®Google Scholar
• Duijzer, C., Van den Heuvel-Panhuizen, M., Veldhuis, M., & Doorman, M. (2019). Supporting primary school students’ reasoning about motion graphs through physical experiences. ZDM, 51(6), 899–913. https://doi.org/10.1007/s11858-019-01072-6
   Google Scholar
• Enyedy, N., Danish, J. A., Delacruz, G., & Kumar, M. (2012). Learning physics through play in an augmented reality environment. International Journal of Computer-Supported Collaborative Learning, 7(3), 347–378. https://doi.org/10.1007/s11412-012-9150-3
   Web of Science ®Google Scholar
• Euler, E., Rådahl, E., & Gregorcic, B. (2019). Embodiment in physics learning: A social-semiotic look. Physical Review Physics Education Research, 15(1), 010134.
   Web of Science ®Google Scholar
• Flynn, B. B., Sakakibara, S., Schroeder, R. G., Bates, K. A., & Flynn, E. J. (1990). Empirical research methods in operationsmanagement. Journal of Operations Management, 9(2), 250–284.
   Google Scholar
• Georgiou, Y., & Ioannou, A. (2019). Embodied learning in a digital world: A systematic review of empirical research in K-12 education. In P. Díaz, A. Ioannou, K. Bhagat, & J. Spector (Eds.), Learning in a digital world (pp. 155–177). Springer.
   Google Scholar
• Gibbs, R. W., Jr. (2006). Embodiment and cognitive science. Cambridge University Press.
   Google Scholar
• Hung, I. C., & Chen, N. S. (2018). Embodied interactive video lectures for improving learning comprehension and retention. Computers & Education, 117, 116–131. https://doi.org/10.1016/j.compedu.2017.10.005
   Web of Science ®Google Scholar
• Hung, I. C., Hsu, H. H., & Chen, N. S. (2015). Communicating through body: A situated embodiment-based strategy with flag semaphore for procedural knowledge construction. Educational Technology Research and Development, 63(5), 749–769. https://doi.org/10.1007/s11423-015-9386-5
   Web of Science ®Google Scholar
• Hung, I. C., Lin, L. I., Fang, W. C., & Chen, N. S. (2014). Learning with the body: An embodiment-based learning strategy enhances performance of comprehending fundamental optics. Interacting with Computers, 26(4), 360–371. https://doi.org/10.1093/iwc/iwu011
   Web of Science ®Google Scholar
• Ioannou, M., & Ioannou, A. (2020). Technology-enhanced embodied learning: Designing and evaluating a new classroom experience. Educational Technology & Society, 23(3), 81–94.
   Web of Science ®Google Scholar
• Johnson-Glenberg, M. C., Birchfield, D. A., Tolentino, L., & Koziupa, T. (2014). Collaborative embodied learning in mixed reality motion-capture environments: Two science studies. Journal of Educational Psychology, 106(1), 86–104. https://doi.org/10.1037/a0034008
   Web of Science ®Google Scholar
• Johnson-Glenberg, M. C., & Hekler, E. B. (2013). "Alien Health game": An embodied exergame to instruct in nutrition and MyPlate. Games for Health: Research, Development, and Clinical Applications, 2(6), 354–361. https://doi.org/10.1089/g4h.2013.0057
   PubMed Web of Science ®Google Scholar
• Johnson-Glenberg, M. C., Megowan-Romanowicz, C., Birchfield, D. A., & Savio-Ramos, C. (2016). Effects of embodied learning and digital platform on the retention of physics content: Centripetal force. Frontiers in Psychology, 7, 1819. https://doi.org/10.3389/fpsyg.2016.01819
   PubMed Web of Science ®Google Scholar
• Junokas, M. J., Lindgren, R., Kang, J., & Morphew, J. W. (2018). Enhancing multimodal learning through personalized gesture recognition. Journal of Computer Assisted Learning, 34(34), 350–357. https://doi.org/10.1111/jcal.12262
   Google Scholar
• Keebler, J. R., Wiltshire, T. J., Smith, D. C., Fiore, S. M., & Bedwell, J. S. (2014). Shifting the paradigm of music instruction: Implications of embodiment stemming from an augmented reality guitar learning system. Frontiers in Psychology, 5(471), 1–19. https://doi.org/10.3389/fpsyg.2014.00471
   PubMedGoogle Scholar
• Keifert, D., Lee, C., Enyedy, N., Dahn, M., Lindberg, L., & Danish, J. (2020). Tracing bodies through liminal blends in a mixed reality learning environment. International Journal of Science Education, 42(18), 3093–3115. https://doi.org/10.1080/09500693.2020.1851423
   Web of Science ®Google Scholar
• Lajevardi, N., Narang, N. S., Marcus, N., & Ayres, P. (2017). Can mimicking gestures facilitate learning from instructional animations and static graphics? Computers & Education, 110, 64–76. https://doi.org/10.1016/j.compedu.2017.03.010
   Web of Science ®Google Scholar
• Lakoff, G. (1993). The contemporary theory of metaphor. In A. Ortony (Ed.), Metaphor and thought (2nd ed., pp. 202–251). Cambridge University Press.
   Google Scholar
• Lakoff, G., & Johnson, M. (1980). Metaphors we live by. University of Chicago Press.
   Google Scholar
• Lan, Y. J., Fang, W. C., Hsiao, I. Y., & Chen, N. S. (2018). Real body versus 3D avatar: The effects of different embodied learning types on EFL listening comprehension. Educational Technology Research and Development, 66(3), 709–731. https://doi.org/10.1007/s11423-018-9569-y
   Web of Science ®Google Scholar
• Leman, M. (2008). Embodied music cognition and mediational technology. The MIT Press.
   Google Scholar
• Li, W., Wang, F., Mayer, R. E., & Liu, H. (2019). Getting the point: Which kinds of gestures by pedagogical agents improve multimedia learning? Journal of Educational Psychology, 111(8), 1382–1395. https://doi.org/10.1037/edu0000352
   Web of Science ®Google Scholar
• Lindgren, R., Morphew, J., Kang, J., & Junokas, M. (2019). An embodied cyberlearning platform for gestural interaction with cross-cutting science concepts. Mind, Brain, and Education, 13(1), 53–61. https://doi.org/10.1111/mbe.12191
   Web of Science ®Google Scholar
• Lindgren, R., Tscholl, M., Wang, S., & Johnson, E. (2016). Enhancing learning and engagement through embodied interaction within a mixed reality simulation. Computers & Education, 95, 174–187. https://doi.org/10.1016/j.compedu.2016.01.001
   Web of Science ®Google Scholar
• Lui, M., McEwen, R., & Mullally, M. (2020). Immersive virtual reality for supporting complex scientific knowledge: Augmenting our understanding with physiological monitoring. British Journal of Educational Technology, 51(6), 2181–2199. https://doi.org/10.1111/bjet.13022
   Web of Science ®Google Scholar
• Malinverni, L., & Pares, N. (2014). Learning of abstract concepts through full-body interaction: A systematic review. Journal of Educational Technology & Society, 17(4), 100–116.
   Web of Science ®Google Scholar
• Mayer, R. E. (2014). Incorporating motivation into multimedia learning. Learning and Instruction, 29, 171–173. https://doi.org/10.1016/j.learninstruc.2013.04.003
   Web of Science ®Google Scholar
• Merkouris, A., & Chorianopoulos, K. (2019). Programming embodied interactions with a remotely controlled educational robot. ACM Transactions on Computing Education, 19(4), 1–19. https://doi.org/10.1145/3336126
   Web of Science ®Google Scholar
• Merkouris, A., Chorianopoulou, B., Chorianopoulos, K., & Chrissikopoulos, V. (2019). Understanding the notion of friction through gestural interaction with a remotely controlled Robot. Journal of Science Education and Technology, 28(3), 209–221. https://doi.org/10.1007/s10956-018-9760-2
   Web of Science ®Google Scholar
• Mierowsky, R., Marcus, N., & Ayres, P. (2020). Using mimicking gestures to improve observational learning from instructional videos. Educational Psychology, 40(5), 550–569.
   Web of Science ®Google Scholar
• Moreno, R. (2006). Does the modality principle hold for different media? A test of the method-affects-learning hypothesis. Journal of Computer Assisted Learning, 22(3), 149–158. https://doi.org/10.1111/j.1365-2729.2006.00170.x
   Web of Science ®Google Scholar
• Paas, F., & Sweller, J. (2012). An evolutionary upgrade of cognitive load theory: Using the human motor system and collaboration to support the learning of complex cognitive tasks. Educational Psychology Review, 24(1), 27–45. https://doi.org/10.1007/s10648-011-9179-2
   Web of Science ®Google Scholar
• Paek, S., Hoffman, D. L., & Black, J. B. (2016). Perceptual factors and learning in digital environments. Educational Technology Research and Development, 64(3), 435–457. https://doi.org/10.1007/s11423-016-9427-8
   Web of Science ®Google Scholar
• Park, B., Plass, J. L., & Brünken, R. (2014). Cognitive and affective processes in multimedia learning. Learning and Instruction, 29, 125–127. https://doi.org/10.1016/j.learninstruc.2013.05.005
   Web of Science ®Google Scholar
• Post, L. S., Van Gog, T., Paas, F., & Zwaan, R. A. (2013). Effects of simultaneously observing and making gestures while studying grammar animations on cognitive load and learning. Computers in Human Behavior, 29(4), 1450–1455. https://doi.org/10.1016/j.chb.2013.01.005
   Web of Science ®Google Scholar
• Pouw, W. T., Eielts, C., Van Gog, T., Zwaan, R. A, & Paas, F. (2016). Does (non-) meaningful sensori-motor engagement promote learning with animated physical systems. Brain, and Education, 10(2), 91–104.
   Web of Science ®Google Scholar
• Skulmowski, A., Pradel, S., Kühnert, T., Brunnett, G., & Rey, G. D. (2016). Embodied learning using a tangible user interface: The effects of haptic perception and selective pointing on a spatial learning task. Computers & Education, 92-93, 64–75. https://doi.org/10.1016/j.compedu.2015.10.011
   Web of Science ®Google Scholar
• Skulmowski, A., & Rey, G. D. (2017). Measuring cognitive load in embodied learning settings. Frontiers in Psychology, 8, 1–6. https://doi.org/10.3389/fpsyg.2017.01191
   PubMed Web of Science ®Google Scholar
• Skulmowski, A., & Rey, G. D. (2018). Embodied learning: Introducing a taxonomy based on bodily engagement and task integration. Cognitive Research: Principles and Implications, 3(1), 1–10. https://doi.org/10.1186/s41235-018-0092-9
   PubMedGoogle Scholar
• Slepian, M. L., & Ambady, N. (2014). Simulating sensorimotor metaphors: Novel metaphors influence sensory judgments. Cognition, 130(3), 309–314. https://doi.org/10.1016/j.cognition.2013.11.006
   PubMed Web of Science ®Google Scholar
• Song, H. S., Pusic, M., Nick, M. W., Sarpel, U., Plass, J. L., & Kalet, A. L. (2014). The cognitive impact of interactive design features for learning complex materials in medical education. Computers & Education, 71, 198–205. https://doi.org/10.1016/j.compedu.2013.09.017
   PubMed Web of Science ®Google Scholar
• Strauss, A., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Sage.
   Google Scholar
• Thelen, E., Schner, G., Scheier, C., & Smith, L. B. (2001). The dynamics of embodiment: A field theory of infant perseverative reaching. Behavioral & Brain Sciences, 24(1), 34–86. https://doi.org/10.1017/S0140525X01223917
   Web of Science ®Google Scholar
• Trochim, W. M. K., & Donnelly, J. P. (2006). Research methods knowledge base (3rd ed.). Thomson. http://www.socialresearchmethods.net/kb/
   Google Scholar
• Tscholl, M., & Lindgren, R. (2016). Designing for learning conversations: How parents support children's science learning within an immersive simulation. Science Education, 100(5), 877–902. https://doi.org/10.1002/sce.21228
   Web of Science ®Google Scholar
• Wang, Y. H., Young, S. S. C., & Jang, J. S. R. (2013). Using tangible companions for enhancing learning English conversation. Journal of Educational Technology & Society, 16(2), 296–309.
   Web of Science ®Google Scholar
• Wilson, M. (2002). Six views of embodied cognition. Psychonomic Bulletin & Review, 9(4), 625–636. https://doi.org/10.3758/BF03196322
   PubMed Web of Science ®Google Scholar
• Xu, J., & Zhong, B. (2018). Review on portable EEG technology in educational research. Computers in Human Behavior, 81, 340–349. https://doi.org/10.1016/j.chb.2017.12.037
   Web of Science ®Google Scholar
• Xu, X., & Ke, F. (2020). Embodied interaction: Learning Chinese characters through body movements. Language Learning & Technology, 24(3), 136–159.
   Web of Science ®Google Scholar