The potential of neuroscience for health sciences education: towards convergence of evidence and resisting seductive allure
Tóm tắt
Since emergence of the field ‘Educational Neuroscience’ (EN) in the late nineties of the previous century, a debate has emerged about the potential this field holds to influence teaching and learning in the classroom. By now, most agree that the original claims promising direct translations to teaching and learning were too strong. I argue here that research questions in (health professions) education require multi-methodological approaches, including neuroscience, while carefully weighing what (combination of) approaches are most suitable given a research question. Only through a multi-methodological approach will convergence of evidence emerge, which is so desperately needed for improving teaching and learning in the classroom. However, both researchers and teachers should become aware of the so-called ‘seductive allure’ of EN; that is, the demonstrable physical location and apparent objectivity of the measurements can be interpreted as yielding more powerful evidence and warranting stronger conclusions than, e.g., behavioral experiments, where in fact oftentimes the reverse is the case. I conclude that our tendency as researchers to commit ourselves to one methodological approach and to addressing educational research questions from a single methodological perspective is limiting progress in educational science and in translation to education.
Tài liệu tham khảo
Ansari, D. (2005). Time to use neuroscience findings in teacher training. Nature, 437, 26.
Ansari, D., Coch, D., & De Smedt, B. (2011). Connecting education and cognitive neuroscience: Where will the journey take us? Educational Philosophy and Theory, 43(1), 37–42.
Barcroft, J. (2007). Effects of opportunities for word retrieval during second language vocabulary learning. Language Learning, 57(1), 35–56.
Bjork, R. A., Dunlosky, J., & Kornell, N. (2013). Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology, 64, 417–444.
Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention. Child Development, 78(1), 246–263.
Blakemore, S.-J., & Frith, U. (2005). The learning brain: Lessons for education. Hoboken: Blackwell Publishing.
Bowers, J. (2016). The practical and principled problems with educational neuroscience. Psychological Review, 123, 600–612.
Bruer, J. T. (1997). Education and the brain: A bridge too far. Educational Researcher, 26(8), 4–16.
Carew, T. J., & Magsamen, S. H. (2010). Neuroscience and education: An ideal partnership for producing evidence-based solutions to guide 21st century learning. Neuron, 67, 685–688.
Cook, D. A., Bordage, G. A., & Schmidt, H. G. (2008). Description, justification, and clarification: A framework for classifying the purposes of research in medical education. Medical Education, 42, 128–133.
Dehaene, S. (2011). The massive impact of literacy on the brain and its consequences for education. Human Neuroplasticity and Education (Vatican City), 117, 19–32.
Dempster, F. N., & Farris, R. (1990). The spacing effect: Research and practice. Journal of Research & Development in Education, 23, 97–101.
Dubinsky, J. M., Roehrig, G., & Varma, S. (2013). Infusing neuroscience into teacher professional development. Educational Researcher, 43, 317–329.
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58.
Durning, S. J., Graner, J., Artino, A. R., Pangaro, L. N., Beckman, T., Holmboe, E., et al. (2012). Using functional neuroimaging combined with a think-aloud protocol to explore clinical reasoning expertise in internal medicine. Military Medicine, 177, 72–78.
Ericsson, K. A., Charness, N., Feltovich, P. J., & Hoffman, R. R. (2006). The Cambridge handbook of expertise and expert performance. Cambridge: Cambridge University Press.
Fritz, C. O., Morris, P. E., Nolan, D., & Singleton, J. (2007). Expanding retrieval practice: An effective aid to preschool children’s learning. The Quarterly Journal of Experimental Psychology, 60(7), 991–1004.
Froyen, D. J., Bonte, M. L., van Atteveldt, N., & Blomert, L. (2009). The long road to automation: Neurocognitive development of letter–speech sound processing. Journal of Cognitive Neuroscience, 21(3), 567–580.
Gabrieli, J. D. E. (2016). The promise of educational neuroscience: Comment on Bowers (2016). Psychological Review, 123, 613–619.
Goel, V. (2007). Anatomy of deductive reasoning. Trends in cognitive sciences, 11(10), 435–441.
Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14–26.
Larsen, J. B., & Blair, J. C. (2008). The effect of classroom amplification on the signal-to-noise ratio in classrooms while class is in session. Language, Speech, and Hearing Services in Schools, 39(4), 451–460.
Larsen, D. P., Butler, A. C., & Roediger, H. L., III. (2008). Test-enhanced learning in medical education. Medical Education, 42(10), 959–966.
Larsen, D. P., Butler, A. C., & Roediger, H. L., III. (2013). Comparative effects of test-enhanced learning and self-explanation on long-term retention. Medical Education, 47(7), 674–682.
Mayer, R., & Moreno, R. (1998). A split attention effect in multimedia learning: Evidence for dual processing systems in working memory. Journal of Educational Psychology, 90, 312–320.
Moulton, C.-A. E., Dubrowski, A., MacRae, H., Graham, B., Grober, E., & Reznick, R. (2006). Teaching surgical skills: What kind of practice makes perfect?: A randomized, controlled trial. Annals of Surgery, 244(3), 400–409.
Ringsted, C., Hodges, B., & Scherpbier, A. (2011). “The research compass”: An introduction to research in medical education: AMEE Guide no. 56. Medical Teacher, 33, 695–709.
Roediger, H., Finn, B., & Weinstein, Y. (2012). Applications of cognitive science to education. Neuroscience in education: The good, the bad, and the ugly (pp. 128–151).
Roediger, H. L., & Karpicke, J. D. (2006a). The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science, 1(3), 181–210.
Roediger, H. L., & Karpicke, J. D. (2006b). Test-enhanced learning taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255.
Supekar, K., Swigart, A. G., Tenison, C., Jolles, D. D., Rosenberg-Lee, M., Fuchs, L., et al. (2013). Neural predictors of individual differences in response to math tutoring in primary-grade school children. Proceedings of the National Academy of Sciences of the United States of America, 110, 8230–8235.
Tabbers, H. K., Martens, R. L., & Van Merriënboer, J. J. G. (2004). Multimedia instructions and cognitive load theory: Effects of modality and cuing. British Journal of Educational Psychology, 74, 71–81.
Tse, C.-S., Balota, D. A., & Roediger, H. L., III. (2010). The benefits and costs of repeated testing on the learning of face–name pairs in healthy older adults. Psychology and Aging, 25(4), 833.
Van Strien, J. W., Verkoeijen, P. P. J. L., Van der Meer, N., & Franken, I. H. A. (2007). Electrophysiological correlates of word repetition spacing: ERP and induced band power old/new effects with massed and spaced repetitions. International Journal of Psychophysiology, 66, 205–214.
Wang, P., Gauthier, I., & Cottrell, G. (2016). Are face and object recognition independent? A neurocomputational modeling exploration. Journal of Cognitive Neuroscience, 28, 558–574.
Weisberg, D. S., Keil, F. C., Goodstein, J., Rawson, E., & Gray, J. R. (2008). The seductive allure of neuroscience explanations. Journal of Cognitive Neuroscience, 20(3), 470–477.
Willingham, D. T., & Lloyd, J. W. (2007). How educational theories can use neuroscientific data. Mind, Brain, and Education, 1(3), 140–149.
Rourke, L., Singhai, A., Cruikshank, L., & Shapke, L. (this issue). A neural marker of medical visual expertise: Implications for training. Advances in Health Sciences Education.