• Chia-Ju Liu
  • Wen-Wei ChiangEmail author


This report provides an overview of neuroscience research that is applicable for science educators. It first offers a brief analysis of empirical studies in educational neuroscience literature, followed by six science concept learning constructs based on the whole brain theory: gaining an understanding of brain function; pattern recognition and consciousness; mind maps, mnemonics and other learning devices; concrete multisensory experience; higher-order creative reasoning via a multimedia-infused environment and positive emotion in educational settings. It is vital to the future of results-based education that discoveries regarding the cognitive learning process are taken into consideration when designing instruction. This research offers science educators neuroscience-backed information as a foundation to develop results-oriented curricula and teaching methods. Future research could further extend an empirically driven education system.

Key words

brain educational neuroscience EEG ERPs eye-tracking 


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  1. Ainley, M. & Ainley, J. (2009). Interest in science: Part of the complex structure of student motivation in science. Paper presented at the 8th Annual Python for Scientific Computing Conference, Pasadena, California.Google Scholar
  2. Anderson, O. R. (2009). Neurocognitive theory and constructivism in science education: A review of neurobiological, cognitive and cultural perspectives. Brunei International Journal of Mathematics and Science Education, 1, 1–32.Google Scholar
  3. Anderson, O. R. & Contino, J. (2010). A study of teacher-mediated enhancement of students’ organization of earth science knowledge using web diagrams as a teaching device. Journal of Science Teacher Education, 21(6), 683–701.CrossRefGoogle Scholar
  4. Baron-Cohen, S., Knickmeyer, R. C. & Belmonte, M. (2006). Genetic research into autism. Science, 311, 952.Google Scholar
  5. Bostrom, N. & Sandberg, A. (2009). Cognitive enhancement: Methods, ethics, regulatory challenges. Science and Engineering Ethics, 15(3), 311–341. doi: 10.1007/s11948-009-9142-5.CrossRefGoogle Scholar
  6. Busatto, G. F., Pilowsky, L. S., Costa, D. C., Ell, P. J., David, A. S., Lucey, J. V. & Kerwin, R. W. (1997). Correlation between reduced in vivo benzodiazepine receptor binding and severity of psychotic symptoms in schizophrenia. The American Journal of Psychiatry, 154, 56–63.Google Scholar
  7. Buzan, T. & Buzan, B. (1996). The mind map book: How to use radiant thinking to maximize your brain’s untapped potential. New York, NY: Plume.Google Scholar
  8. Campbell, S. R. (2011). Educational Neuroscience: Motivations, methodology, and implications. Educational Philosophy and Theory, 43(1), 7–16. doi: 10.1111/j.1469-5812.2010.00701.x.CrossRefGoogle Scholar
  9. Carew, T. J. & Magsamen, S. H. (2010). Neuroscience and education: An ideal partnership for producing evidence-based solutions to Guide 21(st) Century Learning. Neuron, 67(5), 685–688. doi: 10.1016/j.neuron.2010.08.028.CrossRefGoogle Scholar
  10. Chiu, M.H. (2008). Research And InstructioN-Based/Oriented Work (RAINBOW) for conceptual change in science learning- An exampls of students' understanding of gas particles. Paper presented at the National Association for Research in Science Teaching (NARST), Baltimore, MD, USA.Google Scholar
  11. Chiu, M. H. & Chung, S. L. (2008). Students’ ontological concepts of gas particles via the use of the Research And InstructioN-Based/Oriented Work (RAINBOW) Approach. Paper presented at the 6th International Conference on Conceptual Change, Finland.Google Scholar
  12. Davidson, R. J. & Begley, S. (2012). The emotional life of your brain: How its unique patterns affect the way you think, feel, and live—And how you can change them. New York, NY: Hudson Street Press.Google Scholar
  13. Dehaene, S., Spelke, E., Pinel, P., Stanescu, R. & Tsivkin, S. (1999). Sources of mathematical thinking: Behavioral and brain-imaging evidence. Science, 284(5416), 970–974.CrossRefGoogle Scholar
  14. Erk, S., Kiefer, M., Grothe, J., Wunderlich, A. P., Spitzer, M. & Walter, H. (2003). Emotional context modulates subsequent memory effect. Neuroimage, 18(2), 439–447.CrossRefGoogle Scholar
  15. Fischer, K. W., Immordino-Yang, M. H. & Waber, D. P. (2007). Toward a grounded synthesis of mind, brain, and education for reading disorders: An introduction to the field and this book. In K. W. Fischer, J. H. Bernstein & M. H. Immordino-Yang (Eds.), Mind, brain, and education in reading disorders (pp. 3–15). Cambridge, UK: Cambridge University Press.Google Scholar
  16. Geake, J. (2008). Neuromythologies in education. Educational Research, 50(2), 123–133. doi: 10.1080/00131880802082518.CrossRefGoogle Scholar
  17. Gilbert, M. (2013). Cognitive function: Mechanisms underlying learning and memory. Making a Speech in Graduate Institute of Science Education and Environmental Education. Kaohsiung, Taiwan: National Kaohsiung Normal University.Google Scholar
  18. Hoffman, K. L. & McNaughton, B. L. (2002). Coordinated reactivation of distributed memory traces in primate neocortex. Science, 297(5589), 2070–2073. doi: 10.1126/science.1073538.CrossRefGoogle Scholar
  19. Immordino-Yang, M. H., McColl, A., Damasio, H. & Damasio, A. (2009). Neural correlates of admiration and compassion. Proceedings of the National Academy of Sciences of the United States of America, 106(19), 8021–8026. doi: 10.1073/pnas.0810363106.CrossRefGoogle Scholar
  20. Johnson, D. W., Johnson, R. T. & Smith, K. (2007). The state of cooperative learning in postsecondary and professional settings. Educational Psychology Review, 19(1), 15–29. doi: 10.1007/s10648-006-9038-8.CrossRefGoogle Scholar
  21. Koizumi, H. (2008). Developing the brain: A functional imaging approach to learning and educational sciences. In A. M. Battro, K. W. Fischer & P. J. Léna (Eds.), The educated brain: Essays in neuroeducation (pp. 166–180). Cambridge: Cambridge University Press.Google Scholar
  22. Kraut, M. A., Kremen, S., Segal, J. B., Calhoun, V., Moo, L. R. & Hart, J., Jr. (2002). Object activation from features in the semantic system. Journal of Cognitive Neuroscience, 14(1), 24–36. doi: 10.1162/089892902317205294.CrossRefGoogle Scholar
  23. Lawson, A. E. (2003). The neurological basis of learning, development, and discovery: Implications for science and mathematics instruction. Dordrecht, The Netherlands: Kluwer.Google Scholar
  24. Lehky, S. R. & Sereno, A. B. (2007). Comparison of shape encoding in primate dorsal and ventral visual pathways. Journal of Neurophysiology, 97(1), 307–319. doi: 10.1152/jn.00168.2006.CrossRefGoogle Scholar
  25. Liu, B. Y. & Liu, C. J. (2012). Using ERPs to investigate two-dimensional and three-dimensional image recognition. Journal of Research in Education Sciences, 57(2), 1–23.Google Scholar
  26. Liu, C.J. (2005–2008). Evaluation and development of creativity sub-program 10: The study composed of elements of the scientific creativity researched by the brain signals. Taiwan (R.O.C.): National Science Council.Google Scholar
  27. Liu, C. J. & Hou, I. L. (2009). Explore the influence of prior knowledge on understanding in scientific diagrams through eye tracking. Bulletin of Educational Psychology, 43(Special Issue on Reading), 227–250.Google Scholar
  28. Louie, K. & Wilson, M. A. (2001). Temporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep. Neuron, 29(1), 145–156.CrossRefGoogle Scholar
  29. Mayer, R. E. (2001). Multimedia learning. New York, NY: Cambridge University Press.Google Scholar
  30. Mayer, R. E., Heiser, J. & Lonn, S. (2001). Cognitive constraints on multimedia learning: When presenting more material results in less understanding. Journal of Educational Psychology, 93(1), 187–198.CrossRefGoogle Scholar
  31. Mayer, R. E. & Johnson, C. I. (2008). Revising the redundancy principle in multimedia learning. Journal of Educational Psychology, 100(2), 380–386. doi: 10.1037/0022-0663.100.2.380.Google Scholar
  32. McCarthy, B. & McCarthy, D. (2005). Teaching around the 4MAT cycle: Designing instruction for diverse learners with diverse learning styles. Thousand Oaks, CA: Corwin Press.Google Scholar
  33. Moreno, R. & Mayer, R. E. (1999). Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology, 91(2), 358–368.Google Scholar
  34. Perani, D., Fazio, F., Borghese, N. A., Tettamanti, M., Ferrari, S., Decety, J. & Gilardi, M. C. (2001). Different brain correlates for watching real and virtual hand actions. Neuroimage, 14(3), 749–758. doi: 10.1006/nimg.2001.0872.Google Scholar
  35. Posner, M. I., Rothbart, M., Farah, M. & Bruer, J. (2001). The developing human brain. Developmental Science, 4, 270–292.Google Scholar
  36. Prigge, D. J. (2002). 20 ways to promote brain-based teaching and learning. Intervention in School and Clinic, 37(4), 237–241.Google Scholar
  37. Schaverien, L. & Cosgrove, M. (1999). A biological basis for generative learning in technology-and-science: Part I—A theory of learning. International Journal of Science Education, 21(12), 1223–1236.Google Scholar
  38. Schunk, D. H. (1998). An educational psychologist’s perspective on cognitive neuroscience. Educational Psychology Review, 10, 411–417.Google Scholar
  39. Schutz, P. A. & Lanehart, S. J. (2002). Emotions in education. Educational Psychologist, 37, 67–68.Google Scholar
  40. Sheckley, B. G. & Bell, S. (2006). Experience, consciousness, and learning: Implications for instruction. In S. Johnson & K. Taylor (Eds.), The neuroscience of adult learning, new directions for adult and continuing education (Vol. 110, pp. 43–52). San Francisco, CA: Jossey-Bass.Google Scholar
  41. Snyder, C. R. (2000). Handbook of hope: Theory, measures, and application. San Diego, CA: Academic.Google Scholar
  42. Stein, Z. & Fischer, K. W. (2011). Directions for mind, brain, and education: Methods, models, and morality. Educational Philosophy and Theory, 43(1), 56–66. doi: 10.1111/j.1469-5812.2010.00708.x.Google Scholar
  43. Svensson, L., Mullarney, K., Zetterstrom, D. & Grant, P. J. (2008). Collins bird guide. Cork, Ireland: The Collins Press.Google Scholar
  44. Temple, E. & Posner, M.I. (1998). Brain mechanisms of quantity are similar in 5-year-olds and adults. Paper presented at the National Academy of Sciences of the U.S.A.Google Scholar
  45. Tobin, K. (2009). Difference as a resource for learning and enhancing science education. Cultural Studies of Science Education, 4, 755–760.Google Scholar
  46. Tobin, K. (2011). Global reproduction and transformation of science education. Cultural Studies of Science Education, 6, 127–142.Google Scholar
  47. Tobin, K. & Ritchie, S. M. (2012). Multi-method, multi-theoretical, multi-level research in the learning sciences. Asia-Pacific Education Researcher, 21(1), 117–129.Google Scholar
  48. Turner, J. C., Meyer, D. K., Midgley, C. & Patrick, H. (2003). Teachers’ discourse and sixth graders’ reported affect and achievement behaviors in two high mastery/high performance mathematics classrooms. The Elementary School Journal, 103, 357–382.Google Scholar
  49. Vos, N., van der Meijden, H. & Denessen, E. (2011). Effects of constructing versus playing an educational game on student motivation and deep learning strategy use. Computers & Education, 56(1), 127–137. doi: 10.1016/j.compedu.2010.08.013.Google Scholar
  50. Wittrock, M. C. (1998). Comment on “the educational relevance of research in cognitive neuroscience”. Educational Psychology Review, 10(4), 427–429.Google Scholar
  51. Zeyer, A. & Wolf, S. (2010). Is there a relationship between brain type, sex and motivation to learn science? International Journal of Science Education, 32(16), 2217–2233. doi: 10.1080/09500690903585184.Google Scholar

Copyright information

© National Science Council, Taiwan 2013

Authors and Affiliations

  1. 1.National Kaohsiung Normal UniversityKaohsiungPeople’s Republic of China
  2. 2.Graduate Institute of Science Education and Environmental EducationNational Kaohsiung Normal UniversityKaohsiung CityPeople’s Republic of China

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