Rethinking Learning in the Rapid Developments of Neuroscience, Learning Technologies, and Learning Sciences

  • Lin LinEmail author
  • Thomas D. Parsons
  • Deborah Cockerham
Part of the Educational Communications and Technology: Issues and Innovations book series (ECTII)


In this chapter, we discuss the purpose of this book and provide an overview of evolving discussions on the definitions of human learning, the processes of learning, and the methods to assess learning based on new advances and discoveries in learning sciences, learning technologies, and neurosciences.


Definitions of learning How people learn New technologies 


  1. Alber, R. (2011). Six scaffolding strategies to use with your students. Edutopia. Retrieved August 16, 2018, from
  2. Bainbridge, W. S. (2007). The scientific research potential of virtual worlds. Science, 317(5837), 472–476.Google Scholar
  3. Bandura, A. (1978). Social learning theory of aggression. Journal of Communication, 28(3), 12–29.Google Scholar
  4. Bar, M. (2007). The proactive brain: Using analogies and associations to generate predictions. Trends in Cognitive Sciences, 11(7), 280–289.Google Scholar
  5. Borgman, C. L., Abelson, H., Dirks, L., Johnson, R., Koedinger, K. R., Linn, M. C., et al. (2008). Fostering learning in the networked world: The cyberlearning opportunity and challenge, a 21st century agenda for the National Science Foundation. Report of the NSF task force on cyberlearning, 59.Google Scholar
  6. Bransford, J. D., Brown, A. L., & Cocking, R. R. (Eds.). (2000). How people learn: Brain, mind, experience and school (pp. 3–23). Washington DC: National Academy Press.Google Scholar
  7. Bruner, J., Goodnow, J., & Austin, G. (1986). A study of thinking (Social science classics series) (2nd ed.). New York: Transaction Publishers.Google Scholar
  8. Clark, A. (2008). Supersizing the mind: Embodiment, action, and cognitive extension. New York: Oxford University Press.Google Scholar
  9. Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58(1), 7–19.Google Scholar
  10. Damasio, A. R., Tranel, D., & Damasio, H. C. (1991). Ch. 11: Somatic markers and the guidance of behaviour: Theory and preliminary testing. In: H. S. Levin, H. M. Eisenberg, & A. L. Benton (Eds.), Frontal lobe function and dysfunction (pp. 217–229). Oxford: Oxford University Press.Google Scholar
  11. Dennett, D. C. (1996). Kinds of minds. New York: Basic Books.Google Scholar
  12. Dewey, J. (1938). Experience & education. New York: Kappa Delta Pi.Google Scholar
  13. Di Pellegrino, G., Fadiga, L., Fogassi, L., Gallese, V., & Rizzolatti, G. (1992). Understanding motor events: A neurophysiological study. Experimental Brain Research, 91(1), 176–180.Google Scholar
  14. Dunbar, R. I. (2016). Do online social media cut through the constraints that limit the size of offline social networks? Royal Society Open Science, 3(1), 150292.Google Scholar
  15. Elman, J. L. (2009). On the meaning of words and dinosaur bones: Lexical knowledge without a lexicon. Cognitive Science, 33, 547–582.Google Scholar
  16. Engin, M., Dalbastı, T., Güldüren, M., Davaslı, E., & Engin, E. Z. (2007). A prototype portable system for EEG measurements. Measurement, 40(9), 936–942.Google Scholar
  17. Ertmer, P. A., & Newby, T. J. (1993). Behaviorism, cognitivism, constructivism: Comparing critical features from an instructional design perspective. Performance Improvement Quarterly, 6(4), 50–72.Google Scholar
  18. Gallese, V., Fadiga, L., Fogassi, L., & Rizzolatti, G. (1996). Action recognition in the premotor cortex. Brain, 119(2), 593–609.Google Scholar
  19. Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. New York: Basic Books.Google Scholar
  20. Gluck, M. A., Mercado, E., & Myers, C. E. (2008). Learning and memory: From brain to behavior. New York: Worth Publishers.Google Scholar
  21. Green, C. S., & Bavelier, D. (2008). Exercising your brain: A review of human brain plasticity and training-induced learning. Psychology and Aging, 23(4), 692.Google Scholar
  22. Hawkins, J., & Blakeslee, S. (2004). On intelligence. New York: Times Books.Google Scholar
  23. Heersmink, R., & Knight, S. (2018). Distributed learning: Educating and assessing extended cognitive systems. Philosophical Psychology, 31(6), 969–990.Google Scholar
  24. Hollerman, J. R., & Schultz, W. (1998). Dopamine neurons report an error in the temporal prediction of reward during learning. Nature Neuroscience, 1(4), 304.Google Scholar
  25. Iacoboni, M., Molnar-Szakacs, I., Gallese, V., Buccino, G., Mazziotta, J. C., & Rizzolatti, G. (2005). Grasping the intentions of others with one’s own mirror neuron system. PLoS Biology, 3(3), e79.Google Scholar
  26. Immordino-Yang, M. H., & Damasio, A. (2007). We feel, therefore we learn: The relevance of affective and social neuroscience to education. Mind, Brain, and Education, 1(1), 3–10.Google Scholar
  27. Immordino-Yang, M. H. (2008). The smoke around mirror neurons: Goals as sociocultural and emotional organizers of perception and action in learning. Mind, Brain, and Education, 2(2), 67–73.Google Scholar
  28. Immordino-Yang, M. H. (2016). Emotion, sociality, and the brain’s default mode network: Insights for educational practice and policy. Policy Insights from the Behavioral and Brain Sciences, 3(2), 211–219.Google Scholar
  29. Immordino-Yang, M. H., & Gotlieb, R. (2017). Embodied brains, social minds, cultural meaning. American Educational Research Journal, 54(1_suppl), 344S–367S.Google Scholar
  30. Kanai, R., Feilden, T., Firth, C., & Rees, G. (2011). Political orientations are correlated with brain structure in young adults. Current Biology, 21(8), 677–680.Google Scholar
  31. Kelso, J. S. (1997). Dynamic patterns: The self-organization of brain and behavior. Cambridge: MIT Press.Google Scholar
  32. Konvalinka, I., & Roepstorff, A. (2012). The two-brain approach: How can mutually interacting brains teach us something about social interaction? Frontiers in Human Neuroscience, 6, 215.Google Scholar
  33. Lin, L. (2009). Breadth-biased versus focused cognitive control in media multitasking behaviors. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 106(37), 15521–15522.Google Scholar
  34. Lin, L., & Parsons, T. D. (2018). Ecologically valid assessments of attention and learning engagement in media multitaskers. TechTrends, 62(5), 518–524.Google Scholar
  35. Lui, K. F., & Wong, A. C. (2012). Does media multitasking always hurt? A positive correlation between multitasking and multisensory integration. Psychonomic Bulletin & Review, 19(4), 647–653.Google Scholar
  36. Mansbach, J. (2015). Using technology to develop students’ critical thinking skills. Northwestern School of Professional Learning: Distance learning. Retrieved August 16, 2018, from
  37. Maynard, L. (2006). The role of repetition in the practice sessions of artist teachers and their students. Bulletin of the Council for Research in Music Education, 167, 61–72.Google Scholar
  38. McMahan, T., Parberry, I., & Parsons, T. D. (2015). Modality specific assessment of video game player’s experience using the Emotiv. Entertainment Computing, 7, 1–6.Google Scholar
  39. Mills, C., Graesser, A., Risko, E. F., & D’Mello, S. K. (2017). Cognitive coupling during reading. Journal of Experimental Psychology: General, 146(6), 872–883.Google Scholar
  40. Misyak, J. B., Christiansen, M. H., & Bruce Tomblin, J. (2010). Sequential expectations: The role of prediction-based learning in language. Topics in Cognitive Science, 2(1), 138–153.Google Scholar
  41. Oberman, L. M., Pineda, J. A., & Ramachandran, V. S. (2007). The human mirror neuron system: A link between action observation and social skills. Social Cognitive and Affective Neuroscience, 2(1), 62–66.Google Scholar
  42. Ophir, E., Nass, C., & Wagner, A. D. (2009). Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences, 106(37), 15583–15587.Google Scholar
  43. Papic, M., Mulligan, J., & Mitchelmore, M. (2011). Assessing the development of pre-schoolers’ mathematical patterning. Journal for Research in Mathematics Education, 42(3), 237–268.Google Scholar
  44. Parsons, T. D. (2015). Virtual reality for enhanced ecological validity and experimental control in the clinical, affective, and social neurosciences. Frontiers in Human Neuroscience, 9, 660.Google Scholar
  45. Parsons, T. D. (2016). Clinical neuropsychology and technology: What’s new and how we can use it. New York: Springer.Google Scholar
  46. Parsons, T. D. (2017). Cyberpsychology and the brain: The interaction of neuroscience and affective computing. Cambridge: Cambridge University Press.Google Scholar
  47. Parsons, T. D. (in press). Ethical challenges in digital psychology and cyberpsychology. Cambridge: Cambridge University Press.Google Scholar
  48. Parsons, T. D., Carlew, A. R., Magtoto, J., & Stonecipher, K. (2017). The potential of function-led virtual environments for ecologically valid measures of executive function in experimental and clinical neuropsychology. Neuropsychological Rehabilitation, 37(5), 777–807.Google Scholar
  49. Parsons, T. D., Gagglioli, A., & Riva, G. (2017). Virtual environments in social neuroscience. Brain Sciences, 7(42), 1–21.Google Scholar
  50. Parsons, T. D., & Kane, R. L. (2017). Computational neuropsychology: Current and future prospects for interfacing neuropsychology and technology. In R. Kane & T. D. Parsons (Eds.), The role of technology in clinical neuropsychology (pp. 471–482). Oxford: Oxford University Press.Google Scholar
  51. Parsons, T. D., McMahan, T., & Parberry, I. (in press). Neurogaming-based classification of player experience using consumer-grade electroencephalography. IEEE Transactions on Affective Computing.Google Scholar
  52. Parsons, T. D., & Phillips, A. (2016). Virtual reality for psychological assessment in clinical practice. Practice Innovations, 1, 197–217.Google Scholar
  53. Parsons, T. D., Riva, G., Parsons, S., Mantovani, F., Newbutt, N., Lin, L., et al. (2017). Virtual reality in pediatric psychology: Benefits, challenges, and future directions. Pediatrics, 140, 86–91.Google Scholar
  54. Pea, R., Nass, C., Meheula, L., Rance, M., Kumar, A., Bamford, H., et al. (2012). Media use, face-to-face communication, media multitasking, and social well-being among 8- to 12-year-old girls. Developmental Psychology, 48(2), 327–336.Google Scholar
  55. Phillips, D. C., & Soltis, J. F. (2009). Perspectives on learning. Thinking about education (5th ed.). New York: Teachers College Press.Google Scholar
  56. Piaget, J. (1964). Part I: Cognitive development in children: Piaget development and learning. Journal of Research in Science Teaching, 2(3), 176–186.Google Scholar
  57. Piaget, J., & Kamii, C. (1978). What is psychology? American Psychologist, 33(7), 648–652.Google Scholar
  58. Poldrack, R. A., & Foerde, K. (2007). Category learning and the memory systems debate. Neuroscience and Biobehavioral Reviews, 32, 197–205.Google Scholar
  59. Posner, M. I., & Rothbart, M. K. (2007). Research on attention networks as a model for the integration of psychological science. Annual Review of Psychology, 58(1), 1–23.Google Scholar
  60. Ramachandran, V. S. (2000). Mirror neurons and imitation learning as the driving force behind “the great leap forward” in human evolution, Edge Website article. Retrieved from
  61. Ramachandran, V. S., & Oberman, L. M. (2006). Broken mirrors: A theory of autism. Scientific American, 295(5), 62–69.Google Scholar
  62. Roschelle, J., Ahn, J., Asbell-Clark, J., Berland, M., Chase, C., Enyedy, N., et al. (2017). Cyberlearning Community Report: The state of cyberlearning and the future of learning with technology. Menlo Park, CA: SRI International.Google Scholar
  63. Schilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R., & Vogeley, K. (2008). Minds at rest? Social cognition as the default mode of cognizing and its putative relationship to the “default system” of the brain. Consciousness and Cognition, 17(2), 457–467.Google Scholar
  64. Schwartz, D. L., Tsang, J. T., & Blair, K. P. (2016). The ABCs of how we learn: 26 scientifically proven approaches, how they work, and when to use them. New York: W. W. Norton.Google Scholar
  65. Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2(1), 3–10.Google Scholar
  66. Silverman, A. (2014). Plato’s middle period metaphysics and epistemology. In E. N. Zalta (Ed.), The Stanford encyclopedia of philosophy.Google Scholar
  67. Small, G. W., Moody, T. D., Siddarth, P., & Bookheimer, S. Y. (2009). Your brain on google: Patterns of cerebral activation during internet searching. The American Journal of Geriatric Psychiatry, 17(2), 116–126.Google Scholar
  68. Tilus, G. (2012). Six critical thinking skills you need to master now. Rasmussen College Blogs. Retrieved January 14, 2018, from
  69. Trilling, B., & Fadel, C. (2009). 21st century skills: Learning for life in our times. San Francisco: Wiley.Google Scholar
  70. U.S. Department of Education. (2017a). Every Student Succeeds Act. U.S. Department of Education. Retrieved January 14, 2018, from
  71. U.S. Department of Education. (2017b). Reimagining the role of technology in education: National Education Technology Plan Update. Retrieved January 14, 2018, from
  72. Uncapher, M. R., Lin, L., Rosen, L. D., Kirkorian, H. L., Baron, N. S., Bailey, K., et al. (2017). Media multitasking and cognitive, psychological, neural, and learning differences. Pediatrics, 140(Supplement 2), S62–S66.Google Scholar
  73. Vygotsky, L. S. (1978). Interaction between Learning and Development. In M. Cole, V. John-Steiner, S. Scribner, & E. Souberman (Eds.), Mind in society: The development of higher psychological processes. Cambridge: Harvard University Press.Google Scholar
  74. Vygotsky, L. S. (1986). Thought and language (Abridged from 1934; A. Kozulin, Trans.). Cambridge: MIT Press.Google Scholar
  75. Wheeler, M. (2011). Thinking beyond the brain: Educating and building, from the standpoint of extended cognition. Computational Cultures, 1.Google Scholar
  76. Wineburg, S. (2001). Historical thinking and other unnatural acts: Charting the future of teaching the past. Philadelphia: Temple University Press.Google Scholar

Copyright information

© Association for Educational Communications and Technology 2019

Authors and Affiliations

  • Lin Lin
    • 1
    Email author
  • Thomas D. Parsons
    • 2
  • Deborah Cockerham
    • 3
  1. 1.University of North TexasDentonUSA
  2. 2.College of InformationUniversity of North Texas, Computational Neuropsychology and SimulationDentonUSA
  3. 3.Department of Learning TechnologiesFort Worth Museum of Science and History, University of North TexasFort WorthUSA

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