A Neuroscience Based Approach to Game Based Learning Design

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10056)


In recent years designing a game for education has become very popular. Neuroscience has developed many theories of learning, based on how brain learns. We discuss a design approach for conventional teaching methods. The proposed approach illustrates the opportunities to exploit the concept of neuroscience and combine it with game for educational purpose. The pedagogies based on neuroscience and psychology have been adapted in teaching very well and the same is expected to work well with Game Based Learning (GBL).


Cognitive Load Classroom Teaching Online Forum Learn Cycle Educational Game 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Prensky, M.: Engage me or enrage me. Educ. Rev. 40(5), 61–64 (2005)Google Scholar
  2. 2.
    Scientists, F.: Harnessing the Power of Video Games for Learning. Summit on Educational Games (2006)Google Scholar
  3. 3.
    Gee, J.P.: What video games have to teach us about learning and literacy. Comput. Entertain. (CIE) 1(1), 20 (2003)CrossRefGoogle Scholar
  4. 4.
    Prensky, M.: Digital Game-Based Learning. McGraw-Hill, New York (2001)Google Scholar
  5. 5.
    De Aguilera, M., Mendiz, A.: Video games and education: (education in the face of a “parallel school”). Comput. Entertain. (CIE) 1(1) (2003)Google Scholar
  6. 6.
    Tang, S., Hanneghan, M., El Rhalibi, A.: Introduction to games-based learning. In: Games Based Learning Advancements for Multi-Sensory Human Computer Interfaces, pp. 1–17. IGI Global, New York (2009)Google Scholar
  7. 7.
    Jenkins, H., Klopfer, E., Squire, K., Tan, P.: Entering the education arcade. Comput. Entertain. (CIE) 1(1), 8 (2003)CrossRefGoogle Scholar
  8. 8.
    Michael, D.R., Chen, S.L.: Serious Games: Games That Educate, Train, and Inform. Muska & Lipman/Premier-Trade, Boston (2005)Google Scholar
  9. 9.
    Hunicke, R., LeBlanc M., and Zubek R.: MDA: a formal approach to game design and game research. In: Proceedings of the AAAI Workshop on Challenges in Game AI, vol. 4. (2004)Google Scholar
  10. 10.
    Fullerton, T.: Game Design Workshop: A Playcentric Approach to Creating Innovative Games. CRC Press, New York (2014)Google Scholar
  11. 11.
    Hendel, R., Oughton, K., Pickthorn, T., Schilling, M., Versiglia, G.: The Neuroscience of Learning: A New Paradigm for Corporate Education (2011)Google Scholar
  12. 12.
    Zull, J.E.: The art of changing the brain. Enriching Teaching by Exploring the Biology of Learning, pp. 14–29. Stylus Publishing, LLC, Sterling (2002)Google Scholar
  13. 13.
    Hebb, D.O.: The Organization of Behavior: A Neuropsychological Theory. Psychology Press, New York (2002)Google Scholar
  14. 14.
    Lieberman, M.D., Eisenberger, N.I.: The pains and pleasures of social life: a social cognitive neuroscience approach. Neuro-Leadersh. J. 1, 1–9 (2008)Google Scholar
  15. 15.
    Howard-Jones, P., Ott, M., Van Leeuwen, T., De Smedt, B.: Neuroscience and Technology Enhanced Learning. FutureLab, Bristol (2010)Google Scholar
  16. 16.
    Dillenbourg, P.: What do you mean by collaborative learning. Collab.-Learn. Cogn. Comput. Approach. 1, 1–15 (1999)Google Scholar
  17. 17.
    Gokhale, A.A.: Collaborative learning enhances critical thinking. J. Technol. Educ. 7 (1995)Google Scholar
  18. 18.
    LeDoux, J.E.: Emotion circuits in the brain. Annu. Rev. Neurosci. 23, 155–184 (2000)CrossRefGoogle Scholar
  19. 19.
    Goleman, D.: Emotional Intelligence: Why It Can Matter More Than IQ. Bantam, New York (1995)Google Scholar
  20. 20.
    Cytowic, R.E.: The Neurological Side of Neuropsychology. MIT Press, Cambridge (1996)Google Scholar
  21. 21.
    Wolfe, P.: Revisiting effective teaching. Educ. Leaders. 56(3), 61–64 (1998)MathSciNetGoogle Scholar
  22. 22.
    Baddeley, A., Hitch, G.J.: Working memory. Scholarpedia 5(2), 3015 (2010)CrossRefGoogle Scholar
  23. 23.
    Mayer, R.: Multimedia learning. Psychol. Learn. Motiv. 41, 85–139 (2002)CrossRefGoogle Scholar
  24. 24.
    Kim, R.S., Seitz, A.R.: Shams. L.: Benefits of stimulus congruency for multisensory facilitation of visual learning. PLoS One 31, e1532 (2008)CrossRefGoogle Scholar
  25. 25.
    McCartney, M.: Game on for pokémon go. BMJ 354, i4306 (2016)CrossRefGoogle Scholar
  26. 26.
    Serino, M., Cordrey, K., McLaughlin, L., Milanaik, R.L.: Pokémon Go and augmented virtual reality games: a cautionary commentary for parents and pediatricians. Curr. Opin. Pediatr. 28(5), 673–677 (2016)CrossRefGoogle Scholar
  27. 27.
    Missura, O., dynamic difficulty adjustment. Dissertation, Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn (2015)Google Scholar
  28. 28.
    Bellotti, F., Kapralos, B., Lee, K., Moreno-Ger, P., Berta, R.: Assessment in and of serious games: an overview. Adv. Hum.-Comput. Interact. 2013, 1 (2013)Google Scholar
  29. 29.
    Plotnikov, A., Stakheika, N., De Gloria, A., Schatten, C., Bellotti, F., Berta, R., Fiorini, C., Ansovini, F.: Exploiting real-time EEG analysis for assessing flow in games. In: 2012 IEEE 12th International Conference on Advanced Learning Technologies, IEEE (2012)Google Scholar
  30. 30.
    Berta, R., Bellotti, F., De Gloria, A., Pranantha, D., Schatten, C.: Electroencephalogram and physiological signal analysis for assessing flow in games. IEEE Trans. Comput. Intell. AI Games 5(2), 164–175 (2013)CrossRefGoogle Scholar
  31. 31.
    Ninaus, M., Kober, S.E., Friedrich, E.V., Dunwell, I., De Freitas, S., Arnab, S., Ott, M., Kravcik, M., Lim, T., Louchart, S., Bellotti, F.: Neurophysiological methods for monitoring brain activity in serious games and virtual environments: a review. Int. J. Technol. Enhanc. Learn. 6(1), 78–103 (2014)CrossRefGoogle Scholar
  32. 32.
    Howard-Jones, P., Holmes, W., Demetriou, S., Jones, C., Tanimoto, E., Morgan, O., Perkins, D., Davies, N.: Neuroeducational research in the design and use of a learning technology. Learn. Media Technol. 40(2), 227–246 (2015)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Elios Lab, DITENUniversity of GenoaGenoaItaly

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