When Playing Meets Learning: Methodological Framework for Designing Educational Games

  • Stephanie B. Linek
  • Daniel Schwarz
  • Matthias Bopp
  • Dietrich Albert
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 45)


Game-based learning builds upon the idea of using the motivational potential of video games in the educational context. Thus, the design of educational games has to address optimizing enjoyment as well as optimizing learning. Within the EC-project ELEKTRA a methodological framework for the conceptual design of educational games was developed. Thereby state-of-the-art psycho-pedagogical approaches were combined with insights of media-psychology as well as with best-practice game design. This science-based interdisciplinary approach was enriched by enclosed empirical research to answer open questions on educational game-design. Additionally, several evaluation-cycles were implemented to achieve further improvements. The psycho-pedagogical core of the methodology can be summarized by the ELEKTRA’s 4Ms: Macroadaptivity, Microadaptivity, Metacognition, and Motivation. The conceptual framework is structured in eight phases which have several interconnections and feedback-cycles that enable a close interdisciplinary collaboration between game design, pedagogy, cognitive science and media psychology.


Game-based learning Methodology Microadaptivity Media psychology 


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  1. 1.
    Vorderer, P., Bryant, J.: Playing video games. Motives, responses, and consequences. Lawrence Elbaum Associates, New Jersey (2006)Google Scholar
  2. 2.
    Salen, K., Zimmerman, E.: Rules of play. Game design fundamentals. MIT Press, Cambridge (2004)Google Scholar
  3. 3.
    Prensky, M.: Computer games and learning: Digital game-based learning. In: Raessens, J., Goldstein, J. (eds.) Handbook of computer game studies, pp. 97–122. MIT Press, Cambidge (2005)Google Scholar
  4. 4.
    Brown, A., Green, T.D.: The essentials of instructional design. Connecting fundamental principles with process and practice. Pearson/Merrill Prentice Hall, Upper Saddle River (2006)Google Scholar
  5. 5.
    Dick, W., Carey, L., Carey, J.O.: The systematic design of instruction, 6th edn. Pearson/Allyn & Bacon, Boston (2005)Google Scholar
  6. 6.
    Bloom, B.: Taxonomy of educational objectives. In: Handbook I: The cognitive domain. David McKay Co. Inc., New York (1956)Google Scholar
  7. 7.
    Albert, D., Hockemeyer, C., Kickmeier-Rust, M.D., Pierce, N., Conlan, O.: Microadaptivity within complex learning situations – a personalized approach based on competence structures and problem spaces. Poster presented on the International Conference on Computers in Education (2007)Google Scholar
  8. 8.
    Albert, D., Lukas, J. (eds.): Knowledge spaces: theories, empirical research, and applications. Lawrence Erlbaum Associates, Mahwah (1999)Google Scholar
  9. 9.
    Doignon, J.P., Falmagne, J.C.: Knowledge spaces. Springer, Berlin (1999)zbMATHGoogle Scholar
  10. 10.
    Korossy, K.: Extending the theory of knowledge spaces: A competence-performance approach. Zeitschrift für Psychologie 205, 53–82 (1997)Google Scholar
  11. 11.
    Flavell, J.H.: Metacognitive aspects of problem solving. In: Resnick, L.B. (ed.) The nature of intelligence, pp. 231–236. Lawrence Erlbaum Associates, New Jersey (1976)Google Scholar
  12. 12.
    Csikszentmihalyi, M.: Flow: The psychology of optimal experience. Harper & Collins, New York (1990)Google Scholar
  13. 13.
    Linek, S.: Creating flow in game-based learning: Threefold conception of challenges and skills. In: Proceedings of the International Technology, Education and Development Conference (2007)Google Scholar
  14. 14.
    Linek, S., Schwarz, D., Hirschberg, G., Kickmeier-Rust, M., Albert, D.: Designing the non-player character of an educational adventure-game: the role of personality, naturalism, and color. In: Proceedings of the International Technology, Education and Development Conference (2007)Google Scholar
  15. 15.
    Linek, S.B., Marte, B., Albert, D.: The differential use and effective combination of questionnaires and logfiles. In: Proceedings of the International Conference on Interactive Computer Aided Learning, Special Track Computer-based Knowledge & Skill Assessment and Feedback in Learning Settings (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Stephanie B. Linek
    • 1
  • Daniel Schwarz
    • 2
  • Matthias Bopp
    • 3
  • Dietrich Albert
    • 1
  1. 1.Institut of PsychologyUniversity of GrazGrazAustria
  2. 2.Takomat GmbHCologneGermany
  3. 3.Center for Advanced Imaging, Brain Research InstitutUniversity of BremenBremenGermany

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