Short and Long Term Benefits of Enjoyment and Learning within a Serious Game
Intelligent Tutoring Systems (ITSs) have been used for decades to teach students domain content or strategies. ITSs often struggle to maintain students’ interest and sustain a productive practice environment over time. ITS designers have begun integrating game components as an attempt to engage learners and maintain motivation during prolonged interactions. Two studies were conducted to investigate enjoyment and performance at short-term (90 minutes) and long-term (3 weeks) timescales. The short-term study (n=34) found that students in a non-game practice condition performed significantly better and wrote more than the game-based practice. However, the long-term study (n=9) found that when students were in the game-based environment they produced longer contributions than when in the non-game version. Both studies revealed trends that the game-based system was slightly more enjoyable, though the differences were not significant. The different trends across studies indicate that games may contribute to an initial decrease in performance, but that students are able to close this gap over time.
KeywordsSerious Games Intelligent Tutoring Systems game-based learning
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- 1.Newell, A., Rosenbloom, P.: Mechanisms of skill acquisition and the law of practice. In: Anderson, J.R. (ed.) Cognitive Skills and their Acqusition, pp. 1–55. Hillsdale, NJ (1981)Google Scholar
- 2.Koedinger, K.R., Corbett, A.T.: Cognitive Tutors: Technology bringing learning science to the classroom. In: Sawyer, K. (ed.) The Cambridge Handbook of the Learning Sciences, pp. 61–78. Cambridge University Press, Cambridge (2006)Google Scholar
- 3.Bell, C., McNamara, D.S.: Integrating iSTART into a high school curriculum. In: Proceedings of the 29th Annual Meeting of the Cognitive Science Society, Cognitive Science Society, Austin (2007)Google Scholar
- 4.McNamara, D.S., Jackson, G.T., Graesser, A.C.: Intelligent tutoring and games (ITaG). In: Baek, Y.K. (ed.) Gaming for Classroom-Based Learning: Digital Role-Playing as a Motivator of Study. IGI Global (2010)Google Scholar
- 9.Jackson, G.T., Dempsey, K.B., McNamara, D.S.: The evolution of an automated reading strategy tutor: From classroom to a game-enhanced automated system. In: Khine, M.S., Saleh, I.M. (eds.) New Science of Learning: Cognition, Computers and Collaboration in Education, pp. 283–306. Springer, New York (2010)CrossRefGoogle Scholar
- 12.McNamara, D.S., Boonthum, C., Levinstein, I.B., Millis, K.: Evaluating self-explanations in iSTART: comparing word-based and LSA algorithms. In: Landauer, T., McNamara, D.S., Dennis, S., Kintsch, W. (eds.) Handbook of Latent Semantic Analysis, pp. 227–241. Erlbaum, Mahwah (2007)Google Scholar
- 16.Gee, J.P.: What video games have to teach us about learning and literacy. Palgrave MacMillian, New York (2003)Google Scholar