Abstract
To optimize the benefits of game-based practice within Intelligent Tutoring Systems (ITSs), researchers examine how game features influence students’ motivation and performance. The current study examined the influence of game features and individual differences (reading ability and learning intentions) on motivation and performance. Participants (n = 58) viewed lesson videos in iSTART-2, an ITS designed to improve reading comprehension skills, and practiced with either a game-like activity or a minimally game-like activity. No main effects of game environment were observed. However, there was an interaction between game environment and pretest learning intentions in predicting students’ self-reported effort. The correlation between learning intentions and self-reported effort was not significant for students who practiced with the more game-like activity, whereas it was for students who practiced in the less game-like activity. We discuss the implications for this interaction and how it might drive future research.
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References
Steenbergen-Hu, S., Cooper, H.: A meta-analysis of the effectiveness of intelligent tutoring systems on college students’ academic learning. Journal of Educational Psychology 106, 331–347 (2014)
D’Mello, S., Olney, A., Williams, C., Hays, P.: Gaze tutor: A gaze-reactive intelligent tutoring system. International Journal of Human-Computer Studies 70, 377–398 (2012)
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 Roleplaying as a Motivator of Study. IGI Global, Hershey (2010)
Wouters, P., van Nimwegen, C., van Oostendorp, H., van der Spek, E.D.: A meta-analysis of the cognitive and motivational effects of serious games. Journal of Educational Psychology 105, 249–265 (2013)
Gros, B.: Digital games in education: The design of games-based learning environments. Journal of Research on Technology in Education 40, 23–38 (2007)
Jackson, G.T.: Varner (Allen), L.K., Boonthum-Denecke, C., McNamara, D.S.: The Impact of individual differences on learning with an educational game and a traditional ITS. International Journal of Learning Technology 8, 315–336 (2013)
Jackson, G.T., McNamara, D.S.: Motivation and performance in a game-based intelligent tutoring system. Journal of Educational Psychology 105, 1036–1049 (2013)
Boekaerts, M.: The on-line motivation questionnaire: A self-report instrument to assess students’ context sensitivity. New Directions in Measures and Methods 12, 77–120 (2002)
Jackson, G.T., Guess, R.H., McNamara, D.S.: Assessing cognitively complex strategy use in an untrained domain. Topics in Cognitive Science 2, 127–137 (2010)
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Jacovina, M.E., Snow, E.L., Jackson, G.T., McNamara, D.S. (2015). Game Features and Individual Differences: Interactive Effects on Motivation and Performance. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_81
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DOI: https://doi.org/10.1007/978-3-319-19773-9_81
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