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Not just fun, but serious strategies: Using meta-cognitive strategies in game-based learning
ARTICLE

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Computers & Education Volume 52, Number 4, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

The purpose of this study is to explore the effects of the meta-cognitive strategies on the academic and gaming achievements. Exploring the effects of those achievements on the social problem solving of students is also of interest. For this purpose, the MMORPG Gersang was used. The participants, consisting of ninth graders, played the game until they all reached the third level to ensure that they have the same gaming ability prior to gaming for the study. Three meta-cognitive strategies were developed: self-recording, modeling and thinking aloud. Those strategies are specially related to gaming activities and applied in pre-gaming activities, gaming activities, and post-gaming activities. Three meta-cognitive strategies were set as independent variables. The social problem solving ability was set as a mediating variable, and academic achievement and scores in the game were chosen as dependent variables. The path between meta-cognitive strategies and both academic achievement and game performance by mediating social problem solving abilities were discovered. The social problem solving ability, which is the mediating variable, affects the academic achievement and the game performance very strongly. These results imply that a commercial game playing in conjunction with meta-cognitive strategies can be an effective way to increase students’ performance both in learning and gaming by keeping them involved. Talking and observation activities such as thinking aloud and modeling are more effective than writing activities in enhancing the students’ achievements both in learning and gaming.

Citation

Kim, B., Park, H. & Baek, Y. (2009). Not just fun, but serious strategies: Using meta-cognitive strategies in game-based learning. Computers & Education, 52(4), 800-810. Elsevier Ltd. Retrieved November 12, 2019 from .

This record was imported from Computers & Education on January 31, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2008.12.004

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