Game-based constructivist learning has gained considerable attention as educational institutions aim to move from traditional instructional teaching to interactive and collaborative methods. The question is less asked of whether games should be used in teaching but rather how games should be used to create deep learning in students. In light of this movement, the Grade Inflation Game, or GIGAME, was developed. This case study tackles the research question of how games may be designed to harness the benefits of constructivist learning. It first documents the conceptualization of GIGAME and next proposes theoretical frameworks that can be used to guide the development and evaluation of constructivist learning games. Through trial runs on two undergraduate law of torts classes, feedback was gathered from students and the instructor of these classes regarding their perceptions of GIGAME, including learning effectiveness and satisfaction. The feedback suggests that GIGAME can serve as a form of game-based constructivist learning as most students indicated that the game helped consolidate their course knowledge while having fun. These qualitative findings are useful for guiding the development of other games that similarly aim to promote socially interactive and constructivist learning environments. This case study recommends the use of GIGAME in classes, although refinements can still be made to its gameplay.
Deep Learning, Constructivist Learning, Board Game, Educational Game, Qualitative Case Study
Art and Design | Educational Methods | Education Law
Corporate, Finance and Securities Law
Research and Practice in Technology Enhanced Learning
World Scientific Publishing / SpringerOpen
CHAN, Gary Kok Yew; TAN, Swee Liang; HEW, Timothy Khe Foon; KOH, Bernie Grayson; LIM, Li Siong; and YONG, Jose C..
Knowledge for games, games for knowledge: Designing a digital roll-and-move board game for a law of torts class. (2017). Research and Practice in Technology Enhanced Learning. 12, (7), 1-20. Research Collection School Of Law.
Available at: http://ink.library.smu.edu.sg/sol_research/1824
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