The format of problem representation for in‐game learning supports. (29th January 2019)

• Record Type: Journal Article
• Authors: Lee, Sungwoong; Ke, Fengfeng
• Is Part Of: Journal of computer assisted learning. Volume 35:Number 3(2019)
• Page Start: 390
• Page End: 406
• Publication Date: 2019-01-29
• Subjects: K–12 -- learning support design -- math learning game -- problem representation; Computer-assisted instruction -- Periodicals; 371.334
• DOI: 10.1111/jcal.12345
• Languages: English
• ISSNs: 0266-4909

Abstract

Abstract: A promising method to support game‐based learning is to facilitate learners' externalization of cognitive and metacognitive processes. Externalizing Problem Representation (EPR) refers to a cognitive behaviour in which a learner constructs her own representations overtly. The purpose of this study is to investigate whether learning supports promoting EPR enhance qualitative understanding and quantitative proficiency in ratios and proportional relationships in a learning game (i.e., E‐Rebuild) context. Specifically, this study investigated the effects of representation format in problem representation on qualitative understanding and quantitative proficiency in a learning game context. The results of this study indicate that (a) symbolic learning supports better facilitate comprehension of math concepts and their relations than iconic learning supports in video game contexts, (b) symbolic learning supports better facilitate players' reflection for implicit understanding and promote their math problem‐solving skills, (c) participants in the symbolic learning support group increased significantly in qualitative understanding but not in quantitative proficiency after gameplay, and (d) participants in the iconic learning support group experienced significant growth in quantitative proficiency but not in qualitative understanding after gameplay. Lay Description: What is already known about this topic: Video games potentially facilitate implicit qualitative understanding more than quantitative knowledge test performance. Educational game designers lack a good understanding of the design and development of effective learning supports in educational games. What this paper adds: Symbolic learning supports for problem representation better facilitate comprehension of math concepts and their relations than iconic learning supports in video game contexts. Participants experienced significant growth in quantitative proficiency after they processed the iconic in‐game learning supports in game‐based math tasks. Participants' qualitative understanding in the symbolic learning support group increased significantly after playing E‐Rebuild‐based math game task . Implications for practice and/or policy: This study informs scholars and designers of game‐based learning about designing learning support and its properties in video game contexts: Learning support design to promote math problem representation across problem translation and problem integration. This study provides design principles for learning supports in math learning game; symbolic learning supports facilitate qualitative understanding whereas iconic learning supports facilitate quantitative proficiency in math learning game.