Scaffolding individual and collaborative game-based learning in learning performance and intrinsic motivation

Ching-Huei Chen, Victor Law

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Although the proponents of game-based learning argue that educational games engage students and afford better learning outcomes, the impact of educational games on motivation and learning performance is still unclear. Research suggested that the addition of scaffolds in computer-supported environments may improve students' learning. Therefore, this study examined the effects of scaffolding on secondary students' individual and collaborative game-based learning. A total of 254 secondary school students from eight different classes participated in the study and they were randomly assigned to four conditions: (a) individual-control (IC), (b) individual-scaffold (IS), (c) collaborative-control (CC), and (d) collaborative-scaffold (CS). The results of the structural equation modeling revealed that scaffolding had an impact on students' motivation and learning performance. In addition, hard scaffolding moderated the relationship between soft scaffolding and students' learning performance. The results provided empirical supports for the use of collaborative game-based learning environments. However, in order to maximize the effects of collaborative game-based learning, hard scaffolds should also be introduced to guide students' learning experience. This study offers directions in designing scaffolding in game-based learning environments.

Original languageEnglish
Pages (from-to)1201-1212
Number of pages12
JournalComputers in Human Behavior
Volume55
DOIs
Publication statusPublished - 2016 Feb 1

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Motivation
Learning
Students
Scaffolds
Scaffolding
Intrinsic Motivation
Student Learning
Research

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • Psychology(all)

Cite this

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Scaffolding individual and collaborative game-based learning in learning performance and intrinsic motivation. / Chen, Ching-Huei; Law, Victor.

In: Computers in Human Behavior, Vol. 55, 01.02.2016, p. 1201-1212.

Research output: Contribution to journalArticle

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