You are here:

Designing and Integrating Purposeful Learning in Game Play: A Systematic Review
ARTICLE

Educational Technology Research and Development Volume 64, Number 2, ISSN 1042-1629

Abstract

Via a systematic review of the literature on learning games, this article presents a systematic discussion on the design of intrinsic integration of domain-specific learning in game mechanics and game world design. A total of 69 articles ultimately met the inclusion criteria and were coded for the literature synthesis. Exemplary learning games cited in the articles reviewed and developed by credible institutions were also analyzed. The cumulative findings and propositions of the game-based learning-play integration have been extracted and synthesized into five salient themes to clarify "what," "how," "where," and "when" learning and content are embedded in and activated by gameplay. These themes highlight: (a) the types of game-based learning action--prior-knowledge activation and novel-knowledge acquisition, (b) the modes in which learning actions are integrated in game actions--representation, simulation, and contextualization, (c) the blended learning spaces contrived by game mechanics and the game world, (d) the occurrence of meta-reflective and iterative learning moments during game play, and (e) the multifaceted in-game learning support (or scaffolding). Future directions for the design and research of learning integration in digital games are then proposed.

Citation

Ke, F. (2016). Designing and Integrating Purposeful Learning in Game Play: A Systematic Review. Educational Technology Research and Development, 64(2), 219-244. Retrieved July 23, 2019 from .

This record was imported from ERIC on January 10, 2019. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

Cited By

View References & Citations Map

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.