IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Methodological Approach to Analyzing Digital Game-Based FL Use and Learning: The Diamond Reconstruction Model

A Methodological Approach to Analyzing Digital Game-Based FL Use and Learning: The Diamond Reconstruction Model
View Sample PDF
Author(s): Karim Hesham Shaker Ibrahim (Miami University, USA)
Copyright: 2022
Pages: 22
Source title: Research Anthology on Developments in Gamification and Game-Based Learning
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3710-0.ch010

Purchase


Abstract

The potential of digital gaming to facilitate foreign language (FL) learning has been established in many empirical investigations; however, the pedagogical implications of these investigations remain rather limited. A potential reason for this limitation is that the FL learning potential of digital games is embedded in the gaming ecology and shaped by different forces in that ecology. However, to date most empirical studies in the field have focused primarily on the linguistic behavior of gamers rather than the gaming ecology. A potential reason for this is the lack of a robust methodological approach to examining game-based language use as an ecological, multidimensional activity. To address this research gap, this chapter proposes the diamond reconstruction model, a dynamic, multidimensional, and ecology-sensitive approach to de- and re-constructing game-based FL use. Grounded in theories of gameplay, and informed by a conceptual model of game-based FL use, the model reconstructs gameplay episodes by gathering detail-rich data on social, cognitive, and virtual dimensions.

Related Content

Vivek Ahuja. © 2024. 21 pages.
Minna-Maarit Jaskari, Henna Syrjälä. © 2024. 28 pages.
Andrew M. Blick. © 2024. 21 pages.
Alba González Moreno. © 2024. 17 pages.
Ana Belén Ruiz-Muelle. © 2024. 26 pages.
Alejandro Galindo Durán, Raquel Sánchez Fuentes. © 2024. 27 pages.
Alejandro Galindo Durán. © 2024. 31 pages.
Body Bottom