The effects of game quality and cognitive loads on students’ learning performance in mobile game-based learning contexts: The case of system analysis education

Yi Chun Liu, Wei Tsong Wang, Wen Hsin Huang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Prior research has demonstrated the advantages of applying mobile game-based learning (MGBL) applications to supporting students’ learning. However, studies that specifically examine the effects of game quality and different types of cognitive loads on learning effectiveness in MGBL contexts are scarce. Therefore, this study aims to address this research gap by developing and validating a research model of cognitive loads and learning performance in MGBL contexts. Data collected from 130 college students who were asked to use an MGBL application developed specifically for this study were analyzed to validate the research model. The results indicate that both game quality of MGBL applications and extraneous cognitive load of the users of the MGBL application have significant effects on their perceived and actual learning effectiveness, while their germane cognitive load significantly influences their perceived learning effectiveness only. Implications for theory and for practice of the research results are discussed subsequently.

Original languageEnglish
Pages (from-to)16285-16310
Number of pages26
JournalEducation and Information Technologies
Volume28
Issue number12
DOIs
Publication statusPublished - 2023 Dec

All Science Journal Classification (ASJC) codes

  • Education
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'The effects of game quality and cognitive loads on students’ learning performance in mobile game-based learning contexts: The case of system analysis education'. Together they form a unique fingerprint.

Cite this