Examining Essential Flow Antecedents to promote students’ Self-Regulated Learning and Acceptance of Use in a Game-Based Learning classroom


  • Kelvin Wan Hong Kong Baptist University
  • Vivian King Department of Social Work and Social Administration, The University of Hong Kong, HKSAR
  • Kevin Chan Department of Applied Social Sciences, The Hong Kong Polytechnic University, HKSAR




path analysis, technology acceptance model, Game Flow, gamification, motivation


Game-Based Learning (GBL) has been recognized as an essential tool for motivating students to engage in active and constructive learning. While there is a link between GBL and learning outcomes, current research evidence tends to undermine the interrelationships of concepts and oversimplify flow experience in the context of GBL. This study used a comprehensive Flow perspective to examine the roles of specific gaming characteristics affecting students’ self-regulated learning and acceptances of use in a higher education GBL context, with a path model based on data collected from 275 undergraduate university students. The model demonstrated an excellent fit of the data with interrelations among constructs about Flow Antecedents, Acceptance of Use, Motivation and Metacognition. The findings revealed that learners place a higher value on GBL with flow elements like Concentration and Challenge, which is linked to their learning motivation and metacognitive outcomes. Aid by GBL on knowledge gain and immersive experience are considered as the underpinnings of Performance Expectancy before students consider adopting GBL for their learning. In contrast to what is typical of serious games, learners primarily use GBL to improve their academic performance rather than for its immersive experience.



23 Nov 2021