Predictors of Flow Experience and Knowledge Acquisition in a STEM Game

Author:

Wang Jiahui

Abstract

Prior work systematically investigating the factors contributing to flow experience and learning in educational games is scarce. The relationship between learners’ acceptance of the game and individual difference variables relevant to game-based learning and learners’ flow experience and learning still needs to be systematically explored. To address the gap in knowledge, the study aimed to systematically examine whether variables of technology acceptance and individual differences relevant to game-based learning may predict flow experience and knowledge acquisition in an educational game. A total of 69 undergraduate students participated in the current study. Results indicated students’ flow experience was predicted by some constructs of technology acceptance, namely, perceived playfulness and perceived attractiveness of the game. Five constructs of technology acceptance of the game, however, did not significantly predict learners’ knowledge acquisition, although the correlation between perceived playfulness and knowledge acquisition from the game approached significance. Prior knowledge was found to be a negative predictor of knowledge acquisition from the game, that is, those with insufficient prior knowledge achieved greater knowledge acquisition from the game. Findings were discussed, and suggestions for future research were provided.

Publisher

Serious Games Society

Subject

Applied Mathematics,Artificial Intelligence,Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Education,Software

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