Journal
FRONTIERS IN PSYCHOLOGY
Volume 14, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fpsyg.2023.1077406
Keywords
token-based reinforcement; classroom management game; reward prediction error; elementary school; gamification
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Student engagement is crucial for academic success and student well-being. Previous studies have shown that extrinsic rewards are not effective in the long term, but are important for engaging in non-intrinsically rewarding activities. This study investigated the use of reward prediction error, a mechanism that prolongs the effects of extrinsic rewards. The results showed that a classroom-based game incorporating reinforcement and luck significantly increased student engagement and improved math performance, highlighting the importance of gamification in both digital and analog settings.
Student engagement is essential to academic success and student-wellbeing. In the past, fostering engagement though extrinsic rewards has often been found to be of limited effectiveness over the long term. However, extrinsic rewards are important for improving engagement with non-intrinsically rewarding activities. Thus, in the present study a mechanism that is meant to prolong the effects of extrinsic rewards was investigated: the reward prediction error. This error occurs when rewards are awarded contrary to the awardee's expectations. In a quasi-experiment, 39 elementary school students participated in a classroom-based game, which was supposed to motivate them to solve math exercises. It combined reinforcement with elements of luck, which were supposed to elicit the reward prediction error. After 2 weeks, the intervention group had completed significantly more math exercises compared to a pretest and, importantly, also more correctly solved exercises than a control group. This suggests that game-based reinforcement that elicits the reward prediction error might help to increase student engagement over the medium term. It furthermore highlights the importance of applying gamification elements not only digitally but also in analog settings.
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