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Direct linkChing-Huei Chen; Ching-Ling Chang – Education and Information Technologies, 2024
This study aimed to investigate the effectiveness of using AI-assisted game-based learning on science learning outcomes, intrinsic motivation, cognitive load, and learning behavior. A total of 202 seventh graders were recruited and randomly assigned to the following three groups: (1) Game only (N = 70), (2) GameGPT (N = 63), and (3)…
Descriptors: Artificial Intelligence, Game Based Learning, Technology Uses in Education, Science Instruction
Kun Huang; Ching-Huei Chen – Journal of Computer Assisted Learning, 2025
Background: Digital game-based learning (DGBL) has shown promise in enhancing learning and motivation, with appropriate scaffolding playing a crucial role in facilitating student inquiries and knowledge acquisition through science games. While scaffolding is generally effective in promoting learning in DGBL, there is variability among different…
Descriptors: Video Technology, Educational Technology, Artificial Intelligence, Computer Mediated Communication
I-Fan Lo; Ching-Huei Chen – Research in Science & Technological Education, 2024
Interdisciplinary learning has become prevalent as a means of solving problems encountered in everyday life. Yet, there is a lack of experimental studies investigating strategies to facilitate interdisciplinary learning. This study explored the impacts of timing and types of instructional materials on the study of interdisciplinary subjects. A 2 ×…
Descriptors: Interdisciplinary Approach, Time Factors (Learning), Instructional Materials, Game Based Learning
