1. Effect of an AI-Based Chatbot on Students' Learning Performance in Alternate Reality Game-Based Museum Learning
- Author
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Hsin-Yi Liang, Gwo-Jen Hwang, Tien-Yu Hsu, and Jen-Yuan Yeh
- Abstract
Recently, alternate reality games (ARGs) have been applied in museum learning to encourage learners' active engagement through playful problem-solving activities. However, most learners have insufficient prior knowledge and metacognitive skills to complete the learning tasks in such games. To support learning with ARGs, there is a need to provide proper feedback so that the learners are capable of self-regulated learning and solving the problems encountered during the learning process. Considering the influences of individual differences, this research developed a chatbot as a learning partner in ARG-based learning to support students' learning with adaptive feedback in a museum. A quasi-experimental study was conducted to evaluate the effectiveness with and without the proposed approach. The results showed that the AI-based chatbot approach could significantly improve learners' metacognition awareness, emotional engagement and behavioural engagement. Besides, it is helpful to facilitate students' double-loop learning.
- Published
- 2024
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