Effect of the Event Graph-Based Feedback Strategies on Learning Motivation in Robotics Education
Xuanxuan Zou, Zehui Zhan, Lin Yong, Kaixun Yang, Guanliang Chen · 2024
Relying on the robotics education curriculum, this study constructs a computational thinking evaluation method based on event graph, observes and analyses the behavioral characteristics of learners with high and low computational thinking levels, provides them with more accurate and differentiated feedback, and verifies the effect of different feedback on learners' motivation through quasi-experimental research. It can be found that the motivation of high computational thinking learners increases more significantly with corrective feedback, while the motivation of low computational thinking learners decreases with corrective feedback and increases with prompting feedback. The study provides a practical reference for teachers to implement feedback for learners with different levels of computational thinking.