Abstract
In this study, an online system was used to support dance courses with three kinds of peer feedback modes: peer assessment, peer feedback, and mixed of both. Through the way of recording the video of dance process, and by providing feedbacks helped students to reflect on their own dance performance and modify their skills. The research design focused on exploring the effects of different online peer feedback modes on the dance performance of university students at different levels. The feedback messages in online peer comments for dance performance were also examined by content analyses regarding the affective, cognitive, and metacognitive aspects. The results found that peer assessment mode was most effective on dance performance with more outstanding students, peer comment mode was better for middle-level students, while a mixed mode worked the best for students with lower abilities. Cognitive was the most frequent category in peer feedback messages about dance performance, In the future studies, what type of peer feedback messages most helpful and what role of feedback message can be explored for improvement on dance performance. Further extensions can be applied to mobile applications to provide instantaneous feedback.
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