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About Examining The Relationship Between Peer Feedback Classified by Deep Learning
This study examines the relationship between peer feedback in online learning and learning burnout among students. The researchers used deep learning algorithms like BERT to classify peer comments by cognitive content and affective state. They then used multiple linear regression analysis on the classified feedback and survey data from 116 participants to explore how different types of feedback related to dimensions of learning burnout. The results showed that suggestive feedback was associated with lower emotional exhaustion, while reinforcing feedback without guidance related to poorer behavior. Feedback tone also mattered - more positive feedback linked to higher emotional exhaustion and lower achievement, while negative feedback linked to poorer emotional experience and self-learning.
Detailed Information
| Author: | ['王建文'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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