16 Papers
14 Citations
Zhu Su is an academic researcher from Central China Normal University. The author has contributed to research in topics: Social network analysis & Collaborative learning. The author has an hindex of 3, co-authored 10 publications.
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Papers
Emotion-Semantic-Aware Dual Contrastive Learning for Epistemic Emotion Identification of Learner-Generated Reviews in MOOCs.
Zhi Fei Liu,Chaodong Wen,Zhu Su,Sanya Liu,Jianwen Sun,Weizheng Kong,Zongkai Yang +6 more
TL;DR: This article presents an emotion-semantic-aware dual contrastive learning (ES-DCL) approach, which improves the performance of epistemic emotion identification, and significantly outperforms state-of-the-art deep learning-based methods in learning more discriminative sentence representations.
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Exploring the Relationship Between Social Interaction, Cognitive Processing and Learning Achievements in a MOOC Discussion Forum:
TL;DR: In the field of learning analytics, mining the regularities of social interaction and cognitive processing have drawn increasing attention as mentioned in this paper. Nevertheless, in MOOCs, there is a lack of investigations.
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Investigating the Relationship between Learners' Cognitive Participation and Learning Outcome in Asynchronous Online Discussion Forums.
Zhi Liu,Shiqi Liu,Cuishuang Zhang,Zhu Su,Tianhui Hu,Sannyuya Liu +5 more
- 01 Jan 2020
TL;DR: The results showed that the high achievement group’s cognitive behavior frequency in all categories is higher than the other, and effective order of behaviors with the learning outcome is “constructive > active > interactive”.
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Exploring the relationships between students’ network characteristics, discussion topics and learning outcomes in a course discussion forum
TL;DR: Social network analysis and epistemic network analysis methods are adopted to jointly investigate the relationships between students’ network characteristics, discussion topics, and learning outcomes in a course discussion forum to enrich the ODF research on the comprehensive identification of interactive behaviours and discourse content.
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