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2020 – today
- 2024
[j11]Changqin Huang
, Hangjie Wei, Qionghao Huang, Fan Jiang, Zhongmei Han, Xiaodi Huang:
Learning consistent representations with temporal and causal enhancement for knowledge tracing. Expert Syst. Appl. 245: 123128 (2024)- [j10]Chang-Qin Huang, Fan Jiang, Qionghao Huang, Xizhe Wang, Zhongmei Han, Wei-Yu Huang:
Dual-Graph Attention Convolution Network for 3-D Point Cloud Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4813-4825 (2024) - 2023
- [j9]Changqin Huang, Yaxin Tu, Zhongmei Han, Fan Jiang, Fei Wu, Yunliang Jiang:
Examining the relationship between peer feedback classified by deep learning and online learning burnout. Comput. Educ. 207: 104910 (2023) - [j8]Zhongmei Han, Yaxin Tu, Changqin Huang:
A Framework for Constructing a Technology -Enhanced Education Metaverse: Learner Engagement With Human-Machine Collaboration. IEEE Trans. Learn. Technol. 16(6): 1179-1189 (2023) - 2022
- [j7]Zhongmei Han, Qionghao Huang, Jie Zhang, Changqin Huang, Huijin Wang, Xiaodi Huang:
GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network. Appl. Intell. 52(11): 13162-13183 (2022) - [j6]Yuting Chen, Ming Li, Chang-Qin Huang, Zhongmei Han, Gwo-Jen Hwang, Gang Yang:
Promoting deep writing with immersive technologies: An SVVR-supported Chinese composition writing approach for primary schools. Br. J. Educ. Technol. 53(6): 2071-2091 (2022) - 2021
- [j5]Zhongmei Han, Chang-Qin Huang, Jianhui Yu, Chin-Chung Tsai:
Identifying patterns of epistemic emotions with respect to interactions in massive online open courses using deep learning and social network analysis. Comput. Hum. Behav. 122: 106843 (2021) - [j4]Xizhe Wang, Xiaoyong Mei, Qionghao Huang, Zhongmei Han, Changqin Huang:
Fine-grained learning performance prediction via adaptive sparse self-attention networks. Inf. Sci. 545: 223-240 (2021) - 2020
- [j3]Zhongmei Han, Jiyi Wu, Changqin Huang, Qionghao Huang, Meihua Zhao:
A review on sentiment discovery and analysis of educational big-data. WIREs Data Mining Knowl. Discov. 10(1) (2020) - [c1]Zhongmei Han, Changqin Huang, Qionghao Huang, Jianhui Yu:
Sentiment Evolutions in Blended Learning Contexts: Investigating Dynamic Interactions Using Simulation Investigation for Empirical Social Network Analysis. ICBL 2020: 249-263
2010 – 2019
- 2019
- [j2]Chang-Qin Huang, Zhongmei Han, Ming-Xi Li, Morris Siu-yung Jong, Chin-Chung Tsai:
Investigating students' interaction patterns and dynamic learning sentiments in online discussions. Comput. Educ. 140 (2019) - [j1]Qintai Hu, Zhongmei Han, Xiaofan Lin, Qionghao Huang, Xiaomei Zhang:
Learning peer recommendation using attention-driven CNN with interaction tripartite graph. Inf. Sci. 479: 231-249 (2019)
Coauthor Index
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