Zhongmei Han, Ph.D. in Educational Technology, Associate Professor, and Master's Supervisor at Zhejiang Normal University. Selected for the Zhejiang Province "Zhijiang Young Social Science Scholars Action Plan" and serving as a board member of the second Zhijiang Youth Association. Core member of the Zhejiang Key Laboratory of Intelligent Education Technology and Application and postdoctoral researcher at the China National Institute of Education Sciences. Academic exchanges conducted as a visiting scholar at National Taiwan Normal University in 2018 and 2019.

Dedicated to research in the field of Artificial Intelligence in Education, focusing on the effectiveness of intelligent technology in empowering education. Over the past three years, six provincial and ministerial-level research projects led, including a sub-project under the National Key R&D Program of China (Technology Innovation 2030 – "New Generation Artificial Intelligence"), a National Natural Science Foundation project, and four provincial research projects in science, social science, and education.

Over 20 high-quality papers published in prestigious international journals in information science (SCI, Chinese Academy of Sciences Tier 1) and educational technology (SSCI, JCR Q1), including Information Sciences, Computers & Education, Applied Intelligence, e-Education Research, and Open Education Research. Among them, nine papers indexed in SCI (Chinese Academy of Sciences Tier 1) and SSCI (JCR Q1). Six national invention patents and four software copyrights obtained. Recognized with two national-level awards, including the First Prize of the Outstanding Scientific Research Achievement Award for Higher Education Institutions in China, as well as three provincial and ministerial awards, such as the Special Prize of the Zhejiang Provincial Philosophy and Social Sciences Outstanding Achievement Award.

Research Interests: Artificial Intelligence in Education, with a particular focus on Generative AI, Cognitive Conflict, Affective Computing, and Causal Inference.

Professional Service: Board Member of the Second Zhijiang Youth Association.

Articles

※Empirical Research on Artificial Intelligence in Education

[1]Zhongmei Han, Changqin Huang, Jianhui Yu, Chin-Chung Tsai (2021). Identifying patterns of epistemic emotions with respect to interactions in massive online open courses using deep learning and social network analysis [J]. Computers in Human Behavior, 122, 106843.（SSCI, IF: 5.003, JCR Q1）

[2]Changqin Huang, Zhongmei Han, Mingxi Li, Morris Siu-yung Jong, Chin-Chung Tsai. Investigating students’ interaction patterns and dynamic learning emotions in online learning discussion.  Computers & Education. 140(2019): 103589, Oct. 2019.（SSCI&SCI, IF: 5.627, JCR Q1)

[3]Changqin Huang, Zhongmei Han, Ming Li, Xizhe Wang, Wenzhu Zhao. Sentiment evolution with interaction levels in blended learning environments: Using learning analytics and epistemic network analysis.  Australasian Journal of Educational Technology. 37(2): 102-116. May. 2021. (SSCI, IF:2.13, JCR Q2)

[4]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.  Computers & Education, 207:104910, Dec 2023. (SSCI IF: 12.0, JCR Q1)

[5]Changqin Huang, Yaxin Tu, Tao He, Zhongmei Han, Xuemei Wu. Longitudinal exploration of online learning burnout: The role of social support and cognitive engagement.  European Journal of Psychology of Education. Feb. 2023 .(SSCI, IF: 2.821，JCR Q2)

[6]Changqin Huang, Linjie Zhang, Tao He, Xuemei Wu, Yafeng Pan, Zhongmei Han, Wenzhu Zhao. The role of emotion regulation in predicting emotional engagement mediated by meta-emotion in online learning environments: A two-stage SEM-ANN approach. Educational Psychology. 43(7):736-755. Sep. 2023. (SSCI, IF: 3.2, JCR Q2)

[7]Jianhui Yu, Changqin Huang, Zhongmei Han, Tao He, Ming Li. Investigating the Influence of Interaction on Learning Persistence in Online Settings：moderation or mediation of Academic Emotions?.  International Journal of Environmental Research and Public Health, 17(7):2320, Mar. 2020. (SSCI, IF: 2.468)

[8]Zhongmei Han, Tian Tian, Tao He, Changqin Huang (2022). The Relationships Between Self-regulated Learning and Peer Interactions in Online Environments [J]. E-education of China, 2022(05):99-106.(CSSCI)

[9] Zhongmei Han, Xizhe Wang, Changqin Huang, Xiaoqi Xu (2017). Contextual Semantic Annotation and Application of Learning Paths in Learning Cloud Space [J]. Modern Educational Technology, 27(11):120-126. (CSSCI)

[10] Zhiting Zhu, Zhongmei Han, Changqin Huang (2021). Educational Artificial Intelligence (eAI): A New Paradigm of Human-Centered Artificial Intelligence [J]. E-Education Research, 333:5-15, 2021.1. (CSSCI)

[11] Zhiting Zhu, Jianhui Yu, Zhongmei Han, Changqin Huang (2019). Leading the Innovative Development of Smart Education with Exponential Thinking [J]. E-Education Research, 309:5-16, 38, 2019. (CSSCI)

[12] Changqin Huang, Ning Zhu, Qionghao Huang, Zhongmei Han (2019). Visualization Research on Big Behavioral Data Supporting Personalized Learning [J]. Open Education Research, 25(2):53-64, 2019.4. (CSSCI)

※Interdisciplinary Research Empowering Education (Education, Computer Science, and Psychology)

[1]Zhongmei Han, Yaxin Tu, Changqin Huang. A framework for Constructing a Technology-enhanced Education Metaverse: Learner Engagement with Human‒machine Collaboration.  IEEE Transactions on Learning Technologies, 16(6): 1179-1189, Dec. 2023. (SSCI&SCI IF: 4.433, JCR Q1)

[2]Zhongmei Han, Qionghao Huang, Jie Zhang, Changqin Huang, Huijin Wang (2023). GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network [J]. Applied Intelligence, 52,13162-13183. (SCI &EI, IF: 5.086）

[3]Qintai Hu, Zhongmei Han, Xiaofan Lin, Qionghao Huang, Xiaomei Zhang (2019). Learning peer recommendation using attention-driven CNN with interaction tripartite graph [J]. Information Sciences, 479: 231-249, 2019.(SCI &EI, IF: 5.91)

[4]Changqin Huang, Hangjie Wei, Qionghao, Huang, Zhongmei Han*, Fan Jiang, Xiaodi, Huang. Learning Consistent Representations with Temporal and Causal Enhancement for Knowledge Tracing.  Expert Systems With Applications. Accepted, Jan. 2024.(SCI IF: 8.50)

[5]Zhongmei Han, Changqin Huang, Qionghao Huang, Meihua Zhao (2019). A review on sentiment discovery and analysis of educational big data [J]. WIREs: Data Mining and Knowledge Discovery, 10(1): e1328, 2020. (SCI &EI, IF: 4.476)

[6]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 (C). Lecture Notes in Computer Science, 12218:249-263, 2020. (EI）

[7]Xizhe Wang, Xiaoyong Mei, Qionghao Huang, Zhongmei Han, Changqin Huang. Fine-grained Learning Performance Prediction via Adaptive Sparse Self-Attention Networks.  Information Sciences, 545:223-239, Feb. 2021.(SCI & EI, IF:5.524 )