章成铭
博士 | 副教授 | 硕士生导师
宁波大学教师教育学院
研究方向
教师教育 • 人工智能教育 • 教育大数据与学习分析
教育背景
课程开设
学术服务
期刊审稿
组织成员
- 欧洲学习与教学研究协会 (EARLI)
- 欧洲技术增强学习协会(EATEL)
- 德国教育科学学会 (DGfE)
- 德国实证教育研究协会 (GEBF)
科研项目
Leading innovative research projects in AI and Education.
浙江省哲学社会科学课题（2025-2028），生成式人工智能背景下大学生技术依赖的生成机制与调适路径研究，3万
宁波大学科研启动基金（2025-2028），《基于多模态数据的师范生反思能力智能评测与自动化反馈研究》，10万元
欧洲学习与教学研究协会（EARLI）项目（2024-2026），《基于多模态数据的教学效能自动化评估》，16万元，在研
德国联邦教育与研究部（BMBF）项目（2021-2024），《教师教育中基于人工智能的个人透明化学习档案系统》，885万元，已结题
学术发表
Selected Publications & Papers
[2] Zhang, C., Hofmann, F., Plößl, L., & Gläser-Zikuda, M. (2024). Classification of reflective writing: A comparative analysis with shallow machine learning and pre-trained language models. Education and Information Technologies, 1-27. https://doi.org/10.1007/s10639-024-12720-0
[1] Zhang, C., Hu, M., Wu, W., Chen, Y., Kamran, F., & Wang, X. (2025). A profile analysis of pre-service teachers’ AI acceptance: Combining behavioral, technological, and human factors. Teaching and Teacher Education, 163, 105086. https://doi.org/10.1016/j.tate.2025.105086
[3] Zhang, C., Hu, M., Wu, W., Kamran, F., & Wang, X. (2024). Unpacking perceived risks and AI trust influences pre-service teachers' AI acceptance: A structural equation modeling-based multi-group analysis. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12905-7
[4] Zhang, C., Schießl, J., Plößl, L., Hofmann, F., & Gläser-Zikuda, M. (2023). Acceptance of artificial intelligence among pre-service teachers: a multigroup analysis. International Journal of Educational Technology in Higher Education, 20(1), 49. https://doi.org/10.1186/s41239-023-00420-7
[5] Zhang, C., Schießl, J., Plößl, L., Hofmann, F., & Gläser-Zikuda, M. (2023). Evaluating Reflective Writing in Pre-Service Teachers: The Potential of a Mixed-Methods Approach. Education Sciences, 13(12), 1213. https://doi.org/10.3390/educsci13121213
[6] Zhang, C., Gläser-Zikuda, M., Hofmann, F., & Kamran, F. (2024). Self-regulation of preservice teachers in digital learning environments. In Self-Regulated Learning - Insights and Innovations. Intechopen. https://doi.org/10.5772/intechopen.1006330
[7] 吴卫东,章成铭,傅唯佳,等.战略演进与学术聚焦：人工智能教育在德国[J].全球教育展望,2025,54(06):111-124.
[8] Gläser-Zikuda, M., Zhang, C., Hofmann, F., Plößl, L., Pössel, L., & Artmann, M. (2024). Mixed Methods Research on Reflective Writing in Teacher Education. Frontiers in Psychology. 15, 1394641. https://doi.org/10.3389/fpsyg.2024.1394641
[9] Solopova, V., Rostom, E., Cremer, F., Gruszczynski, A., Witte, S., Zhang, C., ... & Landgraf, T. (2023, September). PapagAI: Automated Feedback for Reflective Essays. In German Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 198-206). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-42608-7_16