@inproceedings{b083fca82bef44c3a061d03e5b067465,
title = "Mitigating Pre-service Teachers{\textquoteright} Teaching Anxiety with Generative Student Agents: A Quasi-Experimental Study on MetaClass",
abstract = "This study investigates the potential of Generative Student Agents (GenSAs), implemented via the MetaClass system, to alleviate teaching anxiety among pre-service teachers (PTs) in a university-based teacher education program. Grounded in situated learning and productive unsettlement, we conceptualize anxiety not only as a barrier but also as a driver of professional growth. Using a one-group pretest-posttest quasi-experimental design with 23 PTs, results show a significant reduction in overall teaching anxiety alongside nuanced shifts across specific dimensions. Participants also reported positive attitudes toward GenSA integration, highlighting its pedagogical value. These findings provide empirical evidence that GenAI-driven simulations can both mitigate and productively reshape teacher anxiety. Implications for AIED, particularly in designing affect-aware GenAI learning environments, and future research directions are discussed.",
keywords = "GenAI, Generative Student Agents, Large Language Models, MetaClass, Teacher Education, Teaching Anxiety",
author = "Yuanyuan Li and Fu, \{Zi Linyi\} and Yihe Zeng and Sijia Ma and Yufei Zhu and Fei Jiang and Gong Wang and Xiaoqing Gu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2027.; 27th International Conference on Artificial Intelligence in Education, AIED 2026 ; Conference date: 27-06-2026 Through 03-07-2026",
year = "2027",
doi = "10.1007/978-3-032-29770-9\_25",
language = "英语",
isbn = "9783032297693",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "224--232",
editor = "Blanchard, \{Emmanuel G.\} and Guanliang Chen and Min Chi and Seiji Isotani",
booktitle = "Artificial Intelligence in Education - 27th International Conference, AIED 2026, Proceedings",
address = "德国",
}