Special Session 1: Generative AI and the Evolving Roles of Educators

专题一:生成式人工智能与教育者的新角色

投稿链接 Submission Link: https://www.easychair.org/conferences/?conf=iceit2026
(Select Special Session 1 - Generative AI and the Evolving Roles of Educators)

 

专题简介 (Description):

本专题旨在超越对生成式人工智能工具的讨论,深入探索其对教育者身份与职业的变革性影响。我们聚焦于教师如何从知识传授者转变为学习的引导者、课程设计师和人机协作的协调者。征稿重点关注在人工智能增强的教学环境中,发展新的教学法、评估素养以及伦理领导力。我们将探讨教育者如何批判性地整合人工智能工具,设计能培养学生高阶思维和创造力的学习体验。我们欢迎关于师资培训模式创新、成功实践案例研究以及应对职业身份转变挑战的论文,共同描绘未来教师的专业画像。
This session moves beyond discussing Generative AI tools to explore their transformative impact on educator identity and professionalism. We focus on how teachers evolve from knowledge transmitters to learning facilitators, curriculum designers, and human-AI collaboration coordinators. We invite papers on developing new pedagogies, assessment literacies, and ethical leadership in AI-augmented teaching environments. Discussions will center on how educators can critically integrate AI tools to design learning experiences that foster higher-order thinking and creativity. We welcome submissions on innovative teacher training models, case studies of successful practice, and strategies for navigating professional identity shifts.


征稿主题 (Topics of Interest):
- Prompt Engineering and AI-aided Curriculum Design / 提示工程与人工智能辅助的课程设计
- Teacher as Facilitator in AI-Integrated Classrooms / 人工智能融合课堂中作为引导者的教师
- Assessing the Efficacy of GenAI as a Co-teaching Tool / 评估生成式人工智能作为协同教学工具的有效性
- Ethical Pedagogy and Critical AI Literacy for Educators / 面向教育者的伦理教学法与批判性人工智能素养
- Redefining Teacher Professional Development in the GenAI Era / 生成式人工智能时代教师专业发展的重新定义

    

 

Organizer Introduction

 

吴长城,博士,四川师范大学计算机科学学院副教授,教育部、四川省考试院命题专家。近年来从事人工智能教育应用等方向研究。主持完成国家社科基金、教育部人文社科等10余项项目。出版学术专著1部,并在《电化教育研究》、Journal of Computer Assisted Learning等核心期刊发表学术论文20余篇。
Dr. Changcheng Wu is an Associate Professor at the School of Computer Science, Sichuan Normal University. He also serves as a test design and development expert for both the Ministry of Education of China and the Sichuan Provincial Examination Authority. His primary research focuses on Artificial Intelligence in Education (AIED).
Dr. Wu has an outstanding record in research funding. He has directed over 10 funded projects, including key grants from the National Social Science Fund of China and the Humanities and Social Sciences Foundation of the Ministry of Education. His scholarly output includes one authored academic monograph and more than 20 high-quality papers published in esteemed journals such as E-education Research (CSSCI) and the Journal of Computer Assisted Learning (SSCI).

 

 

 

 

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