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Session Type: Roundtable Session
This session explores the transformative role of AI in teaching and learning across various educational levels. Presentations delve into the experiences and perceptions of both students and faculty, shedding light on how AI impacts learning, job prospects, and instructional practices. By integrating mixed-methods research and systematic reviews, the session provides a comprehensive view of how AI tools like ChatGPT are reshaping the educational landscape, prompting new approaches to pedagogy and professional development.
AI-Enhanced Lesson Planning and Self-Efficacy: A Mixed Methods Study - Clarice M. Moran, Appalachian State University
Exploring Faculty and Student Perceptions of AI's Impact on Job Prospects in Higher Education - Yingying Jiang, Purdue University; Xiaoyu Cao, Purdue University; Lindai Xie, Virginia Commonwealth University
Students’ Perceptions and Experiences of Learning With ChatGPT: A Mixed-Method Study in Hong Kong Secondary School - Yuhan Xiong, Education University of Hong Kong; Norman B. Mendoza, The Education University of Hong Kong; Zi Yan, The Education University of Hong Kong; Xiaoying Li, ELCHK Lutheran Academy
The Application of ChatGPT Across Educational Levels: A Systematic Review - Jie Gao, McGill University; Yajie Song, McGill University; Maria Cutumisu, McGill University; Adam Kenneth Dubé, McGill University
Undergraduate Students’ Learning Experience With ChatGPT: A Meta-Analysis - Fangfang Mo, Purdue University; Zafer Ozen, Purdue University; Yao Yang, Purdue University; Yukiko Maeda, Purdue University
Innovating Bilingual Education With a Digital Learning Companions Program: A Case for Taiwan - Ya-Yun Lu, National Changhua University of Education; Emmanuel Chukwunenye Amaechi, University of Calgary; Vivien Lin, National Changhua University of Education