Integrating Artificial Intelligence Technology into Language Teacher Education

This volume provides five exploratory studies on the constraints and affordances of artificial intelligence (AI), specifically examining ChatGPT’s applications among preservice teachers preparing to teach multilingual learners. Through detailed analysis of classroom implementation, student perceptions, and pedagogical outcomes, this collection offers groundbreaking insights into how large language models can transform teacher preparation programs. Three studies present firsthand accounts of preservice teachers’ experiences with ChatGPT, revealing a pragmatic orientation where adoption hinges on student motivation, accelerated English language development, and ease of use. The remaining two studies investigate ChatGPT-produced text as an instructional tool, highlighting its potential for fostering critical analysis while emphasizing the necessity of thoughtful integration through careful teacher planning.

This volume speaks directly to graduate students, teacher educators, educational technology specialists, TESOL professionals, and researchers in applied linguistics and AI ethics. It bridges multiple disciplines including educational technology, second language acquisition, teacher preparation, multilingual education, and artificial intelligence in education. The research presented in this volume contributes to ongoing conversations about technological innovation in classrooms, ethical considerations in AI implementation, and evolving best practices for preparing teachers to work effectively with multilingual populations in technology-enhanced learning environments.

The chapters in this book were originally published as a special issue of Computers in the Schools.

Rod Case is Associate Professor of Teaching English as a Second Language at the University of Nevada, Reno, USA. He is one of three recipients of the Northern Nevada English Learning Initiative (NNELI). Case teaches courses in second language acquisition and second language assessment. His research interests include various topics in applied linguistics and second language acquisition.

Leping Liu is Professor of Quantitative Methods and Learning Sciences at the University of Nevada, Reno, USA. She has more than 20 years of higher education for two universities in the USA. She has taught over 25 courses in instructional technology, instructional design, information technology in education, statistics, research design, and counseling technologies. Liu has published over 20 books and numerous refereed journal articles, book chapters, and conference articles. She also is research editor for Computers in the Schools and editor in chief of the International Journal of Technology in Teaching and Learning.

Joseph Mintz is Professor of Inclusive Education at UCL’s Institute of Education with a diverse background spanning software development, primary teaching in London schools, and higher education. His research focuses on autism education, teacher education for inclusion, and educational technology for children with special needs. His work bridges psychological knowledge and classroom practice, while his recent projects investigate AI applications in educational settings.