
Integrating Artificial Intelligence Technology into Language Teacher Education
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
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.
More details
Other editions
Additional editions

Persons
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.
Content
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our eBook Help page.