Emerging Concepts in Technology-Enhanced Language Teaching and Learning - Softcover

Softcover

ISBN 10: 1799889823 ISBN 13: 9781799889823

Publisher: Business Science Reference, 2022

Synopsis

For years, language teachers have increasingly been using technologies of all kinds, from computers to smartphones, to help their students learn. Current trends in TELTL (technology-enhanced language teaching and learning), such as artificial intelligence, virtual reality, augmented reality, gamification, and social networking, appear to represent major shifts in the digital language learning landscape. However, various applications of technology to mediate language learning may be informed by reflecting not only on the present but perhaps more importantly on relevant insights from past research and practice.

Emerging Concepts in Technology-Enhanced Language Teaching and Learning explores the recent development of the new technologies for language teaching and learning to gain insights into and synergy of the theories, pedagogies, technological design, and evaluation of TELTL environments for comprehending the trends and strategies of the new digital era as well as investigate the possibility of future TELTL research direction. The book includes trends shaped by contemporary issues such as the COVID-19 pandemic. Covering topics such as digital education tools, L2 learnings, and sentiment analysis, this book serves as an essential resource for researchers, language teachers, educational software developers, administrators, IT consultants, technologists, professors, pre-service teachers, academicians, and students.

About this title

About the Authors

Bin Zou received his PhD in TESOL and computer technology from the University of Bristol (UK) and MA degree from the University of York (UK). He is a senior tutor/associate professor and a team leader at the English Language Centre, Xi'an Jiaotong-Liverpool University (China) and currently teaches EAP and EF courses. Dr. Zou’s research interests include Applied Linguistics, ELT, EAP, CALL, Corpus, and ICT. He has given presentations at international conferences including AILA, EUROCALL, IALLT, BAAL, IATEFL, etc., published papers in international journals, such as Computer-Assisted Language Learning , the International Journal of Computer-Assisted Language Learning and Teaching , the International Journal of Emerging Technologies in Learning , and edited books, including Monitoring and Assessment in Online Collaborative Environments: Emergent Computational Technologies for E-learning Support (IGI Global, USA). He is the editor of two books: Computer-Assisted Foreign Language Teaching and Learning: Technological Advances and Explorations of Language Teaching and Learning with Computational Assistance both to be published by IGI Global in 2013. Also, he has been involved in reviewing papers for the journal of Computer-Assisted Language Learning , the journal of Mixed Methods Research , and IGI Global books.

David Barr is Professor of Technology-Enhanced Learning at Ulster University. Professor Barr has undertaken research work at the Universities of Cambridge and Toronto. David is currently Head of the School of Education, having previously served as the Head of the School of Languages and Cultures and then Modern Languages, as well as Faculty Learning and Teaching Coordinator. He has significant experience of working with a range of employers, public and government bodies to promote awareness the importance of subject development for the local economy and has led developments in the modern languages and teacher education, serving as member of the Department of Education’s Initial Teacher Education Working Group As well as serving as Co-Editor-in-Chief of ICALLT, he is Associate Editor for ReCALL, Treasurer of EUROCALL (the European Association for Computer Assisted Language Learning) and is a member of the WorldCALL steering committee (World Association for Computer Assisted Language Learning) and chair of the WorldCALL international scientific committee.

Edition details

• Publisher: Business Science Reference
• Publication date: 2022
• Language: English
• ISBN 10: 1799889823
• ISBN 13: 9781799889823
• Binding: Paperback
• Number of pages: 347
• Editor: Zou Bin, Thomas Michael, Barr David, Jia Wen