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Innovations and Applications of Technology in Language Education

BuchGebunden
216 Seiten
Englisch
Taylor & Francis Ltderschienen am12.07.2024
The book contextualizes language education technology and examines how it is currently applied, how it should be applied, and future developments. It focuses on the use of technology to improve language teaching and learning, technology-assisted language testing and assessment, and technology in English language education.mehr
Verfügbare Formate
BuchGebunden
EUR201,50
E-BookPDF0 - No protectionE-Book
EUR216,99
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Produkt

KlappentextThe book contextualizes language education technology and examines how it is currently applied, how it should be applied, and future developments. It focuses on the use of technology to improve language teaching and learning, technology-assisted language testing and assessment, and technology in English language education.
Details
ISBN/GTIN978-1-032-56073-1
ProduktartBuch
EinbandartGebunden
Erscheinungsjahr2024
Erscheinungsdatum12.07.2024
Seiten216 Seiten
SpracheEnglisch
MasseBreite 156 mm, Höhe 234 mm
Gewicht580 g
Artikel-Nr.61443601
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Inhalt/Kritik

Inhaltsverzeichnis
Editors. Preface. List of Contributors. Section I TECHNOLOGY-ASSISTED LANGUAGE EDUCATION. 1 Professional Learning for CALL Teachers: A Research-Based Approach. 2 Designing and Implementing WhatsApp Communication Tasks for the English as a Foreign Language Classroom: A Case Study. 3 Evaluation of ELSA Speak Used by Vietnamese University EFL Students. 4 Critical Appraisal of Artificial Intelligence-Mediated Communication in Language Education. 5 "Write It Out!": Using Digital Storytelling (DST) to Positively Engage Pre-Service EFL Teachers with Digital Content and to Enhance Their Writing Skills. 6 Revitalizing English Language Learning: An Exploration of ChatGPT´s Impact on Student Engagement and Motivation. Section II TECHNOLOGY-ASSISTED LANGUAGE TESTING AND ASSESSMENT. 7 Technology-Based Language Testing: Principles and Future Directions. 8 Technology-Assisted Task-Based Second Language Assessment for Learning. 9 The Use of Artificial Intelligence in Language Test Development and Administration: What, How, and Why. Section III USING TECHNOLOGY FOR SPECIFIC PURPOSES IN LANGUAGE EDUCATION. 10 Using Asynchronous Computer-Mediated Communication to Increase Students´ Out-of-Class Interaction. 11 Impacts of a Blended Learning Model on EFL Students´ Engagement and English Proficiency: Evidence from IELTS Preparation Courses. 12 EFL Teachers´ Informal Digital Learning of English and Its Effects on Their Instructional Willingness to Communicate in English. Appendix A: Pre-Test and Post-Test Questionnaires. Appendix B: Feedback Questionnaire on ChatGPT.mehr

Autor

Hung Phu Bui holds a PhD in language education. He is now a lecturer and researcher at School of Foreign Languages, University of Economics Ho Chi Minh City (UEH University). Hung also serves as an editor for several international journals. His research interests have stretched across different aspects of second/ foreign language (L2) education and technology in language education. His recently published works have mainly concentrated on applications of cognitive linguistics in L2 acquisition, sociocultural theory in L2 acquisition, L2 students' interaction, L2 classroom assessment, teaching English for specific purposes, and computer-assisted language teaching and learning. Serving as the keynote and plenary speaker in many national and international conferences in the world, Hung has had opportunities to spread his knowledge and research interests to students, colleagues, and novice researchers in Asia.

Raghvendra Kumar is an Associate Professor in Technology at GIET University, India. He holds a PhD in applied technology. He spent his postdoctoral fellowship at Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He has served as an editor for many international journals and publishers (e.g., Springer, Taylor & Francis) and as a keynote speaker at many international renown conferences His research areas include computer networks, data mining, cloud computing and secure multiparty computations, and algorithms. He authored and edited 23 computer science books in the respective fields.

Nilayam Kumar Kamila is a lead software engineer in Capital One Wilmington, USA. He holds a PhD in applied technology. He received his multiple masters and certificates from India and United States of America. He is especially interested in educational technology. He has expertise on application development and innovative system designs. His publications mainly focus on applications of artificial intelligence in management, machine learning, and wireless sensor network. He has published many journal articles and book chapters with international large publishers, such as Elsevier and Springer. He has also attended several international conferences around the world. For further information about him, please contact nilayam.kamila@gmail.com.