AI Innovations in Language Education and Communication

1. Auflage 2026
ISBN: 978-1-041-08715-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 308 Seiten, Format (B × H): 156 mm x 234 mm

In today's interconnected world, advancing language education and communication skills is crucial for personal growth, career prospects, and cross-cultural understanding. The integration of AI in language learning and multilingual communication has revolutionized the field. It offers innovative solutions like language learning apps, real-time translation, and conversational agents. These AI-powered tools enhance language proficiency and fluency. They present opportunities for more effective and inclusive language education. There are, however, questions on AI's effectiveness, accessibility, and potential drawbacks. These include biases  towards mainstream languages, varying accuracy, and reliability. Moreover, AI-driven language processing also raises ethical concerns related to privacy, data security, and cultural nuances that can potentially compromise interaction quality. This volume explores the transformative potential of AI in advancing language education and communication skills. It highlights benefits and challenges to foster reliable and inclusive AI-powered language solutions. By investigating AI's impact on language learning and cross-cultural communication, this book seeks to address numerous underexplored issues. It aims to ensure AI's effective integration and promote meaningful multilingual interactions, thereby enhancing the quality of language education and communication in today's globalized society.

Zielgruppe

Academic, Postgraduate, Undergraduate Advanced, and Undergraduate Core

Autoren/Hrsg.

John, Aby

Subheesh, N. P.

Kumar, Randhir

C C, Sobin

J, Thapasya

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Methoden des Lehrens und Lernens
• Sozialwissenschaften Pädagogik Pädagogik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Entscheidungstheorie, Sozialwahltheorie

Inhaltsverzeichnis

Preface. 1. Mapping the Trend and Intersectionality of AI and Language Education Using Bibliometric and Thematic Network Analysis. 2. Bridging the Gaps between Humans and Machines NLP in Real-World Applications. 3. Exploring the Impact of AI-Powered Feedback on Learner Motivation, Engagement, and Self-Efficacy in Digital Learning Environments. 4. The Role of Artificial Intelligence in Enhancing Heutagogical Practices in English Education. 5. AI, Feedback, and the Teacher’s Voice Autoethnographic Reflections on Maintaining Identity. 6. E3L Framework Human AI Collaboration in Language Education with E3L Framework. 7. Virtual Reality (VR) and Augmented Reality (AR) in AI-Enhanced Language Education Immersive Learning Experiences. 8. AI-Driven AR/VR Technologies for Adaptive Learning in Language Education. 9. AI-Assisted Reading Strategies for EFL Learners Enhancing Comprehension, Vocabulary, and Critical Thinking through Personalized Learning. 10. AI-Driven Education and the Future of Language Policy Insights from India. 11. Artificial Intelligence (AI) in the Teaching and Learning of Foreign Languages Insight from a Public University. 12. English Language Teaching Motivation in the Age of AI Embracing Change and Innovation. 13. The Role of AI in Language Sustainability. 14. Emerging Trends in AI-Enhanced Language Education Opportunities, Challenges and Solutions. 15. Future Trends in AI-Powered Language Education.

Über Autor(innen)

Dr. Aby John is a Junior Scientific Researcher at the Faculty of Philology, RUDN University, Moscow, Russia. He also serves as the Vice Chair (Research), IEEE EdSoc, Kerala Chapter, India. Earlier, he was a Visiting Professor at Financial University, Russia. He holds one UK design patent and has published ten patents in the Patent Office Journal, Office of the Controller General of Patents, Designs and Trademarks, Government of India. He also holds five registered copyrights. As a Cambridge Assessment Specialist, Cambridge, UK, he brings international expertise to his works. He has authored 3 books, and edited two volumes with global publishing houses. Dr. John was the principal investigator of two funded research projects, “Cultural and Linguistic Impediments in Translation” and “The Role of Social Media and Digital Platforms in Facilitating Language Learning and Intercultural Communication: An Empirical Study Conducted among Migrants.” He serves on the editorial/review boards of 17 international peer-reviewed journals, including 4 Scopus-indexed Q1 journals. He has published around 30 research papers in peer-reviewed national, international, UGC – CARE listed, and Scopus-indexed journals. Additionally, he has published 8 research papers as chapters in eight edited books. Numerous faculty development programs (FDP), refresher courses, and international conferences have boosted his profile to a great extent.

Dr. Randhir Kumar has a PhD in Information Technology from NIT Raipur, India. He completed his postdoctoral research from the department of Electrical Engineering, IIT Hyderabad.,. He is currently serving as an Associate Professor in the School of Computer Science (SoCS), UPES, Bidholi Campus, Dehradun, India. He has 10 years of teaching and 4 years of research experience. He has published his research articles in leading journals and conferences. His papers have been published in some of the high impact factor. One of his recent papers was recognized as the most cited paper of the year 2020-2021 in one of the reputed journals i.e., Transactions on Emerging Telecommunications Technologies. He received the best paper presentation award in one of the reputed conferences i.e., GLOBECOM in the year 2022. He qualified UGC-NET in 2018 and has been recognized as Best Engineer Trainee by Honeywell Technology, India in 2009. Additionally, he has been listed in Stanford University/Elsevier’s Top 2% Global Scientists. He is an active reviewer in various reputed journals. His research interest includes Cryptographic Techniques, Information Security, Blockchain Technology, Digital Twin and Services, Software Engineering, and Web Mining. He is also a member of IEEE and IAENG.

Dr. N. P. Subheesh Dr. N. P. Subheesh is a faculty member in the Department of Humanities and Social Sciences at the National Institute of Technology Patna, India. He currently serves as the Chairperson for Educational Activities of the IEEE Education Society Kerala Chapter. He previously held the position of Head of the Teaching Learning Center at SRM University-AP, India. With more than 20 years of teaching and research experience, Dr. Subheesh has made significant contributions to engineering education, particularly in the areas of Technology-Enhanced Learning (TEL), Artificial Intelligence in Education (AIEd), and assessment practices in higher education. He received his PhD in Engineering Education from the prestigious Indian Institute of Technology Madras, Chennai in 2024 (ranked No. 1 in India by the Government of India). He has an MTech in Media and Sound Engineering from IIT Kharagpur, and an undergraduate degree in Applied Electronics and Instrumentation Engineering from the University of Calicut. He has authored/co-authored around 25 peer-reviewed publications, which have garnered 190 citations. His research has been widely recognized for its impact on higher education and technology integration. He is an active professional member of the Institute of Electrical and Electronics Engineers (IEEE) and the Portuguese Society for Engineering Education (SPEE). He received the ‘Outstanding Professional Award 2024’ conferred by the IEEE Education Society (EdSoc).

Dr. Thapasya J is an Assistant Professor of Linguistics at the Indian Institute of Technology Indore, where she has been teaching and conducting research since 2021. She obtained a PhD in Linguistics from the Indian Institute of Technology Madras in 2020. Following her PhD, she served as a Guest Faculty in the Department of Linguistics at the Central University of Kerala. Thapasya is recognized for her research in language variation, with a strong focus on the cognitive and social dimensions of language. Her work also extends to the documentation of endangered languages, where she aims to preserve linguistic diversity and contribute to language revitalization efforts.

Dr. Sobin C.C. has vast expertise in studies of “Delay Tolerant Networks (DTNs)”, “Wireless Networks”, and “Internet of Things (IoT)”. His M Tech and PhD from premier institutes in India, such as IIT Madras and IIT Roorkee enabled him to acquire in-depth knowledge in developing routing protocols for DTNs and designing IoT-based applications. Ccurrently he is working as an Professor i in the School of Computer Science (SoCS), UPES, Bidholi Campus, Dehradun India. He is also well-versed in building IoT applications over DTN in case of limited internet connectivity. He has published several articles relevant to his areas of expertise in leading journals in the specified fields, including Journal of Network and Computer Applications, Wireless Personal Communications, and International Journal of Communication Systems. In recognition of his scholarly contributions, he was listed among Stanford University and Elsevier’s Top 2% Global Scientists in 2024.