Ai In Language Teaching Learning And Assessment

AI in Language Teaching, Learning, and Assessment

The introduction of Artificial Intelligence (AI) has ignited a fervent academic discourse. AI's role is as both a powerful ally and a potential adversary in education. For instance, ChatGPT is a generative AI which mimics human conversation with impressive precision. Its capabilities span the educational spectrum, from answering questions and generating essays to composing music and coding. Yet, as with any innovation, its advent has sparked a spirited academic dialogue. AI in Language Teaching, Learning, and Assessment seeks to address these concerns with rigor and thoughtfulness. It explores the undeniable drawbacks of AI in language education and offers strategic insights into their prevention. It scrutinizes the resources and safeguards required to ensure the ethical and secure integration of AI in academic settings. This book lays out the multifaceted benefits of incorporating AI into language teaching, learning, and assessment. Its chapters dissect the transformative impact of AI on pedagogy, teaching materials, assessment methodologies, applied linguistics, and the broader landscape of language education development. This book is a valuable resource for language learners, educators, researchers, and scholars alike. It beckons to those who are keen on exploring and implementing AI in education, as well as AI developers and experts seeking to bridge the chasm between technology and language education.

Insights into AI and Language Teaching and Learning

Overview Language educators often have varied levels of comfort and expertise with emerging technologies like Artificial Intelligence (AI). This creates a pedagogical gap that must be filled to ensure that educators can make informed choices about the technologies they integrate into their classrooms. The primary aim of “Insights into AI and Language Teaching” is to function as a comprehensive training guide for language educators interested in incorporating AI technologies into their teaching practice for foreign/second language education across a variety of language contexts—not just English as a Foreign Language (EFL), but also for the teaching of other foreign languages. This book aims to act as a bridge, guiding teachers from a basic understanding of AI to a level where they can confidently employ it as part of their teaching toolbox. As teachers have a long-lasting impact on how students view learning, adopt new technologies, and even how they perceive themselves, this book will, therefore, focus not only on technology but also on how teachers can be empowered to use AI in a way that enhances their influence and the positive impact they can have on their students. Table of Contents* 1. Introduction Part 1: Overview of the Issues 2. Historical Foundations of AI – Mathias Schulze 3. Challenges of AI in Language Education – Benjamin Luke Moorhouse, Yuwei Wan 4. AI Literacy – Antonie Alm 5. AI and Assessment – Peter Crosthwaite, Qing Ma 6. Ethical Considerations of AI – Gilbert Dizon 7. Research Methods and AI – Yijen Wang Part 2: Establishing the Foundations of Good Practice 8. Motivational Issues in AI Integration – Chun Lai, Zhan Shi 9. AI and Teaching Communities – Louise Ohashi 10. Teacher and AI Collaboration – Jaeho Jeon, Seongyong Lee 11. Teacher’s Practical Pedagogical Knowledge for AI – Zoe Handley 12. Professional Development and Learner Training for AI – Glenn Stockwell Part 3: AI in Practice 13. Machine Translation – Sangmin Michelle Lee, Nayeon Kang 14. Generative AI and Chatbots – Lucas Kohnke, Curtis Green-Eneix 15. AI-integrated Language Learning Applications – Eneyire Godwin Omuya, Xin Zhao, Minna Rollins 16. Feedback and Automated Writing Evaluation (AWE) – Volker Hegelheimer, Inyoung Na, Mahdi Duris Index

Learning Oriented Assessment