The AI Journey: Exploring Tools, Innovation, and Education(Volume 2)

Volume 2: Classrooms of Tomorrow: AI at the Core

این کتاب با حمایت مادی و معنوی معاونت فرهنگی و اجتماعی و آکادمی FEA  وابسته به انجمن علمی - دانشجویی آموزش زبان انگلیسی دانشگاه محقق اردبیلی به چاپ رسیده است.

Educational technologies are reshaping the way we learn and teach, especially in the 21st century. The integration of artificial intelligence (AI) and advanced tools into education has made learning more accessible, engaging, and effective for everyone. This book series, "The AI Journey: Exploring Tools, Innovation, and Education," delves into the transformative role of AI and technology in education and its impact on both teachers and learners.

Each volume in this series is structured into three main sections. The first section introduces readers to key terms and concepts, ensuring a shared understanding of the vocabulary central to the discussion. These keywords form the foundation for exploring the themes of each volume and help readers navigate the rapidly evolving landscape of educational technology.

The second section presents research findings that highlight the latest advancements and studies in educational technologies. By drawing on credible sources, this section provides evidence-based insights into how tools like mobile apps, virtual classrooms, and AI-powered platforms are enhancing the teaching and learning process. Readers will also find summaries of key studies that demonstrate the effectiveness of these technologies.

The third section, "Features," offers practical guidance and resources tailored to the needs of both teachers and learners. For teachers, the subsections cover essential topics such as digital literacy, innovative EAIT gadgets, ICT tips, and online testing platforms. These tools and strategies empower educators to create inclusive, interactive, and efficient classrooms. For learners, the subsections explore online educational platforms, podcasts, real-life tools, and YouTube channels, providing students with accessible and engaging resources for self-directed learning.

What sets this series apart is its ability to connect theoretical knowledge with real-world applications. By combining research, practical examples, and actionable insights, these books bridge the gap between academic study and classroom implementation. The focus remains on making the benefits of educational technologies tangible and meaningful for all stakeholders in education.

This series aims to inspire educators, policymakers, and learners alike to embrace the opportunities presented by AI and technology. With a forward-looking approach, the books address the challenges and possibilities of integrating technology into diverse educational settings, ensuring that readers are well-equipped to adapt to future innovations.

This volume, "The AI Journey: Exploring Tools, Innovation, and Education, Volume 2: Classrooms of Tomorrow: AI at the Core," delves into the transformative power of AI in shaping modern classrooms. It addresses challenges in AI implementation, such as technological barriers and educator training, while highlighting breakthroughs like personalized learning paths, biofeedback integration, and multimodal language learning. By exploring dynamic assessment models and AI’s role in fostering cross-cultural competence, this volume equips readers with the insights needed to embrace AI as a central force in the classrooms of tomorrow.

Chapter 1: Overcoming Challenges in Implementing AI in Language Education (1)/19

Chapter 2: Overcoming Challenges in Implementing AI in Language Education  (2)/45

Chapter 3: Personalized Learning Paths with AI (1)/69

Chapter 4: Personalized Learning Paths with AI  (2)/95

Chapter 5: AI and Cross-cultural Competence in Language Education/121

Chapter 6: Biofeedback and Wearable Technology in Language Education/147

Chapter 7: AI and Multimodal Language Learning/173

Chapter 8: The Impact of Virtual Assistants on Language Proficiency/199

Chapter 9: Evaluation and Assessment Models in AI Language Education/225

Chapter 10: Dynamic Assessment Models in AI Language Education/251

References/279