Transdisciplinary Teaching And Technological Integration For Improved Learning Case Studies And Practical Approaches


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Transdisciplinary Teaching and Technological Integration for Improved Learning: Case Studies and Practical Approaches


Transdisciplinary Teaching and Technological Integration for Improved Learning: Case Studies and Practical Approaches

Author: Kumar, Rajendra

language: en

Publisher: IGI Global

Release Date: 2024-08-14


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In the modern era of research, the significance of transdisciplinary and multidisciplinary approaches in enhancing higher education learning outcomes cannot be overlooked. These approaches break down traditional academic silos, fostering a more holistic and interconnected understanding of complex problems. By integrating diverse perspectives and methodologies, they promote critical thinking, creativity, and innovation among students. Educators and institutions must embrace and implement transdisciplinary teaching and technological integration to prepare students for the demands of the future and drive meaningful advancements in education. Transdisciplinary Teaching and Technological Integration for Improved Learning: Case Studies and Practical Approaches embodies a commitment to these approaches, incorporating three cyclical activities—research, participation, and action—that collaboratively seek answers to practical questions through features of participatory and situational research. The book explores problem identification, action planning, observation collection, and behavioral data analysis. Covering topics such as artificial intelligence tools, higher education institutions, and university student satisfaction, this book is an excellent resource for higher education faculty, academic administrators, curriculum developers, educational technology specialists, researchers, and more.

Application of AI in the Teaching and Learning of English as a Foreign Language (EFL)


Application of AI in the Teaching and Learning of English as a Foreign Language (EFL)

Author: Baba Khouya, Youssef

language: en

Publisher: IGI Global

Release Date: 2025-05-28


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The application of artificial intelligence (AI) in the teaching and learning of English as a Foreign Language (EFL) transforms traditional educational practices by offering more personalized, efficient, and interactive learning experiences. AI-powered tools enable learners to receive instant feedback, engage in conversational practice, and tailor content to individual learning styles. AI facilitates adaptive learning platforms that analyze students’ progress and adjust difficulty and content type. For educators, AI can assist in automating administrative tasks, assessing student performance, and identifying areas for learner support. Further research may enable more data-informed and responsive teaching strategies in EFL contexts. Application of AI in the Teaching and Learning of English as a Foreign Language (EFL) explores the application of AI in the teaching and learning of EFL. Through an applied linguistics lens, this publication examines how AI technologies transform traditional EFL methodologies, addressing the potential of AI to personalize learning, optimize language assessment, and facilitate language acquisition, while also tackling challenges, ethical considerations, and the need for interdisciplinary collaboration. This book covers topics such as ethics and law, lexicology, and gamification, and is a useful resource for educators, linguists and language experts, computer engineers, academicians, researchers, and scientists.

Blending Human Intelligence With Technology in the Classroom


Blending Human Intelligence With Technology in the Classroom

Author: Alaqad, Mohammed H.

language: en

Publisher: IGI Global

Release Date: 2025-04-09


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In recent years, the integration of artificial intelligence (AI) in education has rapidly transformed the traditional classroom, opening new possibilities for both teachers and students. AI-powered tools can enhance the classroom environment by offering personalized, adaptive learning experiences tailored to individual student needs. From automated grading systems and AI-driven tutoring to intelligent content recommendations and predictive analytics, AI empowers educators to optimize their teaching strategies and engage students in more meaningful ways. However, the growing presence of AI in classrooms also raises critical questions about the role of human educators and the ethical implications of machine-based learning. The future of education lies not in replacing teachers with machines, but in creating synergistic environments where technology amplifies human creativity, empathy, and instructional expertise. Blending Human Intelligence With Technology in the Classroom offers a comprehensive exploration of how AI technologies redefine teaching methodologies, reshape learning experiences, and challenge existing pedagogical models. It bridges the gap between human intelligence and machine-driven solutions, demonstrating how AI-powered tools can enhance the classroom environment by offering personalized, adaptive learning experiences tailored to individual student needs. Covering topics such as critical thinking, gamification, and human connections, this book is an excellent resource for educators, administrators, computer engineers, policymakers, researchers, academicians, and more.