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Next-generation AI methodologies in ...

Cela, Eriona.

Next-generation AI methodologies in education

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Next-generation AI methodologies in educationEriona Cela, Narasimha Rao Vajjhala, Mathias Mbu Fonkam, editors.
其他題名:	Next-generation artificial intelligence methodologies in education
其他作者:	Fonkam, Mathias Mbu,
出版者:	Hershey, Pennsylvania :IGI Global Scientific Publishing,2025.
面頁冊數:	1 online resource (xxix, 576 p.)
標題:	Artificial intelligenceEducational applications.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7220-3
ISBN:	9798369372227$q(ebook)

Next-generation AI methodologies in education
Next-generation AI methodologies in education[electronic resource] /Next-generation artificial intelligence methodologies in educationEriona Cela, Narasimha Rao Vajjhala, Mathias Mbu Fonkam, editors. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xxix, 576 p.) - Advances in educational technologies and instructional design (AETID) book series. - Advances in educational technologies and instructional design (AETID) book series..

Includes bibliographical references and index.

Foreword -- Preface -- Chapter 1. Artificial Intelligence in Education: Foundations, Trends, and Implications -- Chapter 2. Applications of Artificial Intelligence in Education -- Chapter 3. Emerging Trends of AI Technologies in theHigher Education Sector: A Case of India and Kazakhstan -- Chapter 4. Key Drivers of Artificial Intelligence on Learner Engagement and Experience -- Chapter 5. Exploring the Potentiality of Artificial Intelligence in the Higher Education System: Perceptions of Undergraduate Students in West Bengal, India -- Chapter 6. AI in Assessment and Feedback -- Chapter 7. Integrated Use of AI Educational Platforms -- Chapter 8. An Analysis of Cloud Computing in Game Theory -- Chapter 9.Student Adoption of AI Writing Tools: A PLS-SEM and TAM-Based Analysis in Moroccan Higher Education -- Chapter 10. Multimodal Classification of the Arabic Alphabet: An Artificial Intelligence Approach for Handwriting, Sign Language, and Braille -- Chapter 11. Generative Artificial Intelligence and the 4C Learning Skills for the 21st Century -- Chapter 12. Transforming Hybrid Service-Learning With Generative AI: The LivePBL Ada-Rob Communication Skills Design Approach -- Chapter 13. The Future of AI in Education: Predictions and Emerging Trends -- Chapter 14. Artificial Intelligence in Education: Emerging Trends, Ethical Considerations, and Future Directions -- Chapter 15. Identifying the Applications of Artificial Intelligence in Educational Entrepreneurship Development: A Qualitative Research Based on Thematic Analysis -- Compilation of References -- About the Contributors -- Index.

"Next-generation artificial intelligence (AI) methodologies revolutionize education landscapes, offering innovative approaches to enhance learning experiences and streamline administrative processes. These cutting-edge technologies utilize machine learning, natural language processing, and adaptive algorithms to create personalized learning environments tailored to individual student needs. By harnessing data-driven insights, educators can identify learning gaps, facilitate collaborative experiences, and foster critical thinking skills. As AI evolves, further research into its integration in education may improve academic outcomes while preparing students for digital literacy and adaptability. Next-Generation AI Methodologies in Education explores the intersection of AI and educational practices, examining how AI revolutionizes teaching methodologies in secondary schools and colleges. It investigates the emerging discipline of AI-driven education, highlighting its potential to enhance personalized learning, increase educational accessibility, and transform traditional pedagogical methods. This book covers topics such as pre-service teaching, professional development, and digital technology, and is a useful resource for computer engineers, education professionals, academicians, business owners, researchers, and scientists."--

Mode of access: World Wide Web.

ISBN: 9798369372227$q(ebook)Subjects--Topical Terms:

203570
Artificial intelligence
--Educational applications.Subjects--Index Terms:

Artificial Intelligence (AI)Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: LB1028.43 / .N49 2025eb

Dewey Class. No.: 371.33/4

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