Adopting artificial intelligence tools in higher education : teaching and learning / Edited by Thangavel Murugan, Karthikeyan Periasamy and A.M. Abirami.
Editor: Boca Raton : Routledge,Taylor & Francis Group, [2025]Descripción: 1 online resource (237 pages)Tipo de contenido:- text
- computer
- online resource
- 9781040252116
- 9781003469315
- 9781032746654
- 9781040358993
- 371.35/8028563 23/eng/20240703
- LB1028.43 .A367 2025
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro electrónico | Biblioteca de Mayagüez Acceso en línea | LB1028.43 .A367 2025 (Navegar estantería(Abre debajo)) | c. 1 Ebook | Disponible | 52000003299342 |
Descripciones mejoradas de Syndetics:
This book offers a modern exploration of the intersection of technology and education. It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education.
Each chapter discusses a different area where AI can enhance the educational landscape, such as AI integration in higher education and immersive virtual reality-based learning environments. The book also emphasizes student-centered learning, AI-powered frameworks for academic excellence, and learner-centric pedagogies. Furthermore, it delves into the role of AI in personalized learning in STEM courses, the development of AI-based tutoring systems, and the use of machine learning to identify students' mental health status. The volume concludes with "Dynamic Horizon," which examines how AI and gamification are shaping higher education.
This book is essential for educators, administrators, researchers, and policymakers who want to leverage AI to create an adaptive, personalized, and engaging learning environment. Adopting Artificial Intelligence Tools in Higher Education provides valuable insights into the future of education, paving the way for a more empowered and enlightened academic world.
Includes bibliographical references and index.
1. AI-Driven Evaluation Techniques: Revolutionizing Student Practices -- 2. Inclusive Learning and Assessment in the Era of AI --3. Automated Grading Systems: Enhancing Efficiency and Consistency in Student Assessments -- 4. The Potential and Drawbacks of Machine Learning for Student Assessment -- 5. NLP-Driven Approaches to Automated Essay Grading and Feedback -- 6. Enhancing Learning Outcomes for the Dyslexic Students Using AI-Powered Assistants -- 7. Transforming Education through AI-Powered Personalized Assessment Models -- 8. Enhancing Student Engagement and Success in Post-COVID-19 through AI Technologies --9. AI Tools for Plagiarism Detection and Academic Integrity -- 10. Unlocking Potential: Personalizing Learning and Assessment with Cutting-Edge Technologies -- Index.
"The book offers a modern exploration of the intersection of technology and education. It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education. Each chapter discusses a different area where AI can enhance the educational landscape, such as AI Integration in Higher Education and Immersive Virtual Reality-Based Learning Environments. The book also emphasizes Student-Centered Learning, AI-powered frameworks for academic excellence, and Learner-Centric Pedagogies. Furthermore, it delves into the role of AI in Personalized Learning in STEM courses, the development of AI-based Tutoring Systems, and the use of Machine Learning to identify students' mental health status. The volume concludes with "Dynamic Horizon," which examines how AI and gamification are shaping higher education. This book is essential for educators, administrators, researchers, and policymakers who want to leverage AI to create an adaptive, personalized, and engaging learning environment. "Adopting Artificial Intelligence Tools in Higher Education" provides valuable insights into the future of education, paving the way for a more empowered and enlightened academic world"-- Provided by publisher.
Description based on print version record and CIP data provided by publisher.
Notas de autor provistas por Syndetics
Thangavel Murugan is an Assistant Professor in the Department of Information Systems and Security, College of Information Technology, United Arab Emirates University, Abu Dhabi, United Arab Emirates. He earned a PhD at Madras Institute of Technology (MIT) Campus, Anna University, Chennai, and has more than 10 years of teaching and research experience. Dr. Murugan's research specializations include information security, high-performance computing, ethical hacking, cyberforensics, blockchain, cybersecurity intelligence, and educational technology.
Karthikeyan Periasamy is an Associate Professor in the Department of Information Technology at Thiagarajar College of Engineering (TCE), Madurai. In 2015, he earned a PhD in information and communication engineering at Anna University, Chennai, Tamil Nadu, India. He has published more than 55 papers in refereed international journals, conferences, and book chapters. Dr. Periasamy's research interests include computational intelligence algorithms and educational technology (ET).
A.M. Abirami is an Associate Professor in the Department of Information Technology, Thiagarajar College of Engineering, Madurai. In 2018, she earned a PhD in text analytics and semantic web at Anna University Chennai. Dr. Abirami has nearly 25 national/international conference publications, 10 national/international journal publications, and five book chapters in the area of text analytics and engineering education. Her research interests include data analytics, natural language processing, text analytics, semantic web technologies, and education technology.