1st Edition

AI Based Solutions for Inclusive Quality Education

158 Pages 13 B/W Illustrations
by CRC Press

158 Pages 13 B/W Illustrations
by CRC Press

AI Based Solutions for Inclusive Quality Education helps readers discover practical AI tools for diverse learning styles and abilities, fostering inclusivity in education and maximizing the individual potential of students and educators. It provides cutting-edge solutions designed to remove barriers due to accessibility and create an equitable classroom. Through practical applications and case... Read more

1. Transformative Power of Artificial Intelligence in the Educational Context 

K.M. Soni, Nitasha Hasteer, Rahul Sindhwani et al.

 

2. Leveraging AI to Foster Inclusive Quality Education in Higher Educational Institutes

Rahul Sagwal, Abhinav Sharma, and Janakarajan Ramkumar

 

3. AI and Inclusive Education: Enhancing Equity, Engagement, and Excellence

Neha Kumari and Bhairab Chandra Patra

 

4. Artificial Intelligence Tools for Instructor and Learner to Optimize the Teaching and Learning Processes

Pallavi Upadhyay, Harshit Bhardwaj, and Pradeep Tomar

 

5. Artificial Intelligence – A Digital Architect for Curriculum Development

Shreya Tyagi, Taranjeet Duggal, and Srishti Singh Kaira

 

6. Artificial Intelligence Based Automated Instructor Feedback System for Education and Research

Vinita Yadav and Pradeep Tomar

 

7. Enhancing Teacher Preparation for Integrating Computational Thinking through Unplugged Activities: Utilizing Learning Styles and MBTI Personality Types

Rajesh Kumar Modi, Ayushman Pranav, Umesh Gupta et al.

 

8. Revolutionizing AI to Break Down Barriers in Education for Children with Special Needs

Srishti Singh Kaira, Shreya Tyagi, and Taranjeet Duggal

Biography

K.M. Soni is a Professor at Amity School of Engineering & Technology, Dy. Dean (Eng. & Tech.), In-charge of Ph.D. Dept. AUUP. He has over 25 years of teaching, research, and academic administrative experience. He has authored several books on Circuits and Systems, Signals and Systems, and Advanced Control Systems etc. He has authored over 50 technical research papers in refereed conferences and journals and has served as a Reviewer, Programme Committee Member, and Session Chair of National & International Conferences in India and abroad. He is an Assessor of the National Assessment and Accreditation Council (NAAC), Govt. of India. His current research interests are in Power Electronics, Power Systems, Advanced Control Systems, Signal Processing, IoT, Artificial Intelligence, Education Technology, and other related areas.

Nitasha Hasteer is a Professor & Head of the Information Technology Department, and Deputy Director (Academics) at the Amity School of Engineering & Technology, Amity University Uttar Pradesh. She holds a Ph.D. in Computer Science & Engineering and has over 24 years of teaching, research, and consultancy experience across academia and industry. Her primary research interests lie in Education Technology, Crowdsourced Software Development, Software Project Management, and Process Modeling using Multi-Criteria Decision-Making Techniques. Dr. Hasteer has made significant contributions to these fields, publishing more than 80 research papers in renowned international journals & conferences and has served on the editorial boards of several high-impact international conferences and journals.

Aditi Bhardwaj is an Assistant Professor in the Computer Science and Engineering Department at Amity University, Noida Uttar Pradesh. With over five years of teaching and research experience, Dr. Bhardwaj has established herself as a respected authority in Artificial Intelligence and Machine Learning. Her research contributions have been widely published by IEEE, Elsevier, Taylor & Francis etc. She has been an editor and co-editor of various books published by different publishers.

Rahul Sindhwani is an Assistant Professor at the Indian Institute of Management, Sambalpur- Odisha, India. With over 10 years of experience in teaching and research, he has made significant contributions to the academic community through his research work, which has been published in highly regarded journals. His expertise lies in the areas of Decision Science, Quantitative Techniques, Sustainability, Operations Management, etc.

J. Paulo Davim is a Professor at the Department of Mechanical Engineering of the University of Aveiro, Portugal. He has more than 30 years of teaching and research experience in Manufacturing, Materials, Mechanical and Industrial Engineering, Engineering Education and Higher Education for Sustainability. Presently, he is an Editorial Board member of 30 international journals, has published as editor and co-editor more than 125 books and as author and co-author more than 10 books, 80 book chapters and 400 articles in journals and conferences.