AI for Inclusive Education
Advancements in Assessment, Diagnosis, and Intervention
- 1st Edition - May 1, 2027
- Latest edition
- Editors: Somaya Al-Maadeed, Moutaz Saleh, Muthu Rajesh Kumar
- Language: English
AI for Inclusive Education: Advancements in Assessment, Diagnosis, and Intervention is a comprehensive guide to artificial intelligence's (AI) potential to revolutionize inclus… Read more
Description
Description
AI for Inclusive Education: Advancements in Assessment, Diagnosis, and Intervention seeks to equip the reader with innovative tools and approaches grounded in AI to personalize learning experiences, diagnose learning difficulties, and deliver targeted interventions. Additionally, it aims to inspire collaboration among stakeholders in education and technology to drive positive change and advance the cause of inclusive education worldwide.
AI for Inclusive Education: Advancements in Assessment, Diagnosis, and Intervention empowers educators, researchers, policymakers, and advocates to harness the transformative potential of AI in fostering equitable and accessible learning environments for all students.
Key features
Key features
- Provides an overview of the effects of generative artificial intelligence (AI) on academia
- Considers the positive contribution that AI can have on education, while also discussing the potential downsides
- Offers real-world examples and practical explanations in order to understand the effects of AI on the work of academics
- Explores the future of AI in academia
Readership
Readership
Table of contents
Table of contents
2. Understanding Inclusive Assessment Practices
3. Leveraging AI for Personalized Learning
4. AI-Powered Diagnosis of Learning Difficulties
5. Adaptive Intervention Strategies with AI
6. Ethical Considerations in AI-Enhanced Education
7. Case Studies: Implementing AI in Inclusive Classrooms
8. Professional Development for Educators in AI-Enhanced Practices
9. Parental Engagement and AI in Inclusive Education
10. Future Directions: Emerging Trends in AI and Inclusive Education
Product details
Product details
- Edition: 1
- Latest edition
- Published: May 1, 2027
- Language: English
About the editors
About the editors
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Somaya Al-Maadeed
Somaya Al-Maadeed received a Ph.D. in computer science from the University of Nottingham, U.K. 2004. She is currently with the Department of Computer Science and Engineering, Qatar University, Doha, Qatar, and the Computer Vision and AI Research Group Coordinator. She enjoys excellent collaboration with national and international institutions and industry. She is a Principal Investigator of several funded research projects generating approximately five million. She has published extensively in the fields of pattern recognition, computer vision, and machine learning. She has attended workshops on higher education strategy, assessment methods, and interactive teaching. Dr. AlMaadeed was elected as the IEEE Chair for the Qatar Section in 2015.
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Moutaz Saleh
Moutaz Saleh received a Ph.D. degree in computer science from the University of Kebangsaan Malaysia in 2008. He is currently an assistant professor in the Department of Computer Science and Engineering at Qatar University. His research interests include assistive technology, adaptive learning, computer vision, and artificial intelligence. He has published over 70 refereed articles in reputable international journals and conferences. He has served as a Technical Program Committee for Elsevier Computer Communications, IEEE Transactions on Learning Technologies, Springer Journal Education and Information Technologies, Springer Journal Multimedia Tools and Applications, IEEE Access, and IEEE (LCN, ICT, AICCSA, APCC, GCC, ICC, EDUCON, and TALE) conferences. He received several professional awards and collaborated as a principal investigator in multiple internal and externally funded research projects.
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