Artificial Intelligence and Inclusive Education

Jeremy Knox is a Lecturer in Digital Education at the University of Edinburgh, UK, and Co-Director of the Centre for Research in Digital Education. His research interests include critical posthumanism, open education, and data-intensive technologies in teaching and learning. His published work includes critical perspectives on open educational resources, massive open online courses, and learning analytics.Yuchen Wang is a Research Associate & Tutor at the Institute for Education, Community and Society at the University of Edinburgh, UK. Her research focuses on inclusive education development, and in particular, the implications of student voice for transforming practice.Michael Gallagher is a Research Associate at the Centre for Research in Digital Education at the University of Edinburgh, UK, and Director and Co-Founder of a digital education and ICT4D consultancy. His research interests include teacher training, digital education, open learning, mobile learning, critical theory, cultural heritage, and ethical design.

• 1. Introduction.- Part 1: Theorising A.I. for Inclusive Education.- 2. AI, Human Evolution, and the Speed of Learning.- 3. (Post)Humanisim and Technological In/Exclusions.- 4. We Shape Our Algorithms; Thereafter They Shape Us.- Part 2: Challenges for A.I. and Inclusion.- 5. Towards Inclusive Education in the Age of Artificial Intelligence: Perspectives, Challenges and Opportunities.- 6. The Curriculum of Artificial Intelligence and the Curriculum of (Human) Tradition: Accumulated Advantages, 5G Networks, and Inclusion.- 7. A Solution for Inclusion? Chinese Teachers' Perceptions of Artificial Intelligence.- 8. Inclusive Education for Students with Chronic Illness - Technological Challenges and Opportunities.- Part 3: (‘Artificial’) Pedagogical Relationships.- 9. AI and Education: The Importance of Teacher and Student Relations.- 10. A Communication Model of Human-Robot Trust Development for Inclusive Education.- 11. The Consequences of Breakdowns in Children’s Interactions with a Robotic Tutor.- Part 4: Emerging Practices.- 12. An Evaluation of the Effectiveness of Using Pedagogical Agents and Life Coaches for Teaching in Inclusive Ways.- 13. AIED Meets Inclusive Educational Technology - the Technical State-of-Art and Possible Directions.- 14. Inclusive Vocational Education Supported by A.I..- 15. A.I. Influences on Practical Pretending, Escapism and Role Playing through Simulations in the Classroom.

“The book would be of great significance to researchers working in the fields of education, AI, and other branches of the social sciences.” (C K Raju, Computing Reviews, August 28, 2020)