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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 Childrens 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.

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