Artificial intelligence and inclusive education : speculative futures and emerging practices / Jeremy Knox, Yuchen Wang, Michael Gallagher, editors
نوع المادة : نصاللغة: الإنجليزية السلاسل:Perspectives on rethinking and reforming educationالناشر:Singapore : Springer, 2019وصف:xiii, 206 pages : illustrations ; 24 cmنوع المحتوى:- text
- unmediated
- volume
- 9789811381607
- 9789811381614
- 9811381615
- LC1200 .A78 2019
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | LC1200 .A78 2019 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30020000208039 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
LC1200 .A28 2019 Action research for inclusive education : participation and democracy in teaching and learning / | LC1200 A56 2007 Understanding the development of inclusive schools / | LC1200 A56 2007 Understanding the development of inclusive schools / | LC1200 .A78 2019 Artificial intelligence and inclusive education : speculative futures and emerging practices / | LC1200 B66 2003 Developing inclusive teacher education / | LC1200 B66 2003 Developing inclusive teacher education / | LC1200 C66 2005 Contextualizing inclusive education : evaluating old and new international perspectives / |
Includes bibliographical references
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
This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning. To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and 'smart software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to 'personalise learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by 'big data