Book
Trust and inclusion in AI-mediated education: where human learning meets learning machines
Postdigital Science and Education, Springer
2024
Appears in Recent Books by UI Authors
Abstract
Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines is a resource for researchers and practitioners in a field where the mainstreaming of AI technologies, and their increased capacities for deception, have produced confusion and fear. Identifying theoretical frameworks and practices in teaching with and training trustworthy and inclusive AI technology sheds light on the new challenges and opportunities for learning machines and their intersections with human learning. The book looks into the history of developing AI technology and algorithms. It offers theoretical models for best practices, interpretation, and evaluation, taking into account especially the needs of contemporary learners and their advanced literacies in cyber-social environments. The book presents in-depth analyses of recent and ongoing applications of state-of-the-art AI technologies in learning environments and classrooms assessments, ending with an interview with George Ritzer on McDonaldization and Artificial Intelligence.
Details
- Title: Subtitle
- Trust and inclusion in AI-mediated education: where human learning meets learning machines
- Creators
- Dora Kourkoulou (Editor)Anastasia-Olga Tzirides (Editor)Bill Cope (Editor)Mary Kalantzis (Editor)
- Resource Type
- Book
- Table of contents
- Part I Coming of Age with AI in Education. 1. On Cyber-Social Learning : A Critique of Artificial Intelligence in Education / Bill Cope and Mary Kalantzis ; 2. Generative AI and Its Educational Implications / Kacper Lodzikowski, Peter W. Foltz, and John T. Behrens ; 3. AI in Education : Some Thoughts About Ethics, Equity, and Social Impact / John W. Jones ; 4. Building Trust in AI Education : Addressing Transparency and Ensuring Trustworthiness / Nikoleta Polyxeni 'Paulina' Kastania -- Part II: Areas of Emerging Interest. 5. Applications of Explainable AI (XAI) in Education / Qianhui Liu, Juan D. Pinto, and Luc Paquette ; 6. Deep Learning for Educational Data Science / Juan D. Pinto and Luc Paquette ; 7. Exploring the Educational Frontier : A Deep Dive into VR and AI-Enhanced Learning Environments / Akash Kumar Saini and Matthew Montebello ; 8. Enhancing Inclusivity : Exploring AI Applications for Diverse Learners / Shafagh Hadinezhad, Sourabh Garg, and Robb Lindgren -- Part III Work on the Grounds. 9.Emotion Recognition Self-Regulated Learning : Advancing Metacognition Through AI-Assisted Reflections / Si Chen, Haocong Cheng, and Yun Huang ; 10. A Quantitative Investigation of Graduate Student Perceptions of Human-Generated and AI-Generated Reviews in a Cyber-Social Learning Platform / Christopher Hughes, Anastasia-Olga (Olnancy) Tzirides, and Akash Kumar Saini ; 11. Using ChatGPT to Assist Writers with Planning Writing Tasks in an EFL Classroom / Yu-ling You, Axson Lin, Shu-Jhen Han, Chiao-Chu Chu, and Chih-Yun Dai ; 12. Artificial Intelligence Integration in Translingual Language Learning: Enhancing Communication and Digital Literacy / Anastasia-Olga (Olnancy) Tzirides ; 13. Generative AI Application in Higher Education Student Work / Anastasia-Olga (Olnancy) Tzirides, Akash Kumar Saini, Gabriela Zapata, Duane Searsmith, Bill Cope, Mary Kalantzis, Vania Castro, Dora Kourkoulou, John W. Jones, Rodrigo Abrantes da Silva, Jen Whiting, and Nikoleta Polyxeni 'Paulina' Kastania -- Epilogue: McDonaldization and Artificial Intelligence -- Postscript: And Now What?
- Publisher
- Springer; Cham
- Series
- Postdigital Science and Education
- ISBN
- 3031644867; 9783031644863
- ISSN
- 2662-5326
- Format
- xxxi, 324 pages : illustrations (some color) ; 24 cm
- Number of pages
- xxxi, 324 pages
- Language
- English
- Date published
- 2024
- Academic Unit
- Teaching and Learning
- Record Identifier
- 9984757747502771
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