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Artificial intelligence for advancing education quality and inclusion practices across educational settings Tianchong Wang, Therese Keane, editors

Springer Nature - Springer Education (R0) eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Wang, Tianchong.
Contributor:
Wang, Tianchong, editor.
Keane, Therese, editor.
Series:
Advances in artificial intelligence in education 3004-9911 volume 4
Language:
English
Subjects (All):
Artificial intelligence--Educational applications.
Artificial intelligence.
Physical Description:
1 online resource
Place of Publication:
Cham Springer [2026]
Summary:
This volume illuminates the transformative potential of Artificial Intelligence (AI) in shaping the future of learning, particularly in terms of advancing quality and inclusion across educational settings. It explores the diverse ways AI technologies can be harnessed to enhance pedagogical practices, enrich learning experiences, improve educational outcomes, widen access to quality knowledge sources, and empower minds for all. It thereby aligns with the broader objectives of promoting education quality and inclusion for all as outlined in the United Nations' SDG4 - Education 2030 agenda. This book combines multidisciplinary perspectives, offering a comprehensive view on AI in Education (AIED) practices geared towards quality and inclusion. Through a curated collection of evidence-based research, the volume offers pragmatic insights into the intricate AIED nexus
Contents:
Part I. Overview and Global Perspectives
Chapter 1. Innovative Approaches: Advances in Artificial Intelligence in Education
Chapter 2. A Desk Review of Generative AI in K-12 Education: Current State of Knowledge and Global Integration Approaches
Chapter 3. Beyond the Basics: Unravelling AI Education Policies and Practices in Asia-Pacific
Part II. Teacher Preparation and Professional Development
Chapter 4. Teachers' AI Competency: Reflecting TPACK Implications for Quality and Inclusion
E-TPCK: Teachers' developing knowledge of Artificial Intelligence through quality engagement
Chapter 6. Australian initial teacher educators' perspectives on artificial intelligence
Chapter 7. Who Is Guiding This Ship?: Disciplinary Professional Organisations Guidance for Teachers Using Generative Artificial Intelligence to Develop Culturally Responsive Materials
Chapter 8. Enchanting Learning: Generative AI and Fairy Tale Interpretations in Teacher Education
Chapter 9. Teacher-led innovations with generative AI: A case study of Australian teachers
Part III. Age-Appropriate AI Education and Curricula
Chapter 10. Building Foundations: AI literacy for young children
Chapter 11. AI curricula in primary and early childhood education: A cross country analysis of implementation
Chapter 12. Develop an Artificial Intelligence (AI) Literacy program for Lower Primary School Students in the AI Era: Suggestions for Primary School Teachers
Chapter 13. Computational Thinking in Engineering Design (CTED): An Inclusive Teaching and Learning Framework for Early Childhood STEAM Education in the Industrial 4.0 Era
Chapter 14. Concealing Machine Learning Concepts from K-12 Students
Part IV. AI-Enhanced Pedagogy and Subject-Specific Applications
Chapter 15. Signature pedagogies for AI: Exploring Multidisciplinary Case Studies and Pedagogical Implications
Chapter 16. AI Literacy and Differentiated Learning in Programming among Lower Secondary School Students Interacting with LLMs
Chapter 17
Using Chatbots to empower mathematics learning
Chapter 18. Leveraging Artificial Intelligence in Education: A Pathway to Enhanced Teaching and Learning in Schools
Chapter 19. EFL Students' Attitudes and Contradictions in a Machine-in-the-loop Writing Activity System
Part V. AI-Driven Learning Platforms and Assessment
Chapter 20. Scaffolding problem solving: An AI approach
Chapter 21. Reverse Engineering Lesson Planning using AI with Novice Pre-service Teachers
Chapter 22. Reconceptualising Higher Education Learning and Assessment in the Era of AI: New Approaches, New Capabilities
Chapter 23. Collaborative Natural Language Processing for Automatic Scoring of Open-ended Questions in Science Education
Part VI. Equity, Inclusion, and Social Considerations
Chapter 24. Transformation of communication in school environments through the application of generative AI on an informed basis
Chapter 25. Enhancing Digital Learning Capabilities in the Context of Generative AI in Rural Communities: Empowerment through Learning Support in a Japanese Island Setting Using the Capability-Driven Digital Education Framework
Chapter 26. Exploring the potential of AI in nurturing learner empathy, pro-social values and environmental stewardship
Chapter 27. Understanding the Double-Edged Sword: Student Perspectives on Generative AI and Gender Inclusion in Primary and Secondary Schools (Preparatory- Year 11)
Chapter 28. Evaluation of ChatGPT's Role in Personalised Learning within the Universal Design for Learning Framework
Chapter 29. Teachers' perspective on AI-based Multi-Agent Simulation Design to Combat School Bullying
Chapter 30. Integrating Generative AI with digital learning tools for inclusive education
Part VII. Current and Future Directions
Chapter 31. Current and Future Direction of AI in Education
Notes:
Includes index
Online resource; title from PDF title page (SpringerLink, viewed May 26, 2026)
Other Format:
Print version Wang, Tianchong Artificial Intelligence for Advancing Education Quality and Inclusion
ISBN:
9783032121745
3032121744
OCLC:
1592862106
Access Restriction:
Restricted for use by site license

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