Call for Contribution to an Edited Volume

Dear Colleagues,

We are pleased to invite you to contribute to an upcoming edited volume titled:

Ethical Challenges and Practical Applications of AI in Education:
Equitable and Effective Implementation

This volume will be published as part of the *Advances in Artificial Intelligence in Education* series by Springer Nature.

Editors

  • Dr. Irina Engeness (Professor, Østfold University College, Norway)
  • Dr. Halvdan Haugsbakken (Associate Professor, Østfold University College, Norway)
  • Dr. Leonora Bergsjø (Associate Professor, Østfold University College, Norway)
  • Dr. Marianne Hagelia (Associate Professor, Østfold University College, Norway)

Scope and Contributions

This edited volume offers a comprehensive, research-informed exploration of how artificial intelligence (AI) is transforming education across a variety of contexts. It aims to bridge theoretical foundations with practical strategies, providing both conceptual insights and hands-on guidance for educators, researchers, policymakers, and ed-tech professionals.

We seek contributions that critically engage with AI in education through theoretical, empirical, and practice-oriented research. Submissions may come from monodisciplinary, multidisciplinary, interdisciplinary, or transdisciplinary perspectives, and should offer insight into how AI reshapes pedagogy, learning environments, and institutional practices.

We welcome chapters that address (but are not limited to) the following focus areas:

  • Theoretical Foundations of AI in Education
  • Strategies for Constructive and Ethical AI Implementation
  • Context-Specific Applications and Limitations
  • AI for Language Learning

This volume aims to provide interdisciplinary insights into the evolving role of AI in education and invites contributions that are theoretically grounded, empirically rich, and pedagogically relevant.

Keywords

Artificial Intelligence in Education, AI Chatbots, Large Language Models (LLMs), Ethical Use of AI, Assessment with AI, Personalized Learning

Submission Guidelines

We invite potential contributors to submit a title and extended abstract (600–700 words, excluding references). Abstracts should clearly outline the research questions, theoretical framework, methodology (if applicable), and expected contribution to the field. A standardized chapter template will be provided to maintain coherence across the volume.

Timeline

Undertaking Due Date
Call for chapters sent to potential contributors April 2025
Submission of a title and abstract (600–700 words, excluding references) 1 October 2025
Notification of abstract acceptance & invitation to submit full chapter 15 November 2025
Submission of full book proposal to Springer (by editors) 15 January 2026
Submission of full chapters by authors 15 May 2026
Review comments sent to authors 30 September 2026
Submission of revised chapters 15 December 2026
Acceptance of chapters based on review outcomes 15 February 2027
Volume sent to Springer 10 March 2027
Estimated publication date September/October 2027

Submission Instructions

If you are interested in contributing to this volume, please send your title and abstract (in a single Word file) to:

by 1 October 2025.

Please feel free to share this call with colleagues or networks who may be interested. If you have any questions, don’t hesitate to contact us. 

Warm regards,

Irina, Halvdan, Leonora, and Marianne

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Published June 27, 2025 12:13 PM - Last modified Feb. 9, 2026 1:54 PM