Call for Chapters: AI-Resilient Assessment Design in Higher Education for Integrity, Inclusion, and Authenticity

Editors

Patrice Seuwou, University of Northampton, United Kingdom

Call for Chapters

Proposals Submission Deadline: May 27, 2026
 Full Chapters Due: September 9, 2026
 Submission Date: September 9, 2026

Introduction

The rapid rise of Generative Artificial Intelligence (GenAI) is transforming higher education, particularly in how assessment, academic integrity and student learning are understood and practised. Traditional assessment approaches, often reliant on standardised tasks and detection technologies, are increasingly inadequate in addressing the complexities of AI-enabled learning environments. This edited volume responds to this urgent challenge by exploring how assessment can be redesigned to remain credible, inclusive and pedagogically meaningful. This book brings together international scholars and practitioners to examine how AI-resilient assessment design can support integrity, equity and authentic learning. It seeks to move beyond surveillance-based approaches and instead foreground design-led, ethical and student-centred practices.

Objective

This book aims to: 1. Advance theoretical and practical understanding of assessment design in the age of Generative AI 2. Explore how academic integrity can be embedded through inclusive and authentic assessment practices 3. Provide innovative, evidence-informed approaches that integrate AI as a learning tool rather than a threat 4. Contribute to interdisciplinary scholarship on AI, assessment, equity and pedagogy 5. Offer practical guidance and case studies to support educators, institutions and policymakers The volume will extend current research by bridging theory and practice, and by foregrounding issues of equity, inclusion and student partnership in AI-enabled assessment.

Target Audience

This book is intended for: 1. Academics, lecturers and researchers in higher education 2. Programme leaders, curriculum designers and academic developers 3. Institutional leaders and policymakers in teaching, learning and assessment 4. Researchers and postgraduate students in education, educational technology and assessment studies 5. Professionals involved in academic integrity, quality assurance and digital education It will particularly benefit those seeking to redesign assessment practices in response to Generative AI while maintaining academic standards, inclusivity and student engagement.

Recommended Topics

The book welcomes theoretical, empirical and practice-based contributions on topics including, but not limited to: - Generative AI and its implications for assessment in higher education - Rethinking academic integrity in AI-enabled learning environments - AI-resilient assessment design frameworks and models - Authentic, process-oriented and personalised assessment approaches - Universal Design for Learning (UDL) in assessment - Equity, Diversity and Inclusion (EDI) in AI-enabled education - Addressing bias and fairness in AI and assessment practices - Students as partners in assessment design - Ethical AI use and student assessment literacy - Active and blended learning approaches to assessment - Innovative assessment methods (e.g. portfolios, vivas, project-based learning) - Integrating AI into assessment design and evaluation - Institutional policies for AI and academic integrity - Staff development and capacity building in AI and assessment - Cross-disciplinary perspectives on AI-resilient assessment - Global and comparative approaches to AI in higher education

Submission Procedure

Researchers and practitioners are invited to submit on or before May 27, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 10, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by September 9, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, AI-Resilient Assessment Design in Higher Education for Integrity, Inclusion, and Authenticity. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

May 27, 2026: Proposal Submission Deadline
June 10, 2026: Notification of Acceptance
September 9, 2026: Full Chapter Submission
November 11, 2026: Review Results Returned
December 23, 2026: Final Acceptance Notification
January 6, 2027: Final Chapter Submission

Inquiries

Patrice Seuwou
University of Northampton
patrice.seuwou@northampton.ac.uk
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