Call for Chapters AI and Graduate Competencies: Emerging Skills in the Age of Intelligent Technologies
Artificial Intelligence is rapidly reshaping the competencies expected of today’s graduates. Employers across industries now emphasize digital fluency, analytical reasoning, ethical judgment, human–AI collaboration, and adaptability in AI-mediated environments. This edited volume seeks focused, evidence-based contributions that explore the essential skills graduates need to thrive in the AI era.
This book will feature five to seven concise chapters, each offering practical insights for higher education leaders, faculty, and policymakers who aim to redesign curricula for the future of work.
Scope and FocusChapters should address one or more dimensions of graduate-level competencies shaped by advances in AI. Submissions may include conceptual analyses, empirical studies, case examples, program models, or policy recommendations.
Suggested Chapter Themes-
AI Literacy as a Core Graduate Competency
Understanding AI concepts, tools, and limitations as essential knowledge for all disciplines. -
Human–AI Collaboration and Workplace Readiness
Skills that enable graduates to work effectively with AI systems, automation, and digital tools. -
Ethical Reasoning, Bias Awareness, and Responsible AI Use
Preparing graduates to evaluate fairness, privacy, transparency, and the societal implications of AI. -
Problem-Solving, Data Interpretation, and Critical Analytical Skills
Strengthening evidence-based reasoning and data-driven decision-making in AI-supported environments. -
Innovation, Adaptability, and Lifelong Learning in AI-Driven Industries
Competencies related to creativity, resilience, and continuous upskilling in rapidly evolving career fields.
Additional relevant topics may be considered if aligned with the central theme.
Submission Guidelines | online submission form-
Chapter length: Maximum 4,000 words, including references.
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Format: APA 7th edition.
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Audience: Higher education professionals, faculty, graduate program directors, and researchers.
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Review process: Peer-reviewed.
Send your chapters /abstracts to Prof. Dr. Viraiyan Teeroovengadu, University of Mauritius, v.teeroovengadum@uom.ac.mu


