How to Assess Postgraduate Dissertations and Theses in the Age of AI and Agentic AI

This video explores how postgraduate assessment must evolve in response to the rapid rise of Artificial Intelligence and emerging Agentic AI systems. As students increasingly use AI to support literature reviews, data analysis, writing, and argument development, traditional assessment frameworks are being challenged. This raises critical questions for supervisors, examiners, and universities: How do we assess originality when AI is part of the research process? What counts as independent intellectual contribution in AI-assisted work? How should rubrics, examiner reports, and feedback practices change? Can we still evaluate “authorship” in the same way? What does critical thinking look like in AI-augmented research? This presentation offers a forward-looking approach to postgraduate assessment, focusing on fairness, transparency, and academic integrity while recognising the realities of AI-assisted scholarship. It also introduces practical ideas for redesigning assessment tools such as rubrics, thesis evaluation templates, and supervision practices to better reflect the AI era. #Hashtags #AIinHigherEducation #PostgraduateResearch #ThesisAssessment #AcademicWriting #GenerativeAI #AgenticAI #AcademicIntegrity #HigherEducation #ResearchEthics #PhDResearch #MastersResearch #Supervision #AssessmentDesign #Universities