Using AI Ethically in Thesis Writing: A Practical Guide for Supervisors (Scopus AI & NotebookLM) скачать в хорошем качестве

Using AI Ethically in Thesis Writing: A Practical Guide for Supervisors (Scopus AI & NotebookLM)

In this Supervisor Development Programme (Module 3), Associate Professor Dr. Hassan Abuhassna delivers a hands-on, practice-oriented session on the ethical and effective use of Artificial Intelligence (AI) in thesis writing and research supervision. Rather than treating AI as a threat, this session reframes AI as a research assistant and thinking partner, when used responsibly and transparently. Supervisors are guided through real demonstrations of trusted academic tools, including Scopus AI and Google NotebookLM, with a strong emphasis on academic integrity, supervision practices, and postgraduate research quality. The session covers: How Scopus AI can support systematic literature reviews, thematic analysis, research gap identification, and validated instruments — all based on real, indexed publications How NotebookLM can be used to generate structured academic writing, summaries, mind maps, quizzes, and research overviews only from uploaded sources Why generative tools without sources (e.g., unrestricted ChatGPT use) pose risks such as hallucinated references Practical strategies for supervising students who use AI, including AI disclosure, prompt-based assessment, and ethical acknowledgement practices A realistic discussion on AI detection tools, their limitations, and fair assessment approaches in ODL and postgraduate education This session is especially valuable for: ✔️ PhD and Master supervisors ✔️ Research coordinators and programme leaders ✔️ Academics teaching research methodology ✔️ Institutions navigating AI policies in assessment 📌 Key message: AI will not replace supervisors — but supervisors who master AI will lead the future of research supervision. 🔑 Key Points / What You Will Learn The difference between AI that generates content and AI that analyses published research How to use Scopus AI for: Thematic and conceptual mapping Identifying research gaps Extracting validated instruments Exporting real references (APA-ready) How to use NotebookLM for: Source-based academic writing Reverse triangle introductions Mind maps, flashcards, quizzes, and audio summaries Why AI hallucination is a major risk in research — and how to avoid it Ethical supervision strategies for AI-assisted theses Why AI detection tools are unreliable — and what supervisors should do instead How to assess students’ AI prompts to measure critical thinking Best practices for AI disclosure and acknowledgement in theses and journal submissions YouTube Chapters 00:00 Introduction & session objectives 04:30 Why Scopus AI is different from ChatGPT 08:20 Live demo: Scopus AI literature analysis 18:45 Concept maps, emerging themes & topic experts 26:30 Deep Search: building an SLR in minutes 34:00 Using NotebookLM for source-based writing 43:30 Writing an introduction using the reverse triangle 52:00 Comparing NotebookLM vs ChatGPT 01:00:30 AI detection myths and realities 01:12:00 Ethical supervision & prompt-based assessment 01:25:00 Designing AI-resilient assessments 01:30:00 Final reflections: mastering AI as supervisors 📌 Suggested Hashtags #AIinEducation #ThesisSupervision #ScopusAI #NotebookLM #ResearchMethods #PhDSupervision #AcademicIntegrity #SupervisorDevelopment #ODL #PostgraduateResearch