The workshop “From Academic Foundations to Sense-Making: Using Library Resources and AI for Interview-Based Case Studies” was successfully delivered to students of MGT6007 – Special Issues in Entrepreneurial Management.
The session was co-facilitated by Ms Jenny Chan (Library) and Mr Kelvin Wan (Centre for Teaching and Learning – Digital Learning Section), and was designed to support students’ interview-based mini case study assignment by guiding them through the full research-to-analysis workflow.
In the first part of the workshop, Ms Jenny Chan introduced how students can leverage library resources—including business news, company profiles, annual reports, and case studies—to establish a strong academic and evidence-based foundation for their case studies. Live demonstrations showcased how these resources can be used alongside AI tools to support credible literature review, while maintaining responsible and ethical research practices.
Building on this foundation, Mr Kelvin Wan (CTL – Digital Learning Section) focused on the use of AI as a learning partner for post-interview sense-making. Using NotebookLM as an example of a Retrieval-Augmented Generation (RAG) tool, students explored how AI can support the organisation and synthesis of interview transcripts, notes, and multiple sources. Emphasis was placed on the importance of human judgment, particularly in interpreting context, tone, and meaning beyond what AI-generated outputs can capture.
Throughout the workshop, the facilitators highlighted the responsible and critical use of AI in academic work, clarifying the respective roles of students and AI tools in qualitative, interview-based research. The session reinforced that strong mini case studies are built not only on data and tools, but on students’ ability to evaluate evidence, interpret context, and make informed judgments.
Facebook
Twitter
LinkedIn
Email