AI for Research, Teaching and Assessment
The focus is on critically evaluating AI-generated outputs, designing purposeful prompts, and embedding AI use ethically and effectively into scholarly practice. Through guided demonstrations, collaborative exercises, and discussion, participants will leave with practical strategies and adaptable frameworks they can immediately apply in their own academic work.
Additional Details
Administrator - Fourie, Miss Lerissa
Audience - Researchers, lecturers, and academic staff.
Objectives - This hands-on workshop provides a deeper understanding of artificial intelligence in academic contexts and demonstrates practical ways to integrate it into everyday research and teaching practices. Participants will explore how AI can support cutting down on administrative work and rigorous research processes, from formulating questions to structuring outputs, as well as how it can be woven into teaching, learning, and assessment in ways that enhance, rather than replace, academic expertise. The focus is on critically evaluating AI-generated outputs, designing purposeful prompts, and embedding AI use ethically and effectively into scholarly practice. Through guided demonstrations, collaborative exercises, and discussion, participants will leave with practical strategies and adaptable frameworks they can immediately apply in their own academic work.
Course ID - 337568
Composite ID - 337568
Total Duration - 7 Hour(s)