Скачать или смотреть Generative AI in Education: Cultivating Potential while Navigating Shadows by Prof Dragan Gasevic

[17 January 2024]

00:00 Introduction & speaker bio; talk title
05:54 Key takeaways: promise, concerns, need for deeper research
08:41 Promise 1 — AI tutoring/guidance (e.g., Khanmigo; code debugging/explanations)
11:48 Promise 2 — Teaching support & content generation (prompting strategies; GPT-Teach)
15:33 Promise 3 — Automated feedback & learning analytics (SRL tools; “data comics”)
22:49 Assessment opportunities: feasible, continuous, adaptive, authentic, modern
25:39 Concerns & ethics: reliability limits, workload paradox, privacy/consent, bias
34:08 Needs: AI literacy & new competencies; human–AI collaboration/regulation
39:27 Impact on learning: “fluency ≠ learning”; writing as a learning tool; demand for rigour
44:35 Conclusion: lead the change; BRAIL resource
45:58 Q&A begins
46:07 Q: Role of teachers—learning design + theory of learning + disciplinary guidance
50:36 Q: Institutional adoption—mostly reactive; examples (critique AI essays; Jill Watson)
1:00:19 Closing