Published 25 June 2023
Much has been happening in recent weeks on the Generative AI front at UNSW, both centrally and within the schools and faculties. Here, we highlight some of the key latest developments that can be helpful for our teaching and education colleagues.
Gen AI: conversation starter guide
Find advice on how to talk to your students about the use of ChatGPT and Gen AI tools, with the Turnitin AI detection tool also in place. Colleagues from the PVCESE Portfolio and the Conduct & Integrity Office have outlined six different scenarios, providing helpful guidance for these conversations in a concise and user-friendly format.
Q&A session for students: recording and answers
On 7 June, a Q&A webinar was held for UNSW students. The panel answered key common questions around UNSW's perspective on the uses and implications of generative AI tools, how AI could shape the future of learning, and what that means for UNSW students. As not all questions had a chance to be addressed during the one-hour session, many more are answered on a student-facing page. Please let your students know that these are available (links below are accessible to everyone).
Case studies: AI in education and in teaching practice
Some of our UNSW academics were quick to embrace Gen AI and integrate it within their practice. Hear from some colleagues on their experiences and findings in short case study videos.
- Dr May Lim (UNSW Engineering) on helping her students use Elicit as a research tool in her course.
(And once you’ve watched May’s 4-min video, you might like to hear more in the event recording mentioned below!)
- Dr Sam Kirshner (UNSW Business) on using ChatGPT for support in statistical computing. Among the benefits of the approach, Sam found that his workload around FAQs on coding from his students dramatically decreased.
Recording: Teaching Ideas with ChatGPT/AI Workshop
Colleagues from Medicine & Health and from Engineering joined forces in organising this event on 19 June, with guest speakers Dr May Lim and Dr Peter Neal. May talked about her and her students testing elicit.org and GPT3.5 & GPT4 as personalised research and feedback tools, and then compared the feedback to that obtained from the teacher (May), Grammarly and Smarthinking. Peter delved into some insights from the multidisciplinary and multi-institutional benchmarking and analysis of ChatGPT vs. assessment, which resulted in a paper published in the European Journal of Engineering Education.