Pedagogical Impacts of ChatGPT and Knowledge-Driven Large Language Models

Date/Time
Date(s) - 24/08/2023
9:30 am - 4:00 pm

Location
Riverside East, Conference Suite (N204)


Registration is now open: https://www.eventbrite.com/e/sicsa-education-workshop-pedagogical-impacts-of-chatgpt-tickets-642898004237

Large Language Models (such as BERT, BLOOM, or ChatGPT), and their use in education, have been very topical in the last few months. There has been a steady increase of public and academic attention towards LLMs, with numerous open discussions and academic articles regarding the appropriateness of using these tools in education. When should they be used? When should they be limited? What are the ethical, moral and educational boundaries, and when is it appropriate to push these boundaries? What constitutes plagiarism? At the time of writing, many institutions are preparing or publishing position statements to their staff and students, with academics holding a number of different views on the topic.

This workshop proposes to open discussion on our collective experience of LLMs and associated tools within Computing-related subjects, and on a wider basis.

The Computing Education Research Group at RGU would like to invite you to submit a proposal to present your ideas and views on this topic. We anticipate that this will largely consist of computing faculty with an interest in education at any level, but those in similar roles from other fields may also be interested.

This Call for Submissions will be open until the 4 August 2023, and we hope to make decisions on acceptances during the following week.  Link for submissions: https://forms.office.com/e/EZPCfrX3HX

PROPOSED SCHEDULE
09:30-10:00 Registration
10:00-10:30 Keynote Speaker (TBA)
10:30-10:45 Coffee Break
10:45-12:00 Session 1: Presentations
12:00-13:00 BBQ Lunch overlooking the River (and Poster Session)
13:00-14:45 Session 2: Presentations
14:45-15:00 Tea Break
15:00-15:45 Session 3: Panel
15:45-16:00 Closing

Should you have any queries, please address them to Dr Mark Zarb – m.zarb@rgu.ac.uk

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