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This is a short introduction to ChatGPT for people teaching in higher education, created in January 2023 and updated until this version was saved in February 2023. The resource is a slide deck which you are free to modify and update (since this is a fast-moving topic). No prior knowledge of AI or chatbots is necessary to use the slides.
The resource may be helpful to any colleagues working with academics who are concerned about the arrival of artificial intelligence chat systems and their use in higher education. The resource includes some basic information but also links to useful additional resources and research if people wish to learn more. It is not a comprehensive guide to artificial intelligence but would work well as an introduction, and perhaps to allay immediate concerns about this topic. Some potential opportunities arising from apps like ChatGPT are highlighted, and also some ethical issues for consideration. The resource could supplement those of the National Forum and the National Academic Integrity Network (QQI) which are important to access also in relation to this topic.
Creative Commons Attribution-NonCommercial (CC BY-NC)
This work is licensed under a CC BY-NC license, permitting sharing and adaptation for non-commercial purposes with proper attribution.
https://creativecommons.org/licenses/by-nc/4.0/If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
This OER is targeted at lecturers and describes an inclusive framework to integrate artificial intelligence (AI) learning design at third level.
This report draws on Patricia Gibson’s research around critical approaches to Artificial Intelligence (AI) in Education and the increasing automation of Educational Technologies (EdTech).
This resource was created to share the learning from teaching adults with intellectual disabilities (ID) in IADT college as part of a national suite of pilot projects.
Comparing student and educator perceptions of generative artificial intelligence for teaching, learning and assessment: results from two institutional surveys
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