Generative AI: Implications and Applications for Education

Olga, Anastasia; Saini, Akash; Zapata, Gabriela; Searsmith, Duane; Cope, Bill; Kalantzis, Mary; Castro, Vania; Kourkoulou, Theodora; Jones, John; Abrantes da Silva, Rodrigo; Whiting, Jen; Polyxeni Kastania, Nikoleta

Abstract

The launch of ChatGPT in November 2022 precipitated a panic among some educators while prompting qualified enthusiasm from others. Under the umbrella term Generative AI, ChatGPT is an example of a range of technologies for the delivery of computer-generated text, image, and other digitized media. This paper examines the implications for education of one generative AI technology, chatbots responding from large language models, or C-LLM. It reports on an application of a C-LLM to AI review and assessment of complex student work. In a concluding discussion, the paper explores the intrinsic limits of generative AI, bound as it is to language corpora and their textual representation through binary notation. Within these limits, we suggest the range of emerging and potential applications of Generative AI in education.

Citation

Olga, A., Saini, A., Zapata, G., Searsmith, D., Cope, B., Kalantzis, M., Castro, V., Kourkoulou, T., Jones, J., Abrantes da Silva, R., Whiting, J., & Polyxeni Kastania, N. Generative AI: Implications and Applications for Education

• Working Paper Type: Working Paper
• Deposit Date: Sep 3, 2023
• Publicly Available Date: Sep 5, 2023
• Public URL: https://nottingham-repository.worktribe.com/output/24870620
• Publisher URL: https://arxiv.org/abs/2305.07605