Generative AI: Implications and Applications for Education
- URL: http://arxiv.org/abs/2305.07605v3
- Date: Mon, 22 May 2023 11:42:19 GMT
- Title: Generative AI: Implications and Applications for Education
- Authors: Anastasia Olga (Olnancy) Tzirides, Akash Saini, Gabriela Zapata, Duane
Searsmith, Bill Cope, Mary Kalantzis, Vania Castro, Theodora Kourkoulou, John
Jones, Rodrigo Abrantes da Silva, Jen Whiting, Nikoleta Polyxeni Kastania
- Abstract summary: 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.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
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