Generative AI: Implications and Applications for Education

Anastasia Olga, Tzirides, Akash Saini, Gabriela Zapata, Duane Searsmith +8 more
5/12/2023
cs.CYcs.AI

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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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Cite this paper

@article{olga2023generative,
  title  = {Generative AI: Implications and Applications for Education},
  author = {Anastasia Olga and Tzirides and Akash Saini and Gabriela Zapata and Duane Searsmith and Bill Cope and Mary Kalantzis and Vania Castro and Theodora Kourkoulou and John Jones and Rodrigo Abrantes da Silva and Jen Whiting and Nikoleta Polyxeni Kastania},
  year   = {2023},
  eprint = {2305.07605},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.07605v3}
}

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