Generative AI: Implications and Applications for Education

TL;DR

This paper explores the implications of generative AI, especially chatbots like ChatGPT, for education, including applications in assessment and understanding its intrinsic limitations.

Contribution

It provides an analysis of how large language model chatbots can be applied in educational assessment and discusses their inherent limitations within the context of education.

Findings

C-LLMs can be used for AI review and assessment of student work

Generative AI has intrinsic limits due to language and binary representation

Potential applications of generative AI in education are broad and emerging

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.