Date
Publisher
arXiv
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.
Study at a glance
- Question: How can AI chatbots review and assess complex student work, and what are their educational implications and limits?
- Setting and data: Complex student work.
- Method: Application of an AI chatbot to review and assess complex student work.
Why it matters
The launch of ChatGPT precipitated panic among some educators while prompting qualified enthusiasm from others, raising questions about the educational implications, potential applications, and intrinsic limits of chatbots responding from large language models.
Key findings
- Large language model chatbots can be applied to review and assess complex student work.
- Generative AI has intrinsic limitations because it relies strictly on existing language databases and digital text representations.
- The arrival of ChatGPT sparked panic among some educators while drawing qualified enthusiasm from others.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
