mlsanityData to 7 Oct 2026

Generative AI: Implications and Applications for Education

arXiv 2305.07605 ↗First posted 12 May 2023cs.CY cs.AIcited by 8

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Abstract (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.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 5 of its 61 references that are in the map. First posted on arXiv 12 May 2023.

Builds on

5 of 61 references.

References · 5

  1. 2022The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialoguescited by 78
  2. 2023ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT modelscited by 41
  3. 2023Truth Machines: Synthesizing Veracity in AI Language Modelscited by 8
  4. 2022Structured Like a Language Model: Analysing AI as an Automated Subjectcited by 6
  5. 2023Academic Writing with GPT-3.5: Reflections on Practices, Efficacy and Transparencycited by 6

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Cited by year

Citing papers per year: 2023: 1; 2024: 5; 2025: 2.

8 papers.