Generative AI Application in Higher Education Student Work

Anastasia Olga (Olnancy) Tzirides, Akash Kumar Saini, Gabriela Zapata, Duane Searsmith, Bill Cope, Mary Kalantzis, Vania Castro, Dora Kourkoulou, John W. Jones, Rodrigo Abrantes da Silva, Jen Whiting, Nikoleta Polyxeni ‘Paulina’ Kastania

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The launch of ChatGPT in November 2022 precipitated panic among some educators while prompting qualified enthusiasm from others. ChatGPT is an example of Generative AI, a combination of technologies that will deliver computer-generated text, images, and other digitized media. This paper examines the implications for education of one generative AI technology, chatbots responding from large language models (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.

Original languageEnglish (US)
Title of host publicationTrust and Inclusion in AI-Mediated Education
Subtitle of host publicationWhere Human Learning Meets Learning Machines
EditorsDora Kourkoulou, Anastasia Olga Tzirides, Bill Cope, Mary Kalantzis
PublisherSpringer
Pages287-301
Number of pages15
ISBN (Electronic)9783031644870
ISBN (Print)9783031644863, 9783031644894
DOIs
StatePublished - Sep 28 2024

Publication series

NamePostdigital Science and Education
VolumePart F3835
ISSN (Print)2662-5326
ISSN (Electronic)2662-5334

Keywords

  • AI review
  • Assessment
  • C-LLM
  • ChatGPT in Education
  • Generative AI
  • Peer review

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Philosophy
  • Social Sciences (miscellaneous)
  • Education

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