Acceptable and unacceptable use of Generative AI in higher education context: An Institutional Case Study

Zablon Pingo, Suman Laudari, Seb Dianati, Michael Sankey, Jon Mason

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

Abstract

The rapid integration of Artificial Intelligence (AI) in education, especially Generative AI (GenAI) from Large Language Models (LLMs), presents unprecedented challenges for Higher Educational Institutions (HEIs). This conceptual piece outlines Charles Darwin University's (CDUs) strategy for responsible GenAI use; an institution with a large external cohort of students. The approach includes an actionable GenAI policy distinguishing acceptable from unacceptable uses and an Honour Code whereby students must acknowledge their use of GenAI in their studies. Informed by UNESCO's (2023) principles, a conceptual framework presented helped inform and embrace GenAI use transparently and ethically while offering room for innovation. The framework emphasises adapting innovative pedagogy, fostering awareness of responsible GenAI engagement, and upholding professional and academic integrity. Scenario-based case studies serve as examples for other stakeholders navigating GenAI's role within their institution and preferring a ‘soft’ approach to GenAI use with their students.
Original languageEnglish
Title of host publicationProceedings of eLearn: World Conference on EdTech 2024
EditorsCurtis J. Bonk, Gary H. Marks
Place of PublicationSingapore
PublisherAssociation for the Advancement of Computing in Education (AACE)
Pages166-176
Number of pages11
ISBN (Electronic)978-1-939797-80-3
Publication statusPublished - 1 Oct 2024
EventE-Learn–World Conference on E-Learning - Singapore, M Hotel Singapore , Singapore, Singapore
Duration: 7 Oct 202410 Oct 2024
https://aace.org/conf/elearn/

Conference

ConferenceE-Learn–World Conference on E-Learning
Country/TerritorySingapore
CitySingapore
Period7/10/2410/10/24
Internet address

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