Preprint Essay Version 1 This version is not peer-reviewed

A More-than-Human Ecology; Evolving Generative Artificial Intelligence in Higher Education

Version 1 : Received: 26 August 2024 / Approved: 28 August 2024 / Online: 28 August 2024 (09:04:33 CEST)

How to cite: Fern, J. A More-than-Human Ecology; Evolving Generative Artificial Intelligence in Higher Education. Preprints 2024, 2024082004. https://doi.org/10.20944/preprints202408.2004.v1 Fern, J. A More-than-Human Ecology; Evolving Generative Artificial Intelligence in Higher Education. Preprints 2024, 2024082004. https://doi.org/10.20944/preprints202408.2004.v1

Abstract

The significant improvements in Generative Artificial Intelligence (GenAI) observed in recent years present Higher Education with both an opportunity and a significant challenge. Its successful integration will require careful planning and sound pedagogical underpinnings, both in regard to learning and teaching, as well as assessment and feedback. Drawing upon theories from the more-than-human world, as well as concepts such as originality, equality, and sustainability, it is possible to develop a dialogue around GenAI that places the students’ learning journey at the heart of the discussion.

Keywords

generative artificial intelligence; higher education; assessment and feedback

Subject

Social Sciences, Education

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