Teaching and assessment of the future today: higher education and AI
Melissa M. Lacey A * and David P. Smith AA Sheffield Hallam University, Howard Street, Sheffield, S1 1WB, UK.
Mel Lacey is a microbiologist with over a decade’s teaching experience at Sheffield Hallam University. She is an active researcher in both the Accessibility of Science and Molecular Microbiology groups. Mel’s research spans bacterial biofilms, novel antibacterial agents and their applications, the microbiome and environmental microbiology through to pedagogy around inclusive practices and public engagement. |
David Smith is a National Teaching Fellow and Professor of Bioscience Education, teaching Molecular Bioscience and Biochemistry. He is a Senior Fellow of the Higher Education Academy. David has been research-active in the field of biosciences for over 20 years focusing on the molecular basis of neurodegeneration in diseases such as Alzheimer’s and Parkinson’s and pedagogy in Higher Education. |
Microbiology Australia 44(3) 124-126 https://doi.org/10.1071/MA23036
Submitted: 7 June 2023 Accepted: 30 June 2023 Published: 14 July 2023
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of the ASM. This is an open access article distributed under the Creative Commons Attribution 4.0 International License (CC BY).
Abstract
Artificial intelligence (AI), once a subject of science fiction, is now a tangible, disruptive force in teaching and learning. In an educational setting, generative large language models (LLM), such as OpenAI’s ChatGPT, perform and supplement tasks that usually require human thought, such as data analysis, understanding complex ideas, problem-solving, coding and producing written outputs. AI advances are moving quickly. From the emergence of ChatGPT 3.5 in November 2022, we have witnessed the arrival of other progressive language models, like OpenAI’s GPT-4, Google’s Bard AI and Microsoft’s Bing AI. Most recently, AIs gained the ability to access real-time information, analyse images and are becoming directly embedded in many applications.
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