EJEL Editorial 2024-Special Issue on AI in Education: Opportunities and Challenges (Parts 1 & 2)

Paul Griffiths () and Marija Cubric
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Paul Griffiths: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Marija Cubric: UH - University of Hertfordshire [Hatfield]

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Abstract: The advent of Chat GPT and the other GenAIs that followed provides a very clear impression of the impact that machine learning will have on society. The impact of machine learning had been discussed for more than a decade, but those discussions had a high degree of abstraction and temporal speculation. The irruption of GenAI gives the discussion tangibility and a sense of urgency. It is now essential to define how society is going to govern this technology but before we do that we need to understand the impact that the technology is going to have on the different dimensions of society. In this special issue we attempt to do precisely that in the area of education.The aim of this Special Issue is to bring together the latest research and developments in AI in education, to better understand how AI can enhance teaching and learning, and to identify the challenges and opportunities in this field. While the first reaction to ChatGPT in academic circles was one of seeing it as CheatGPT, the papers herein demonstrates that we have swiftly moved well beyond that initial state. The papers in this 2-part special issue are depicted in Table 1.

Date: 2024-10-21
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Published in Electronic Journal of eLearning, 2024, 22 (6), pp.82 - 87. ⟨10.34190/ejel.22.6.3831⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04993482

DOI: 10.34190/ejel.22.6.3831

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