Generative AI and Learning Analytics

Khosravi, Hassan; Viberg, Olga; Kovanovic, Vitomir and Ferguson, Rebecca (2023). Generative AI and Learning Analytics. Journal of Learning Analytics, 10(3) pp. 1–6.

DOI: https://doi.org/10.18608/jla.2023.8333

Abstract

This editorial looks back at the Journal of Learning Analytics (JLA) in 2023 and forward to 2024. Considering the recent proliferation of large language models such as GPT4 and Bard, the first section of this editorial points to the need for robust Generative AI (GenAI) analytics, calling for consideration of how GenAI may impact learning analytics research and practice. The second section looks back over the past year, providing statistics on submissions and considering the cost of publication in an open-access journal.

Plain Language Summary

Journal editorial. The first part looks at how generative AI (artificial intelligence that can produce text, pictures, videos or programming code) may affect learning analytics. The second part looks at the costs of publishig a paper in an open access paper where there is no financial charge for publishing or accessing the paper.

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