Generative AI and Learning Analytics

IF 2.9 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Learning Analytics Pub Date : 2023-12-21 DOI:10.18608/jla.2023.8333
Hassan Khosravi, Olga Viberg, Vitomir Kovanović, Rebecca Ferguson
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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.
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生成式人工智能和学习分析
这篇社论回顾了 2023 年的《学习分析期刊》(JLA),并展望了 2024 年。考虑到最近 GPT4 和 Bard 等大型语言模型的激增,本社论的第一部分指出了对强大的生成式人工智能(GenAI)分析的需求,呼吁考虑 GenAI 如何影响学习分析研究和实践。第二部分回顾了过去一年的情况,提供了投稿统计数据,并考虑了在开放获取期刊上发表论文的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Learning Analytics
Journal of Learning Analytics Social Sciences-Education
CiteScore
7.40
自引率
5.10%
发文量
25
期刊最新文献
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