生成语法
感知
高等教育
心理学
社会学
政治学
计算机科学
人工智能
神经科学
法学
作者
Hosam Al‐Samarraie,Samer Muthana Sarsam,Ahmed Ibrahim Alzahrani,Arunangsu Chatterjee,Bronwen Swinnerton
出处
期刊:Journal of Applied Research in Higher Education
[Babeș-Bolyai University]
日期:2024-09-19
被引量:3
标识
DOI:10.1108/jarhe-02-2024-0109
摘要
Purpose This study explored the themes and sentiments of online learners regarding the use of Generative Artificial Intelligence (AI) or “generative AI” technology in higher education. Design/methodology/approach English-language tweets were subjected to topic modelling and sentiment analysis. Three prevalent themes were identified and discussed: curriculum development opportunities, lifelong learning prospects and challenges associated with generative AI use. Findings The results also indicated a range of topics and emotions towards generative AI in education, which were predominantly positive but also varied across male and female users. Originality/value The findings provide insights for educators, policymakers and researchers on the opportunities and challenges associated with the integration of generative AI in educational settings. This includes the importance of identifying AI-supported learning and teaching practices that align with gender-specific preferences to offer a more inclusive and tailored approach to learning.
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