Use of Generative AI by Higher Education Students
Abstract
This research aims to explore the use, perceptions, and challenges associated with generative AI (GenAI) among higher education students. As GenAI technologies, such as language models, image generators, and code assistants, become increasingly prevalent in academic settings, it is essential to understand how students engage with these tools and their impact on their learning process. The study investigates students’ awareness, adoption patterns, and perceptions of generative AI’s role in academic tasks, alongside the benefits they identify and the challenges they face, including ethical concerns, reliability, and accessibility. Through quantitative methods, the research provides a comprehensive analysis of student experiences with generative AI in higher education. The findings aim to inform educators, technologists, and institutions about the opportunities and barriers of integrating these technologies into educational practices and guide the development of strategies that support effective and responsible AI use in academia.
Source: Semantic Scholar - Electronics (31 citations) PDF: N/A Original Link: https://www.semanticscholar.org/paper/cd5d5f5f8f1a53d6e741fa345cf142ae195c3651