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GPT MODELS IN HIGHER EDUCATION: CHALLENGES AND OPPORTUNITIES
Abstract
This article explores the challenges and opportunities presented by the integration of GPT (Generative Pre-trained Transformer) models in higher education. It examines the implications for teaching methodologies, student engagement, and the potential risks associated with the reliance on AI tools in academic settings. It highlights the benefits of AI in providing personalized, efficient and flexible learning environments, enhancing student engagement, and supporting individualized learning. However, it also addresses significant concerns regarding the potential oversimplification of academic tasks, the decline in students- critical thinking skills, and the challenges educators face in effectively incorporating AI tools without causing distractions. The article emphasizes the need for a balanced approach in integrating AI into academic education, ensuring that technology enhances rather than undermines the learning experience, and aligns with contemporary educational demands. Future research directions are suggested to better understand the direct impacts of AI tools like ChatGPT on student learning and academic integrity.
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References8
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Number of times cited according to Crossref: 1
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