Exploring university students’ perspectives’ on ChatGPT integration in education
This study explores university students’ perceptions of ChatGPT, focusing on its educational benefits, drawbacks, and possible solutions. Data were collected through an online questionnaire completed by 350 students. A descriptive research design and Multinomial Logistic Regression (MLR) were used t...
| Autores: | , , , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/456464 |
| Acceso en línea: | https://hdl.handle.net/2117/456464 https://dx.doi.org/10.3926/jotse.3007 |
| Access Level: | acceso abierto |
| Palabra clave: | Artificial intelligence -- Educational applications Artificial intelligence ChatGPT Education Perceptions of AI Intel·ligència artificial -- Aplicacions a l'educació Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació |
| Sumario: | This study explores university students’ perceptions of ChatGPT, focusing on its educational benefits, drawbacks, and possible solutions. Data were collected through an online questionnaire completed by 350 students. A descriptive research design and Multinomial Logistic Regression (MLR) were used to analyze responses. Findings show that 53.14% believe ChatGPT positively impacts academic performance, 47.14% find it useful for writing assignments, and 50% use it for exam preparation. However, students’ express concerns about its accuracy (61.72%), reliability (52.29%), privacy risks (52.57%), potential bias (47.33%), and misuse (43.71%). Broader concerns include security vulnerabilities (55.14%) and fears about AI replacing human labour (56.29%). Recommendations include integrating AI education into curricula to help students understand both capabilities and limitations of models like ChatGPT and emphasizing ethical considerations. Educator training should focus on evaluating information reliability, recognizing bias, and critically assessing AI-generated content. Educators should also prioritize human sources when appropriate. For policymakers, enforcing regulations that uphold accuracy, reliability, privacy, and ethical standards in AI is crucial. Developers are encouraged to improve model transparency and explainability to foster trust and accountability |
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