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Start date: 2020Subject: search.filters.subject.Academic integrity

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    Predictive Factors of Academic Integrity in Business Students: A Quantitative Analysis
    (OpenEd Network, 2026-02-16)
    Rivas Aceves, Salvador  
    ;
    Ortega-Barba, Claudia-Fabiola  
    Academic integrity among university students is a high priority. This study aimed to evaluate the effectiveness of an intervention to address the inclination toward dishonest behaviour related to academic integrity in undergraduate students. The study focused on two specific objectives. First, it measured the intent to commit academically dishonest acts and, second, it raised awareness among the student community regarding acts that violate academic integrity as defined by the institution’s regulations. To achieve the above, a pre-experimental approach was chosen with a pretest-posttest design involving a single group based on a non-probability convenience sample with a student body of 1304 undergraduate business students, where an instrument was applied before the intervention to establish a baseline. Participants’ response to the interaction was measured with the same instrument at a later time. The findings report that, following the intervention, participants displayed a lower inclination to commit academically dishonest acts, suggesting an improvement in the perception of academic integrity. © The authors ©
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    Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT
    (MDPI, 2023)
    Michel-Villarreal, Rosario
    ;
    Vilalta-Perdomo, Eliseo
    ;
    Salinas-Navarro, David Ernesto  
    ;
    Thierry-Aguilera, Ricardo
    ;
    Gerardou, Flor
    ChatGPT is revolutionizing the field of higher education by leveraging deep learning models to generate human-like content. However, its integration into academic settings raises concerns regarding academic integrity, plagiarism detection, and the potential impact on critical thinking skills. This article presents a study that adopts a thing ethnography approach to understand ChatGPT’s perspective on the challenges and opportunities it represents for higher education. The research explores the potential benefits and limitations of ChatGPT, as well as mitigation strategies for addressing the identified challenges. Findings emphasize the urgent need for clear policies, guidelines, and frameworks to responsibly integrate ChatGPT in higher education. It also highlights the need for empirical research to understand user experiences and perceptions. The findings provide insights that can guide future research efforts in understanding the implications of ChatGPT and similar Artificial Intelligence (AI) systems in higher education. The study concludes by highlighting the importance of thing ethnography as an innovative approach for engaging with intelligent AI systems and calls for further research to explore best practices and strategies in utilizing Generative AI for educational purposes. ©The authors.
    Scopus© Citations 195  32