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    Item type:Publication,
    Predictive Factors of Academic Integrity in Business Students: A Quantitative Analysis
    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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    Item type:Publication,
    Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT
    (MDPI, 2023)
    Michel-Villarreal, Rosario
    ;
    Vilalta-Perdomo, Eliseo
    ;
    ;
    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
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    Item type:Publication,
    Revista de Integridad Académica : an effort to foster academic integrity in Universidad Panamericana
    (2018)
    Alemán Juárez, Armando
    ;
    Becerra Mariscal, Arturo Eduardo
    ;
    As an effort to promote a culture of AI in Latin America, and specifically in Mexico, Universidad Panamericana developed an online publication called: Revista de Integridad Academica, with four universities in the region: Universidad EAFIT at Colombia, Tecnológico de Monterrey and Universidad de Monterrey at Mexico, and the Pontificia Universidad Católica de Chile. The publication seeks to disseminate and promote academic integrity values among universities in Latin America. Its long term-purpose is to emerge as an international reference on the topic. In this paper, we present an initial approach to a theoretical framework of AI in Latin America. Next, we relate this framework to the creation of Revista de Integridad Académica as a strategy to foster AI in Universidad Panamericana. Finally, we explain how the publication has grown to become periodical, as a result of inter-institutional collaboration and its digital impact. ©2019 IATED Academy
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