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Author: search.filters.author.Carlos-Arroyo, Martina

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    Item type:Publication,
    Integrating Generative AI into Live Case Studies for Experiential Learning in Operations Management
    (MDPI AG, 2025)
    Salinas-Navarro, David Ernesto  
    ;
    Vilalta-Perdomo, Eliseo
    ;
    Palma-Mendoza, Jaime Alberto
    ;
    Carlos-Arroyo, Martina
    This research-to-practice study examines how Generative Artificial Intelligence (GenAI) can be integrated into live case studies to enhance experiential learning in higher education. It explores GenAI’s potential as an agent to learn with scaffolding reflection and engagement and addresses gaps in existing applications that often focus narrowly on content generation. To explore GenAI’s agentive potential, the methodology illustrates this approach in a UK postgraduate operations management module. Students engaged in a live case study of a local ethnic restaurant to refine its business model and operations. The data sources used to examine students’ results included module materials, outputs, and feedback surveys. Thematic analysis was employed to assess how GenAI facilitated experiential learning. The findings suggest that GenAI integration facilitated exploration, reflection, conceptualisation, and experimentation. Students reported that the activity was engaging and relevant, facilitating critical decision-making and understanding of operations management. However, the outcomes varied according to GenAI literacy and student participation. Although GenAI-enriched learning is beneficial, human agency and contextual knowledge remain crucial. Overall, this study integrates GenAI as a cognitive partner throughout Kolb’s ELC. This study offers a transferable framework for active learning, illustrating how technology can enhance critical and reflective learning in authentic educational contexts. However, limitations include uneven student participation and engagement, resource constraints, overreliance on artificial intelligence outputs, differentiated impact on learning outcomes, and a single-case report, which must be addressed before the framework can be scaled up. Future research should test this through multi-case studies while developing GenAI literacy, measuring GenAI impact, and implementing ethical practices in the field. ©Los autores ©MDPI.
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    Item type:Publication,
    Business Decision-Making and Complex Thinking: A Bibliometric Study
    (MDPI, 2023)
    Pacheco-Velázquez, Ernesto Armando
    ;
    Vázquez-Parra, José Carlos
    ;
    Cruz-Sandoval, Marco
    ;
    Salinas-Navarro, David Ernesto  
    ;
    Carlos-Arroyo, Martina
    Complex thinking is an important tool for effective decision-making, as it helps people to better understand uncertain situations by considering the multiple variables and relationships involved in a situation, thus being able to identify patterns and connections that would not otherwise be evident. This article presents the results of a bibliometric study to identify academic publications that consider the correlation between decision-making in the business area and complex thinking competency and its sub-competencies. The intention was to have a theoretical horizon that provides a complete overview of the current academic situation regarding the correlation of both professional skills to identify areas of opportunity for new studies. Methodologically, we conducted a literature review using Scopus and Web of Science databases under the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) protocol from which a sample of 339 articles related to both topics was obtained. R, Rstudio, and Bibliometrix were used for the quantitative analysis of the data. The results showed an academic tendency to associate decision-making in business with critical thinking, paying little attention to the other sub-competencies of complex thinking. Furthermore, we found a concentration of research in specific universities and countries, repeating a tendency to study only a few sub-competencies. Overall, this work sheds light on the broad opportunity to link the complex thinking macro-competency with decision-making in business, to provide more extraordinary skills and tools to future professionals. ©IEEE, The authors.
    Scopus© Citations 15  7
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    Item type:Publication,
    Major Trends in Health-Centered Nursing Professional Education and Complex Thinking
    (ACM Digital Library, 2024)
    Pacheco-Velázquez, Ernesto
    ;
    Salinas-Navarro, David Ernesto  
    ;
    Carlos-Arroyo, Martina
    The social distancing policies generated by the pandemic have forced a large majority of universities to modify or rethink the pedagogical models used in the classroom. The development of educational platforms, the use of simulators, virtual laboratories and the development of active methodologies focused on the student’s work have been the essential tools to create more efficient models in terms of teaching and generate greater student engagement. In the field of nursing and medicine, the pandemic has served to generate and consolidate good practices, as well as a change in the teaching paradigms that had traditionally been present in this branch of knowledge. This paper discusses the use of educational platforms, simulators, virtual reality and the technique of self-directed learning as part of the new trends used in the didactics of health careers from the perspective of complex thinking. ©The authors. ACM Digital Library.
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