Artículo

Permanent URI for this collectionhttps://hdl.handle.net/11285/345284

Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.

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Author: search.filters.author.Argüelles Cruz, Amadeo José

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    Prospective narratives on global issues: An AI-based pedagogical model for assessing complex thinking
    (OmniaScience, 2024) Sanabria Zepeda, Jorge Carlos; Olivo Montaño, Pamela Geraldine; Artemova, Inna; Argüelles Cruz, Amadeo José; Tecnologico de Monterrey; https://ror.org/03ayjn504; https://ror.org/043xj7k26; https://ror.org/059sp8j34
    This study proposes a pedagogical model for the creation and development of case studies, following a narrative scheme, that will allow the challenges and issues surrounding the megatrends of the 4th Industrial Revolution, specifically with the megatrend "People and the Internet". This proposal will be framed in an online learning environment, it has been designed as the second stage of the educational platform that will guide university students in the process of an ideathon to address the megatrends of the 4th Industrial Revolution. The aim of designing a model for creating case studies related to the megatrends is to foster complex thinking in university students, especially innovative thinking as one of the sub-competences of complex thinking. Fostering complex thinking highlights the importance of cognitive, practical and adaptive skills to address interdisciplinary challenges. The Design Process and Practice methodology and the case study methodology itself were used to develop the narrative case study design model. The outcome of this study adds a tangible dimension that enriches the debates on education and complex systems thinking in the context of the Fourth Industrial Revolution.
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    Towards the development of complex thinking in university students: Mixed methods with ideathon and artificial intelligence
    (Elsevier, 2023-12-03) Castillo Martínez, Isolda Margarita; Argüelles Cruz, Amadeo José; Piñal Ramírez, Octavio Elías; Glasserman Morales, Leonardo David; Ramírez Montoya, María Soledad; Carreon Hermosillo, Alejandra; https://ror.org/03ayjn504; https://ror.org/059sp8j34; https://ror.org/05fj8cf83
    This article examines the capacity of an artificial intelligence (AI) platform to assess university students' mastery of complex thinking. Central questions addressed include the identification of essential technical elements that contribute to the platform's effectiveness, and how the AI platform can boost student motivation and cultivate complex thinking. The research employed a mixed-methods approach, anchored by an Ideathon centered on the Sharing Economy. Qualitative insights were drawn from semi-structured interviews with nine university students. The results indicate that the platform effectively evaluates complex thinking proficiency, differentiating between systemic, scientific, and innovative thinking. Notably, the AI-driven personalization of the platform was found to significantly enhance student motivation. This study highlights the capabilities of AI platforms in competency assessment and suggests that future research should investigate how such data can inform strategies to develop complex reasoning among diverse university student populations.
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