Towards the development of complex thinking in university students: Mixed methods with ideathon and artificial intelligence

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dc.contributor.affiliationhttps://ror.org/03ayjn504es_MX
dc.contributor.affiliationhttps://ror.org/059sp8j34es_MX
dc.contributor.affiliationhttps://ror.org/05fj8cf83es_MX
dc.contributor.authorCastillo Martínez, Isolda Margarita
dc.contributor.authorArgüelles Cruz, Amadeo José
dc.contributor.authorPiñal Ramírez, Octavio Elías
dc.contributor.authorGlasserman Morales, Leonardo David
dc.contributor.authorRamírez Montoya, María Soledad
dc.contributor.authorCarreon Hermosillo, Alejandra
dc.date.accessioned2023-12-07T01:15:44Z
dc.date.available2023-12-07T01:15:44Z
dc.date.issued2023-12-03
dc.description.abstractThis 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.es_MX
dc.format.mediumTextoes_MX
dc.identificator4||58||5801es_MX
dc.identifier.citationCastillo-Martínez, I.M., Argüelles, A. J., Piñal, O. E., Glasserman-Morales, L.D., Ramírez-Montoya, M.S. & Carreon-Hermosillo, A. (2023). Towards the development of complex thinking in university students: Mixed methods with ideathon and artificial intelligence. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2023.100186es_MX
dc.identifier.doihttps://doi.org/10.1016/j.caeai.2023.100186
dc.identifier.journalComputers and Education: Artificial Intelligencees_MX
dc.identifier.orcidhttps://orcid.org/0000-0003-3968-5775es_MX
dc.identifier.orcidhttps://orcid.org/0000-0001-8627-4739es_MX
dc.identifier.orcidhttps://orcid.org/0000-0002-6835-6084es_MX
dc.identifier.orcidhttps://orcid.org/0000-0001-7960-9537es_MX
dc.identifier.orcidhttps://orcid.org/0000-0002-1274-706Xes_MX
dc.identifier.urihttps://hdl.handle.net/11285/651611
dc.identifier.volume5es_MX
dc.language.isoenges_MX
dc.publisherElsevieres_MX
dc.relation.isFormatOfpublishedVersiones_MX
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S2666920X23000656?via%3Dihubes_MX
dc.rightsopenAccesses_MX
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.subjectHUMANIDADES Y CIENCIAS DE LA CONDUCTA::PEDAGOGÍA::TEORÍA Y MÉTODOS EDUCATIVOSes_MX
dc.subject.countryEstados Unidos de América / United Stateses_MX
dc.subject.keywordhuman-computer interfacees_MX
dc.subject.keywordcultural and social implicationses_MX
dc.subject.keywordteaching/learning strategieses_MX
dc.subject.keyworddistributed learning environmentses_MX
dc.subject.keyworddata science applications in educationes_MX
dc.subject.keywordR4C§TE
dc.subject.lcshEducationes_MX
dc.titleTowards the development of complex thinking in university students: Mixed methods with ideathon and artificial intelligencees_MX
dc.typeArtículo

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