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

Isolda Margarita Castillo-Martínez, Amadeo José Argüelles-Cruz, Octavio Elías Pinal-Ramírez, Leonardo David Glasserman-Morales, María Soledad Ramírez-Montoya, Alejandra Carreón-Hermosillo 2023 Convergence Chronicles

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Abstract

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

Identifier Metadata

Identifier	110.1182/CON.2026.01153
Canonical	mdoi:110.1182/CON.2026.01153
Resolver URL	https://mdoi.org/110.1182/CON.2026.01153
Resource URL	Open resource
Document URL	Open document
Content Type	Article
Authors	Isolda Margarita Castillo-Martínez, Amadeo José Argüelles-Cruz, Octavio Elías Pinal-Ramírez, Leonardo David Glasserman-Morales, María Soledad Ramírez-Montoya, Alejandra Carreón-Hermosillo
Year	2023
Depositor	Convergence Chronicles Organisation
Prefix	110.1182
Registered	Aug. 21, 2026
Updated	Aug. 21, 2026
Status	Active
Visibility	Public

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

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