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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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- Driving complex thinking and technological entrepreneurship with artificial intelligence: a mixed methods study.(Elsevier, 2025-09) Álvarez Icaza Longoria, Inés; Martínez Arboleda, Antonio; Miranda Mendoza, Jhonattan; Suárez Brito, Paloma; Ramírez Montoya, María Soledad; Tecnológico de Monterrey; Xiaoyang ZhouAI technologies offer unique capabilities that enhance collaboration and creativity among students by providing novel insights, generating diverse perspectives, and triggering the development of innovative thinking as a sub-competency of the mega-competency of complex thinking. Regarding entrepreneurial skills development, applying AI-powered tools, such as natural language processing on digital educational platforms, allows student to engage in dynamic ideation processes for entrepreneurial projects with social, technological, and scientific approaches. This article explores the application of artificial intelligence (AI) as a valuable resource for fostering creative idea generation within co-creation strategies for university students. In a mixed-method analysis, we obtained valuable information regarding engagement through co-creation approaches. This paper describes the early implementation stages of the introductory course in technological entrepreneurship, applying the educational platform OpenEdR4C in a hybrid workshop with a group of 20 students in a public higher education institution in central Mexico, this being the first group of >900 people reached during 2024. The findings show that (a) the students are prone to use and explore AI tools in a natural and immediate manner, (b) interdisciplinary collaboration was effectively promoted through co-creation strategies, and (c) training the tool is crucial to keep engagement and ideas fluency. This is a contribution to the exploration to open new opportunities for interdisciplinary collaboration, experiential learning, and knowledge co-production, ultimately empowering students to develop innovative solutions to complex societal challenges.
- Adaptive learning for complex thinking: A systematic review of users' profiling strategies(JSSER, 2024-06-17) Álvarez Icaza Longoria, Inés; Molina Espinosa, José Martín; Suarez Brito, Paloma; https://ror.org/03ayjn504Adaptive learning strategies applied to e-learning have become a relevant approach towards diversity and inclusion. They bring several benefits to learners in the role of digital platform users, related to the user experience, but primarily in the learning process optimization. It aims to provide mediation, tailored content, and adequate channels for users' capabilities and learning styles. The OpenEdR4C is a digital open educational platform designed to expand complex reasoning skills in students and lifelong learners of higher education. The platform addresses five types of learning obstacles: sensory limitations, learning styles, sociodemographic and socioeconomic contexts, and certain kinds of neurodiversity. All these considerations require a dynamic and assertive user profiling strategy to provide compelling adaptive learning experiences. This paper presents a Systematic Literature Review of user profiling strategies published in the last five years in SCOPUS and Web of Science databases. The findings allowed for the identification of successful and applicable strategies that the OpenEdR4C research and development teams used to select and shape the suitable strategy for the platform in three levels: a) procedures that allow the user to self-declare their profile and preferences; b) profiling based on the system's detection of patterns and behaviors shown by the users; and c) evaluation techniques to validate the effectiveness of the profiling instruments. The results and discussion presented are valuable insights for educators, developers in the context of open educational resources design, and decision-makers of HiEd institutions or training centers. There is a suitable strategy for every type of profiling necessity; here is a combination of many to be used and developed collectively.
- A challenge-based learning experience in industrial engineering in the framework of education 4.0(2021-09-02) Gutiérrez Martínez, Yadira; Bustamante Bello, Rogelio; Navarro Tuch, Sergio Alberto; López Aguilar, Ariel Alejandro; Molina Espinosa, Arturo; Álvarez Icaza Longoria, Inés; Tecnologico de Monterrey, School of Engineering and SciencesCurrent tendencies of product, project and services development focus on a higher consideration of the User Experience (UX). Therefore, traditional training and teaching methodologies need to adapt to prepare the students to develop strategies for problem solving for their professional education. Such needs have risen and interest in tendencies such as education and Industry 4.0 has grown. This paper presents and analyzes the process and results of a teaching implementation methodology based on Challenge-Based Learning (CBL). The paper describes the process followed, explaining the methodology precedents that led to the final implementation case. It also mentions previous experiments on product analysis and home automation developments that are linked to implementation of the technology. This case’s implementation, analysis and experimentation integrated the use of Emotional Domotics (ED) Tools for the UX analysis, to grant feedback and compare the students’ results with the bio-metrical and emotional computational analysis. The methodology, described through this document, allowed the students to better understand and experience some of the implications of an interconnected system with instant information feedback. This allowed them to better grasp part of the impact that the tendency towards the Internet of Things (IoT) is currently having, and the impact of the improvement proposals from the students.