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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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- Scientific thinking engineering and health sciences.Competency analysis in a mexican university(JSSER, 2024-06-25) Suárez Brito, Paloma; Vázquez Parra, José Carlos; Alonso Galicia, Patricia Esther; Cruz Sandoval, Marco Antonio; Malagón Castro, Luz Elena; https://ror.org/03ayjn504This article presents the findings of a comprehensive skills-and-competencies analysis conducted among incoming Engineering and Health Sciences freshmen at a leading technological university in Mexico. The primary objective was to determine whether these students possessed an ideal competency profile that would effectively prepare them to meet the evolving demands of their future professional training. The study focuses on evaluating complex thinking macro-competency, recognizing its critical importance in equipping individuals to tackle the multifaceted challenges and intricacies they will encounter in their academic and professional journeys. More precisely, this research focuses on the assessment of scientific thinking as a meta-competency of complex thinking macro-competency and considered a cornerstone competency essential for success in the fields of Engineering and Health Sciences. The statistically significant findings demonstrated marked disparities in the perception and development of complex thinking macro-competency and, specifically, in the meta-competency of scientific thinking among incoming students in the Engineering and Health Sciences domains, as opposed to their counterparts in Humanities and Social Science. This observation gains particular importance in the context of the requisite competency sets for career paths in Engineering and Health Sciences, accentuating the students' proficiency and preparedness to excel in their selected fields. These results emphasize the criticality of conducting competency assessments at early stages and advocate for the modification of educational methodologies to foster the specialized competencies vital for prospective success in these disciplines. The results are analyzed in terms of their suitability for aligning educational goals with the evolving demands of the Engineering and Health Sciences fields. Overall, this study centers on the fundamental aspects of education, highlighting its importance not only due to its relevance but also for its capacity to drive meaningful changes in the future landscape of higher education.
- 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 platform for learning entrepreneurship and complex thinking: Questionnaire validation for evaluation(JSSER, 2024-05-29) López Caudana, Edgar Omar; George Reyes, Carlos Enrique; Martínez Pérez, Sandra; https://ror.org/03ayjn504Digital learning platforms as scaffolds for learning in formal and informal educational scenarios have had few assessments to determine their acceptance and success in fostering high order thinking skills. The primary objective of this study was to develop, validate, and assess the reliability of an instrument designed to measure the acceptance of a platform dedicated to nurturing complex thinking skills in social, scientific, and technological entrepreneurship. The methodology developed to systematize this process involved four stages: 1) instrument development based on the UTAUT2 model, 2) computation of the Kappa coefficient to select experts for instrument validation, 3) application of the Simplified Digital Delphi Method for validation, and 4) analysis of instrument reliability using Cronbach's alpha and McDonald's Omega coefficients. The results were 1) a questionnaire consisting of 9 dimensions and 22 items, all validated by experts and exhibiting an acceptable level of quality, exceeding the 0.8 coefficient threshold indicative of good item quality; and 2) the development of a methodology named EAAP that systematizes and objectifies the task of creating and refining an instrument and readying it for implementation. This work emphasizes the need to assess the acceptance of digital learning platforms to identify areas for improvement and promote the development of instruments using reliable methodologies.