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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- 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.
- Complex thinking and learning styles. An approach from a mexican student population(Scholar, 2024-05-31) Vázquez Parra, José Carlos; Carlos Arroyo, Martina; Cruz Sandoval, Marco Antonio; Sánchez Arrieta, Natalia De Fátima; https://ror.org/03ayjn504This article aims to present the results of a study to demonstrate the relationship between the development of complex thinking competencies and the types of learning in a sample population of Mexican students. Methodologically, quantitative descriptive analyses were performed on the means of the results, using two validated instruments to measure the perception of achievement of complex thinking and learning styles. As a result, we identified that it is possible to demonstrate a relationship in the profile proposed by Kolb for the groups of students in three of the four types of learning, showing a correlation with their results of complex thinking and its sub-competencies. Thus, the novelty of this article is based on the possibility of linking training in competencies with other psychoemotional elements and factors usually implicit in university training processes.
- Self-Esteem and its relationship with perceived achievement of complex thinking competence. An approach from a population of mexican students.(Scholar, 2024-05-29) Vázquez Parra, José Carlos; Carlos Arroyo, Martina; Cruz Sandoval, Marco Antonio; Alfaro Ponce, Berenice; https://ror.org/03ayjn504This article focuses on investigating and substantiating the potential relationship between students’ perceptions of their complex thinking abilities and their self-esteem at a technological university in Western Mexico. Employing a multivariate descriptive statistical analysis, the study not only aims to demonstrate the linkage between these two perceptions but also explores the potential influence of the gender variable on this relationship. The findings indicate a statistically significant correlation between the perception of competency in complex thinking, particularly in the sub-competence of critical thinking, and the students’ self-esteem. Despite the small sample size, which could be considered a constraint of the study, the results are presented as significant for decision-making in the educational sphere, professional training, and emotional well-being of youth, highlighting their importance and applicability.
- Development of social entrepreneurship competencies and complex thinking in an intensive course of open educational innovation(Hipatia Press, 2024-02-22) Vázquez Parra, José Carlos; Alcántar Nieblas, Carolina; Glasserman Morales, Leonardo David; Nuñez Rodriguez, Xiomara; https://ror.org/03ayjn504; https://ror.org/051xcrt66This article aims to show the results of implementing a training methodology in a group of participants within an intensive course on educational innovation. The motivation for this course was to promote innovative ideas that could be scaled into possible open educational entrepreneurship projects. Based on descriptive statistical analysis, that included a multivariate statistical analysis, an analysis of means and nonparametric tests of the data comparison of medians and ranges and Spearman's correlation, this article considered the SEL4C methodology, which was intended to support the ideation process and develop the participants' perceived achievement of social entrepreneurship and complex thinking competencies. The proposed methodology was validated to develop social innovation ideas even in a limited time and improved the participants' perception of achieving both competencies. This article contributes to the validation studies of this methodology and the academic approaches that seek efficient tools for acquiring and developing transdisciplinary competencies.
- Perception of the level of competency of candidates for graduation: a multidisciplinary approach to complex thinking(MDPI, 2023-10) Vázquez-Parra, José Carlos; Cruz-Sandoval, Marco; Suarez-Brito, Paloma; Institute for the Future of EducationComplex thinking is a cognitive skill that focuses on the integrated analysis and synthesis of information with a systemic and critical perspective that enables creative decision-making in the face of complex realities or challenges. At the educational level, it is valued as a transdisciplinary competency, meaning it is relevant for individuals regardless of their profession or field of study. This article presents the results of measuring the perceived achievement of complex thinking among 830 graduating students from a technological university in Mexico, aiming to identify possible significant differences based on their discipline or major. Methodologically, a multivariate descriptive statistical analysis was performed using R and RStudio software, including calculation of means and standard deviations, violin plots, boxplot and ANOVA significance analysis, and t-test. The results show that the differences were not statistically significant in all the disciplines, although it is possible to note significant differences, which reveals a differentiated behavior in the process of formation and development of complex thinking according to the discipline of study. In conclusion, the present study shows that the students’ areas of training are associated with differences in perception of complex thinking and its associated sub-competencies, thus differentiating this ability in their graduation profile. This article contributes to the existing literature on the formation and development of complex thinking and its sub-competencies as relevant professional skills for lifelong learning.
- Data analysis in factors of social entrepreneurship to design planning tools in complex thinkin(Science Direct, 2023-08-22) Ibarra Vázquez, Gerardo; Ramírez Montoya, María Soledad; Miranda Mendoza, Jhonattan; https://ror.org/03ayjn504This work presents the results of an exploratory pilot that analyzes the factors that influence self-reported social entrepreneurship competency and previous family backgrounds that might positively influence the development of the set of sub-competencies of complex thinking. It has been observed that individuals who put into practice the competencies that make up complex thinking perform better in overcoming the challenges of generating social value in contemporary society. Data were collected from a convenience sample of 47 students attending a private Higher Education Institution in Mexico using the “Profile of the Social Entrepreneur Instrumentóó. The data analysis comprised 1) validation of the instruments reliability, 2) tendencies and the frequency distribution of the data, 3) grouping by entrepreneurial family background, 4) the principal component analysis and 5) a clustering analysis. Our results support that forming Complex Thinking competencies for social entrepreneurship is not directly influenced by previous family experiences. Still, they recognize that these experiences are relevant in helping students become familiar with entrepreneurship-related issues. This paper empirically supports the hypotheses that social entrepreneurship experiences affect the correlations between social innovations and resolving complex global public problems.
- Research foresight in bridging open science and open innovation:overview based on the complex thinking paradigm(Elsevier, 2023-08-06) Sanabria Zepeda, Jorge Carlos; Cruz Sandoval, Marco Antonio; Moreno Romo, Athziri; Bosch Gomez, Sofia; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504Open innovation benefits from access to cutting-edge discoveries to increase their transformation into tangible applications for the benefit of society. Improving research quality has been proposed as a primary objective of open science by the United Nations, to increase science reproducibility, impact, and trust, leading to robust decision-making and policies. However, opening access to data and processes is insufficient for researchers to achieve open innovation in the context of globalization, for example, by gathering insights from external and internal sources. Developing the appropriate mindset to manage complexity and generate synergy among researchers in academia, industry, and the government is essential to catalyze knowledge and transform it into relevant innovations for society. To gain insights into the roles and challenges of researchers aiming to bridge the gap between open science and open innovation, a decade-plus Mapping Literature Review was conducted based on the complex thinking paradigm. Complex thinking allows for novel connections of the information collected through open science and open innovation, considering different forms of engaging with alternative means of knowledge creation that may promote innovative and critical thinking. The findings revealed: a) broad positioning of the terms in the European Union; b) open access and open data as current driving themes; c) a constant trade-off between the terms “open data” and “information protection”; d) lack of studies on researchers’ complex thinking to help them manage openness; e) absence of the environmental helix in the initiatives; and (f) challenges in innovative communication and collaborative practices among public and private entities. Overall, we identified an opportunity to develop researchers’ complex thinking such that the openness of information becomes a shared responsibility among partners across multiple helices. This shared responsibility can have methodological implications that permeate how open science and open innovation are theorized and, in practice, facilitate the development of fundamental collaborative research procedures.
- Gender prediction through complex thinking competence using machine learning(Springer, 2023-06-13) Ibarra Vázquez, Gerardo; Ramírez Montoya, María Soledad; Terashima Marín, Hugo; https://ror.org/03ayjn504This article aims to study machine learning models to determine their performance in classifying students by gender based on their perception of complex thinking competency. Data were collected from a convenience sample of 605 students from a private university in Mexico with the eComplexity instrument. In this study, we consider the following data analyses: 1) predict students’ gender based on their perception of complex thinking competency and sub-competencies from a 25 items questionnaire, 2) analyze models’ performance during training and testing stages, and 3) study the models’ prediction bias through a confusion matrix analysis. Our results confirm the hypothesis that the four machine learning models (Random Forest, Support Vector Machines, Multi-layer Perception, and One-Dimensional Convolutional Neural Network) can find sufficient differences in the eComplexity data to classify correctly up to 96.94% and 82.14% of the students’ gender in the training and testing stage, respectively. The confusion matrix analysis revealed partiality in gender prediction among all machine learning models, even though we have applied an oversampling method to reduce the imbalance dataset. It showed that the most frequent error was to predict Male students as Female class. This paper provides empirical support for analyzing perception data through machine learning models in survey research. This work proposed a novel educational practice based on developing complex thinking competency and machine learning models to facilitate educational itineraries adapted to the training needs of each group to reduce social gaps existing due to gender.
- Active learning and education 4.0 for complex thinking training: analysis of two case studies in open education(Springer, 2023-01-25) Ramírez Montoya, María Soledad; Patiño Zúñiga, Irma Azeneth; Buenestado Fernández, Mariana; Instituto Tecnológico y de Estudios Superiores de MonterreyThis article focuses on empirically analyzing the final products designed by 147 academics from 11 countries who participated in an international open education movement workshop by answering the research questions “What are the technopedagogical components of the products designed by the participants to encourage the open educational movement? and what practice of the open educational movement is being executed?” The article starts with a conceptual basis that describes the concepts of Active learning, Education 4.0, Complex Thinking and Open Education. It presents (1) the case study methodology on which this research is based, (2) two case studies on open education, (3) a game‑based intervention proposal to support instructors in training university students in complex thinking skills based on Education 4.0 technologies and game‑based learning principles, (4) and a discussion of the findings and opportunities for further work in the area. The findings of this study reveal that (A) the use of emerging and 4.0 technologies in initiatives of the open education movement continue to increase; (B) most of the open education initiatives designed by academics participating in the workshops were focused on the production of OER; and (C) inclusive access to education and continuing professional development of teachers is a constant concern addressed in open education initiatives. The results of this research suggest that training and development interventions implying the creation or design of open education initiatives should focus on encouraging all kinds of open education practices (i.e. use, production, dissemination and mobilization)
- Complex thinking in interdisciplinarity:an exploratory study in latin american population(2023) Sanabria Zepeda, Jorge Carlos; Ramírez Montoya, María Soledad; García Peñalvo, Francisco José; Cruz Sandoval, Marco Antonio; https://ror.org/03ayjn504In the context of Latin America, there are few studies that analyze complex thinking linked to disciplinary analysis. In this sense, locating the characteristics promoted by the different disciplines presents an opportunity to scale higher order competencies such as those of complex thinking. This article aims to show the results of a study that seeks to show the perception of complex thinking competence in young university students in the Latin American context. A multivariate descriptive statistical analysis has been carried out. Among the main findings we identified that there is a higher degree of perception of male students in Latin America on complex thinking competence and that this pattern is found in most of the countries in the sample.