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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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- Financial inclusion of vulnerable sectors with a gender perspective: risk analysis model with artificial intelligence based on complex thinking.(Springer, 2025-01-14) Medina-Vidal, Adriana; Alonso Galicia, Patricia Esther; González Mendoza, Miguel; Ramírez Montoya, María SoledadThe objective is to present a proposal for a gender-sensitive risk analysis model using artificial intelligence (AI) within the framework of complex thinking that provides access to opportunities, specifically for vulnerable populations such as women from underprivileged sections. This international non-parametric study highlights the vulnerability of this population in Mexico through a sample of 2787 women. The methodological design included data analysis, the postulation of a proposed model, and a validation method for the credit risk analysis model. There is a correlation between the level of schooling of impoverished and vulnerable women with the possibility of self-employment and selling a product or service. In the framework of complex thinking, the perception of innovative thinking is related to the level of education and innovative decision-making in professional projects. Women with a higher level of schooling tend to think about their professional projects systematically. Promoting complex thinking involves innovative educational practices to encourage critical, systemic, scientific, and innovative thinking in entrepreneurship and sustainable development. Integrating reasoning for complexity benefits women and contributes to economic and social growth in vulnerable regions. In contrast to other models, our credit risk analysis model uses AI and variables for gender, vulnerability, and complex thinking to detect patterns in women’s behaviors and attitudes in the venture start-up process. Our proposal is the starting point of many analyses to develop further about artificial intelligence based on complex thinking.
- Comparison of perceived achievement of complex thinking competency among american, european, and asian university students(2025) Vázquez Parra, José Carlos; Lis Gutiérrez, Jenny Paola; Henao Rodriguez, Linda Carolina; George Reyes, Carlos Enrique; Tramon Pregnan, Claudia Lorena; Río Urenda, Susana Del; B. Chio, Ma Esther; Tariq, RasikhDespite the growing focus of educational institutions on students’ practical abilities beyond theoretical knowledge, the perception that students have of their competencies is crucial for their effective application in professional contexts. Accordingly, this paper reports a study of 435 university students attending ten universities in eight countries in the Americas (Chile, Colombia, Mexico), Asia (Pakistan and the Philippines), and Europe (Spain, Finland, and Serbia). The goal was to measure their perceptions of their achievement of complex thinking competency and its sub-competencies. The intention was to identify how cultural, educational, and socioeconomic differences among countries account for the variances in the students’ self-assessment of competencies, impacting their professional preparedness. The study focused on the competency of complex thinking, considering its critical importance in solving current environmental problems. The analysis employed the non-parametric Brown–Forsythe statistical test and Bonferroni correction, given the non-normality and heteroscedasticity of the data. It was found that (i) there is no statistically significant difference by gender; (ii) there are statistically significant differences in all types of thinking per country, geographical area (continent), and Human Development Index (HDI).
- Robots Teaching Teachers: Acceptanceof Technology in Higher Education(2025-01-01) López Caudana, Edgar Omar; Suarez Brito, Paloma; Baena Rojas, Jose Jaime; admmsernaThis study aimed to investigate teacher perceptions of using advanced technological tools, specifically the NAO robot, in co-teaching settings to enhance class development and promote complex thinking in higher education. Complex thinking is a crucial skill in higher education, enabling students to effectively address and solve multifaceted problems.
- Remaigining the future through the co-creation of social entrepreneurship in higher education: a multivariate prediction model approach(Emerald, 2024-12-10) Ramírez Montoya, María Soledad; Casillas Muñoz, Fidel; Tariq, Rashik; Icaza Longoria, Inés Álvarez; Portugués Castro, May; EGADE Bussines SchoolPurpose – This remastered analysis focuses on the impact of entrepreneurial interventions in higher education institutions (HEI), particularly in social entrepreneurship. The study evaluated the effectiveness of such interventions through a pre-and post-test approach, examining various skill sets in students. The primary goal was to analyze the influence of entrepreneurial training programs on students’ competencies in social entrepreneurship by analyzing changes in personal behavior, leadership, innovation, social value and management skills before and after the educational interventions. Design/methodology/approach – The study employed a quasi-experimental design, analyzing pre-and post-test results in three distinct social entrepreneurship training experiences. The sample consisted of 304 participants, providing a comprehensive view of the impact of these interventions. Findings – The main findings were: (1) Educational interventions in social entrepreneurship must emphasize strategies for self-awareness, emotional intelligence and personal development improvement. The analysis revealed significant improvements in these areas, indicating that targeted strategies in these domains are essential for enhancing the effectiveness of social entrepreneurship education. (2) The impact of educational interventions on these capabilities can be effectively evaluated using machine learning methods such as ordinary least squares (OLS) regression. This approach allows for the inclusion of variables such as gender, age or location, providing a comprehensive assessment of the interventions’ impact. (3) The interventions were particularly effective in improving students’ innovation and leadership competencies. The analysis demonstrated substantial enhancements in these areas, underscoring the success of the interventions in developing these critical skills. (4) The study highlighted the need for a more focused approach in future interventions, emphasizing the importance of management, social value and personal skills. Additionally, it pointed out the necessity of developing and utilizing appropriate tools to create and evaluate these interventions effectively. Practical implications – The study provides insights into improving educational interventions in social entrepreneurship to better develop essential skills in students. Originality/value – This research introduces a significant approach to educational interventions for educational communities and decision-makers by demonstrating the effectiveness of entrepreneurial training for competencies in innovation and leadership, which are crucial for societal and economic development.
- MAICC model: development of complex thinking through citizen science project evaluation(Frontiers, 2024-08-30) Olivo Montaño, Pamela Geraldine; Sanabria Zepeda, Jorge Carlos; Molina Espinosa, José Martín; Quintero Gámez, Lorena; Velarde Camaqui, Davis; Sánchez Salgado, Lisset Abril; Gonzalez Mendoza, Miguel; Breda, Adriana; Morales Maure, Luisa; Álvarez Icaza Longoria, Inés; Tecnologico de Monterrey; https://ror.org/03ayjn504; https://ror.org/021018s57; https://ror.org/0070j0q91; Montoya, Miguel AAs traditional education systems struggle to keep up with technological advances, incorporating open science into Education 5.0 is critical to addressing student skills gaps. In this study, the MAICC model is introduced, a tool designed to foster complex thinking in higher education students through the evaluation of citizen science projects. It integrates research-based learning and service learning, and helps develop critical and reflective skills by applying them to real-life settings. To assess student engagement and skills development, a mixed methods approach combining qualitative and quantitative analysis was used. Findings indicate that the MAICC model promotes complex thinking, enhances critical thinking through citizen science project evaluation, and features an emphasis on citizen science and educational technology. Discussion highlights citizen science’s important role in education and suggests future research exploring its wider application across disciplines and contexts to enhance 21st century skills.
- 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.
- Perceived competency in complex thinking skills among university community members in Pakistan: insights across disciplines(2024) José Carlos Vázquez Parra; Rasikh, Tariq; Castillo Martínez, Isolda Margarita; Naseer, FawadThis article aims to evaluate university community members’ (faculty members and students, in this case) perceptions of their complex thinking competency and its sub-competencies – including systemic, scientific, critical, and innovative thinking – across various disciplines at eight universities in Pakistan (Objective). Using a validated eComplexity instrument, descriptive statistical analysis of means and standard deviations, a Kruskal–Wallis test, a correlation matrix, and a correlation coefficient heatmap of complex thinking were applied to uncover key patterns and disparities (Methodology). The novelty of this study lies in its focus on how participants perceive their achievement of complex thinking competencies, offering unique insights into the specific challenges faced by different academic disciplines (Novelty). Notably, Humanities and Education profiles reported considerably low levels of competency (mean of 2.39), with statistically significant differences regarding knowledge of research report structures (scientific thinking) and interdisciplinary problem-solving and contextual analysis (innovative thinking) (Results). However, the study’s geographic context and reliance on self-perceived competencies pose limitations, potentially introducing social desirability bias (Limitations). These findings emphasise the need to adapt teaching methods to bridge competency gaps and promote equitable skill development (Conclusions). Future research should extend the study to broader educational contexts to explore regional and international variations, and assess interventions to enhance competencies in underperforming areas – particularly Humanities and Education – improving discipline performance and confidence in complex thinking (Implications).
- Citizen science as a relevant approach to the challenges of complex thinking development in higher education: mapping and bibliometric analysis(Springer Nature, 2024) Alfaro Ponce, Berenice; Durán González, Rosa Elena; Morales Maure, Luisa; Sanabria Zepeda, Jorge Carlos; Tecnologico de Monterrey; https://ror.org/03ayjn504; https://ror.org/031f8kt38; https://ror.org/0070j0q91Educational strategies have undergone significant transformations in an era marked by rapid globalization, advancements in communication technologies, and challenges like the COVID-19 pandemic. Amid these changes, Citizen Science (CS) has gained prominence as an innovative educational approach, particularly in fostering complex thinking skills necessary to navigate contemporary global trends. This study aims to fill the knowledge gap regarding the effectiveness of CS projects in developing complex thinking competencies within higher education. Through a bibliometric analysis of 28 Scopus-indexed articles from 2000 to 2022, this research maps the landscape of CS as an educational strategy and evaluates its alignment with complex thinking development. The analysis indicates a strong link between CS projects and the enhancement of complex thinking and its sub-competencies. It demonstrates that CS initiatives have successfully achieved their educational objectives, substantially enriching the learning experience. Furthermore, the research highlights a growing trend in applying CS for educational purposes. These findings suggest that CS can be a valuable component of higher education curricula, offering a practical method for developing critical competencies in students. The study underscores the potential of CS to contribute meaningfully to the evolution of pedagogical practices and provides a foundation for future research to build upon, particularly in the context of higher education’s response to global educational demands.
- Education in Mexico and technological public policy for developing complex thinking in the digital era:A model for technology management(Elsevier, 2023-09-21) Alfaro Ponce, Berenice; Alfaro Ponce, Mariel; Muñoz Ibáñez, Christopher Antonio; Durán González, Rosa Elena; Sanabria Zepeda, Jorge Carlos; González Gomez, Zaira Lizbeth; Tecnologico de Monterrey; https://ror.org/03ayjn504; https://ror.org/031f8kt38Currently, numerous studies highlight the importance of technology as an effective resource for improving the quality of education. Like other countries in the region, Mexico greatly emphasizes improving its education system comprehensively and competitively, and technology has become a fundamental strategy to achieve this goal. Technology has allowed it to fill existing gaps and introduce innovative models in the digital age, promoting human capital development and fostering thriving communities. Technology also facilitates the development of competencies, such as complex thinking and the skills required to utilize Education 4.0 resources. However, these advances are at risk without examining the possibilities for technology transfer in the region's educational institutions. Accordingly, the following questions arise: a) What is the probability of achieving technology transfer to primary education institutions; b) What investments or modifications are necessary in the existing infrastructure to transfer educational and other technologies? We aimed to develop a quantitative data analysis model to examine the capacity of primary education institutions, applicable also to higher education, to adapt, assimilate, and transfer technology to improve educational quality in Mexico, as proposed by González Sabater in 2011. The results suggest the feasibility of a technology management system validated through a reliable database, considering the existing infrastructure as a basis for technology transfer. This research is relevant in establishing the probability of success of an educational institution in completing the process of assimilation and technology transfer, thus also contributing to governmental decision-making on educational spending.
- Competency-based learning: an approach integrating the domains of complex thinking competency in a group of mexican students(Cherkas Global University Press, 2023) Cruz Sandoval, Marco; Vázquez Parra, José Carlos; Carlos Arroyo, Martina; Medina Vidal, Adriana; https://ror.org/03ayjn504; Molchanova, Violetta S.One characteristic of competency-based education is the integration of knowledge, attitudes, and skills that enable individuals to make better decisions and face the challenges of their professional demands. Given this, universities must develop training models that contribute to this integration; otherwise, they cannot ensure that their students are perceived as genuinely competent. Therefore, this article aims to report in depth how the acquisition and development of the competency of complex thinking were configured in a group of students at a Mexican university with a competency-based educational model to corroborate the integral development of necessary cognition, attitudes, and skills considering the gender variable. Based on a multivariate descriptive statistical analysis, this study sought to identify particular characteristics of the sample to understand the acquisition process and student perception of their competency and subcompetencies considering the development of their various components, knowledge, and domains. In conclusion, although the results show that a moderately balanced perception of development has been achieved, there are still areas of opportunity in some aspects, as in the case of the procedural component, especially among female students. In general, the population does not perceive that the knowledge and attitudes they have developed allow them to develop useful processes or skills in professional practice, which may affect their confidence to lead projects or even enter the labor market once they graduate.