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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- Examining the level of perceived achievement of complex thinking competency in health sciences students and its relevance to the graduate profile(Elsevier, 2024-06) Suárez Brito, Paloma; Vázquez Parra, José Carlos; López Caudana, Edgar Omar; Buenestado Fernández, Mariana; Instituto para el Futuro de la Educación, Tecnológico de Monterrey; https://ror.org/03ayjn504This article presents the findings of a study conducted on health sciences students in their last semester of training regarding their perceived achievement of the complex thinking competency and its sub-competencies. The objective was to gain insight into how these students perceive the cognitive competencies and skills acquired during their university career as relevant to meet the challenges of their future professions. This study contrasts the perception of achievement of complex thinking competence by gender of the participants, as well as compared to students from other disciplines, with the intention of identifying significant differences. This competency's selection lies in its relevance to decision-making when facing problems, which is fundamental for any contemporary professional. This study relied on a representative convenience sample of graduating candidates from a university in western Mexico. Methodologically, the researchers used descriptive analyses and a validated instrument. The results indicated that the sample students' perceived achievement was very high and balanced, i.e., no significant differences existed by gender or the perception of their sub-competencies. This study revealed a significant difference compared to other disciplinary areas; the medical and health sciences graduate candidates' perceived achievement of competency development was higher.
- Financial literacy as a key to entrepreneurship education: a multi-case study exploring diversity and inclusion(MDPI, 2023-11-10) Medina Vidal, Adriana; Buenestado Fernández, Mariana; Molina Espinosa, José Martín; Tecnológico de Monterrey; https://ror.org/046ffzj20; https://ror.org/03ayjn504; Xiaoling, ShuThis article presents the results of the financial literacy assessment of young Mexican students between the ages of 17 and 24 enrolled in public and private institutions in five Mexican cities. This study’s objective was to approach the financial knowledge, behaviors, and attitudes of young Mexicans through focus groups and questionnaires to identify their perceptions of complex thinking and its use for financial products and services. The most relevant findings suggest that (a) most of the young participants in the study use banking services through their parents, (b) there are significant gender differences in financial knowledge and behaviors, (c) critical thinking significantly and positively correlates with financial behaviors and attitudes, and (d) the level of critical thinking predicts financial behavior. There is a need to develop women’s critical thinking to discern between the financial behavior they socially imitate and their capabilities to become more involved in financial issues, thus decreasing the gender gap.
- Predicting open education competency level: A machine learning approach(Science Direct, 2023-11) Ibarra Vázquez, Gerardo; Ramírez Montoya, María Soledad; Buenestado Fernández, Mariana; Olague, Gustavo; https://ror.org/03ayjn504; https://ror.org/046ffzj20; https://ror.org/04znhwb73This article aims to study open education competency data through machine learning models to determine whether models can be built on decision rules using the features from the students' perceptions and classify them by the level of competency. Data was collected from a convenience sample of 326 students from 26 countries using the eOpen instrument. Based on a quantitative research approach, we analyzed the eOpen data using two machine learning models considering these findings: 1) derivation of decision rules from students' perceptions of knowledge, skills, and attitudes or values related to open education to predict their competence level using Decision Trees and Random Forests models, 2) analysis of the prediction errors in the machine learning models to find bias, and 3) description of decision trees from the machine learning models to understand the choices that both models made to predict the competency levels. The results confirmed our hypothesis that the students' perceptions of their knowledge, skills, and attitudes or values related to open education and its sub-competencies produced satisfactory data for building machine learning models to predict the participants' competency levels.
- Use of ChatGPT at university as a tool for complex thinking:students' perceived usefulness(Universidad de Alicante, 2023-07-15) Romero Rodríguez, José María; Ramírez Montoya, María Soledad; Buenestado Fernández, Mariana; Lara Lara, Fernando; https://ror.org/04njjy449; https://ror.org/03ayjn504; https://ror.org/046ffzj20Artificial intelligence (AI) and AI-based chatbots, such as ChatGPT, are transforming the approach to education. In particular, ChatGPT's potential to process large amounts of data and learn from user interactions makes it a beneficial resource for students, albeit with some reluctance from some teachers. This study aimed to explore the acceptance of ChatGPT by university students. The researchers administered an online survey to 400 Spanish university students aged 18-64 (M = 21.80; SD = 6.40). The results of the methodological approach based on the UTAUT2 model for technology adoption showed that: 1) gender was not a determining variable in any construct while the experience of use was a factor conditioning a higher score on all constructs; 2) experience, performance expectancy, hedonic motivation, price value, and habit were influential in behavioral intention to use ChatGPT; 3) facilitating conditions, habit, and behavioral intention were conditioning factors in user behavior. Finally, this report discusses the findings and practical implications of the work and recommends some good uses for ChatGPT.
- Digital competency as a key to the financial inclusion of young people in complex scenarios: A focus groups study(Sage, 2023-04-19) Buenestado Fernández, Mariana; Ramírez Montoya, María Soledad; Ibarra Vázquez, Gerardo; Patiño Zúñiga, Irma Azeneth; Instituto Tecnológico y de Estudios Superiores de MonterreyYoung people’s financial and digital literacy have been studied independently and in-depth during the last decades. However, digital financial literacy as a compound concept is novel and still needs to be explored in the scientific literature. This work investigated young people’s perception of their digital financial culture, identified factors that hinder or facilitate it, and explored their preferences in the training modalities for improvement. Twenty-two focus groups were carried out in different Mexican educational institutions based on diversity criteria. The evidence shows that: (1) young people perceive the need for digital financial education linked mainly to the understanding of critical concepts, the use of mobile applications, online financial operations, and digital financial security; (2) some voluntarily exclude themselves from online finance, this being one of the main obstacles in the development of digital financial culture; (3) the digital financial culture gap is accentuated more among young people in public educational institutions and upper secondary education; (4) they have a preference for emerging technological and digital resources for their training in digital finance. These findings make it possible to contextualize training proposals that favor the financial inclusion of young people in complex scenarios brought about by the digital transformation of the economy and society.