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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- Scale to measure student perception in collaborative online international learning experiences: design and validation(Frontiers, 2024-08-15) Rozo Garcia, Hugo Alexander; Alcántar Nieblas, Carolina; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504Digital education is favorably positioned as a learning option; it employs various strategies, pedagogies, and methodologies, including collaborative online international learning experiences (COIL). This alternative, inherent to the digital era, transcends traditional educational methods by boosting technology to enhance learning experiences. Its given purpose is to improve learning gains, foster interculturality, internationalizing the curriculum, and strengthening skills necessary for the 21st century. Moreover, it can potentially address global educational needs that have not been fulfilled in the past.
- Psychometric properties of a scale to measure social entrepreneurship competency in mexican university students(Emerald insight, 2024-07-10) Alcántar Nieblas, Carolina; Glasserman Morales, Leonardo David; Vázquez Parra, Jorge Carlos; https://ror.org/03ayjn504The purposes of this study were to calculate the confirmatory factor analysis in the measurement model using robust measures (McDonald’s omega and Cronbach’s alpha) to ensure the reliability of the proposed scale and to explore the measurement invariance of the scale per the participants’ gender.
- Validation of a scale to measure the adoption of open educational resources: students'perspective(2024-05-26) Glasserman Morales, Leonardo David; Alcántar Nieblas, Carolina; Romero Rodriguez, José Maria; https://ror.org/03ayjn504; https://ror.org/04njjy449It is increasingly evident that using technological resources has broadly impacted people's lives, including their education. One of the technologies implemented for several years is Open Educational Resources (OER), with elements of open practice to mitigate the impact of the digital divide. This article describes the validation process of an instrument to measure the adoption of OER as perceived by higher education students in Mexico (means, standard deviations and normality, construct validity and reliability). The study included 392 participants, of whom 117 (29.8%) were male, 273 (69.6%) were female and 2 (.5%) did not identify with either sex. Ages ranged from 18 to 62 years (M= 22.0 years, SD= 5.8). The instrument underwent descriptive statistics techniques, univariate normality analyses, and Confirmatory Factor Analysis using the maximum likelihood estimation method. The reliability of the measurement model was confirmed using Cronbach's Alpha and McDonald's Omega index. The resulting validated instrument investigates students' perceived usefulness, perceived ease of use, attitude, subjunctive standards, and behavioral control. For future studies, the application of the scale is suggested because of its manageable number of items and ease of administration, along with the examination of other validity tests that will help increase the robustness of the proposed measurement model, this measurement scale will be useful for teachers and researchers interested in understanding the impact of OER in education.
- EGame-flow: psychometric properties of the scale in the mexican context(Emerald insight, 2024-05-17) Alcántar Nieblas, Carolina; Glasserman Morales, Leonardo David; Pacheco Velázquez, Ernesto Armando; Ramírez Echeverri, Sergio Augusto; https://ror.org/03ayjn504; https://ror.org/03y3y9v44The present study examined the psychometric properties of the EGame- flow scale in a Mexican sample, presenting evidence of construct validity (exploratory factor analysis and confirmatory factor analysis), reliability (Cronbach’s alpha and McDonald’s omega) and discriminant validity (mean variance extracted).
- The social innovation profile in students as a transformation strategy: structural equation modeling(Frontiers, 2024-03-08) Glasserman Morales, Leonardo David; Alcántar Nieblas, Carolina; Nava Lara, Sergio Alberto; Tecnologico de Monterrey; https://ror.org/03ayjn504; https://ror.org/01aff2v68The development of social entrepreneurship competencies in university students favors the generation of proposals for solutions to different social problems, thus promoting a positive social impact capable of transforming people’s living conditions. This study aims to analyze the relationship between the dimensions of social entrepreneurship competence: entrepreneurial management, social value, leadership, effective communication and social innovation. A total of 408 higher education students from 13 countries and six different disciplinary areas participated in the study, ranging in age from 18 to 58 years (M = 22.4, SD = 6.0). The social entrepreneurship instrument was used, which is composed of 28 items grouped into five dimensions. A structural equation model was calculated. The findings indicate that entrepreneurial management, social value, and leadership are directly and positively related to personal competencies and social innovation. These results prove the importance of social entrepreneurship training in the development of social innovation in students, it is important that educational institutions in general carry out a review of their curricula and programs that take into account the development of social innovation competence as a factor that can enhance social change.
- Demographic and school factors associated with digital competences in higher education students(Bastas, 2024-02-26) Glasserman Morales, Leonardo David; Alcántar Nieblas, Carolina; Sisto, Marcela Ines; Tecnologico de Monterrey; Universidad Católica de Argentina; https://ror.org/03ayjn504; https://ror.org/0422kzb24Nowadays, digital competencies encompass skills and attitudes with technical, informational, content, media, and communication aspects that are crucial for students and future professionals. Hence, there is a need to investigate the possible correlations between demographic and contextual variables and the development of digital competencies in higher education. This paper reports on several university-student demographic factors associated with digital competencies. The work used a quantitative approach with descriptive statistical techniques such as a means test and Pearson correlation analysis. The findings identified that (a) there are statistically significant differences between the mean obtained in the previous semester in digital competencies and the gender of the students, (b) there are no statistically significant differences in the final mean for digital competencies and the students’ institution of origin, and (c) the variables included in the study are statistically significant. They also found that the mean attained by the university students in the previous semester had a strong predictive power of student performance; in contrast, the student’s high school institution of origin variable was a weak predictor of their digital competency. This paper presents the findings and implications for practice and research.
- 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.
- Use of wearable devices in the teaching-learning process:a systematic review of the literature(Frontiers, 2013-09-13) Glasserman Morales, Leonardo David; Carlos Arroyo, Martina; Ruiz Ramirez, Jessica Alejandra; Alcántar Nieblas, Carolina; https://ror.org/03ayjn504Multimodal learning analytics (MMLA) has emerged as an encompassing approach to data collection, facilitating the analysis of student interactions across a variety of resources. MMLA capitalizes on data gleaned from diverse interactions, utilizing wearable devices to track physiological responses. This yields deeper insights into factors such as cognitive load, stress levels, interest, and other stimuli pivotal to the learning process. Nonetheless, it is crucial to acknowledge the theoretical and practical challenges underpinning the integration of wearable devices into learning experiences, both in academic settings and in everyday life activities. A systematic review of the literature (SLR) was conducted to identify the characteristics of studies that incorporate wearable devices into teaching-learning process analyses. The outcomes enabled us to discern key attributes such as participant descriptions, the activities implemented for data collection, and a broad spectrum of biometric indicators, with electrodermal activity (EDA) and heart rate (HR) among the most commonly employed methodologies in data analysis. Future endeavors should be centered on the formation of interdisciplinary teams. The objective is to devise novel methodologies for multimodal data collection and analysis that can discern performance variables, thereby enhancing learning in a manner conducive to more fluid, reflective educational experiences for all participants in the teachinglearning process.