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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- Data analytics and artificial neural network framework to profile academic success: case study(Taylor & Francis, 2024-12-01) Quintero Gámez, Lorena; Tariq, Rasikh; Sánchez Escobedo, Pedro; Sanabria Zepeda, Jorge CarlosAcademic success in higher education has attracted interest from the scientific community because of its implications for personal development and societal progress. Programmes such as Tecnologico de Monterrey’s Leaders of Tomorrow aim to nurture students’ potential and promote academic success. This study examines the attributes from participating students associated with academic success. The focus is on personality and socio-demographic factors that influence academic excellence. The research contribution of this work is data analysis supported by artificial neural networks to establish the relationship between personality tests and background information with academic performance. The findings were: (a) high school GPA predicts university success; (b) first-generation degree status is associated with higher GPA; (c) gender differences in academic performance vary by context; and (d) personality profiles are not associated with academic performance. The role of socio-demographic and personality factors in predicting the academic success of prospective students is discussed.
- 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.
- Exploring complex thinking in latin american universities: comparative analysis between programs and alternative credentials(Taylor @ Francis Online, 2024-03-17) Ramírez Montoya, María Soledad; Quintero Gámez, Lorena; Sanabria Zepeda, Jorge Carlos; Portuguez Castro, May Iliana; https://ror.org/03ayjn504Training the high-order competency of complex thinking encompasses addressing its sub-competencies of critical, innovative, scientific and systemic thinking. In this framework, how do the practices of reasoning for complexity in Latin American institutions differ from other regions? This study focused on comparing training practices that promote complex thinking in national and international educational entities through analysis of their programs and alternative professional credentials to identify best educational practices. The comparative education method benchmarked the selected institutions and compared the best educational practices. The four categories of analysis were the philosophical, theoretical, and political components and the educational process. A significant-document analysis was applied to publications found on the websites of 19 educational institutions, and the data were triangulated. The findings accounted for (a) educational institutions seeking to educate individuals who can improve the quality of life in society and contribute to sustainable development, (b) educational practices aimed at developing complex thinking competencies and lifelong learning as essential for new educational models, (c) the collaboration of researchers, faculty, and other stakeholders, and appropriate tools for formative assessment, promoting the development of complex reasoning competencies in changing environments, and (d) educational processes focused on developing high skills, innovation, and digital transformation as essential for designing the future of education. This study is intended to be of value to managers, decision-makers, professors, researchers, and society interested in creating new programs to develop high-level capabilities, such as complex thinking.