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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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- The level of happiness and Its relationship with personal and occupational well-being in women leaders at a mexican university: an exploratory study(MDPI, 2024-08-06) Ortiz Meillón, Viviana; Guerra Leal, Eva María; Vázquez Parra, José Carlos; https://ror.org/03ayjn504This exploratory study aims to identify the state of well-being of a select group of women leaders in a Mexican university by analyzing the relationship between their perception of happiness and their satisfaction with their life and work. Through the application of a psychometric battery, this work examined how these leaders manage their well-being within an environment that is simultaneously empowering and demanding. Methodologically, a descriptive statistical analysis was performed, including a correlation analysis of all items. As a result, the research identified positive correlations between the variables age and positive perceptions of work and life, which are strongly associated with high personal and professional satisfaction. In addition, people who find their work rewarding and feel that their life is close to their ideal tend to be more satisfied in general. Although this study intended to be exploratory, it also sought to contribute a deeper understanding of the well-being status of women in university leadership positions in Mexico. In doing so, it filled an important gap in the literature on gender, leadership, and well-being in Latin American academia by highlighting the complexity of managing and supporting women in leadership positions.
- Importance of university students’ perception of adoption and training in artificial intelligence tools(MDPI, 2024-08-03) Vázquez-Parra, José Carlos; Henao Rodríguez, Diana Carolina; Lis Gutiérrez, Jenny Paola; Palomino Gámez. Sergio; https://ror.org/03ayjn504Undoubtedly, artificial intelligence (AI) tools are becoming increasingly common in people’s lives. The educational field is one of the most reflective on the importance of its adoption. Universities have made great efforts to integrate these new technologies into their classrooms, considering that every future professional will need AI skills and competencies. This article examines the importance of student perception and acceptance in adopting AI tools in higher education effectively. It highlights how students’ positive perceptions can significantly influence their motivation and commitment to learning. This research emphasizes that to integrate AI into university curricula successfully, it is essential to include its technologies in all areas of study and foster positivity among students regarding their use and training. This study’s methodology applied the validated instrument “Perception of Adoption and Training in the Use of Artificial Intelligence Tools in the Profession” to a sample of Mexican students. This exploratory analysis highlights the need for educational institutions to understand and address student perceptions of AI to design educational strategies that incorporate technological advances, are pedagogically relevant, and align with the students’ aspirations and needs.
- Developing scientific entrepreneurship and complex thinking skills: creating narrative scripts using ChatGPT(Frontiers, 2024-07-02) George Reyes, Carlos Enrique; Vilhunen, Elisa Ellen Marjaana; Avello Martínez, RaidellLópez Caudana, Edgar Omar; https://ror.org/03ayjn504The increased access to artificial intelligence (AI) applications has made it possible to develop more engaging and complex educational activities for students in different disciplines. This research explored expanding university students’ knowledge of scientific entrepreneurship skills using an Artificial Intelligence application. The students participated in a training experience using the conversational ChatGPT language model to generate narrative scripts for various topics on scientific discoveries and technological advances to create new products or services that offer cost-effective solutions based on science. The experience was designed employing the i4C model (identify, ideate, invent, inform). The study used a two-sample design with repeated measurements based on a pre-test and post-test. One hundred five graduate students from two master’s degree programs at the Bolivarian University of Ecuador participated during the 2022–2023 academic period. The results indicate that the students notably improved in acquiring the knowledge necessary for scientific entrepreneurial skills. The study concluded that applying AI ChatGPT with a narrative scripting strategy can create new learning opportunities for students.
- Complex artificial intelligence models for energy sustainability in educational buildings(Springer Nature, 2024-07-01) Tariq, Rasikh; Mohammed, Awsan; Alshibani, Adel; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504; https://ror.org/03yez3163Energy consumption of constructed educational facilities significantly impacts economic, social and environment sustainable development. It contributes to approximately 37% of the carbon dioxide emissions associated with energy use and procedures. This paper aims to introduce a study that investigates several artificial intelligence‑based models to predict the energy consumption of the most important educational buildings; schools. These models include decision trees, K‑nearest neighbors, gradient boosting, and long‑term memory networks. The research also investigates the relationship between the input parameters and the yearly energy usage of educational buildings. It has been discovered that the school sizes and AC capacities are the most impact variable associated with higher energy consumption. While ’Type of School’ is less direct or weaker correlation with ’Annual Consumption’. The four developed models were evaluated and compared in training and testing stages. The Decision Tree model demonstrates strong performance on the training data with an average prediction error of about 3.58%. The K‑Nearest Neighbors model has significantly higher errors, with RMSE on training data as high as 38,429.4, which may be indicative of overfitting. In contrast, Gradient Boosting can almost perfectly predict the variations within the training dataset. The performance metrics suggest that some models manage this variability better than others, with Gradient Boosting and LSTM standing out in terms of their ability to handle diverse data ranges, from the minimum consumption of approximately 99,274.95 to the maximum of 683,191.8. This research underscores the importance of sustainable educational buildings not only as physical learning spaces but also as dynamic environments that contribute to informal educational processes. Sustainable buildings serve as real‑world examples of environmental stewardship, teaching students about energy efficiency and sustainability through their design and operation. By incorporating advanced AI‑driven tools to optimize energy consumption, educational facilities can become interactive learning hubs that encourage students to engage with concepts of sustainability in their everyday surroundings.
- Complex thinking and robotics: a proposal for sexual and gender diversity and inclusion training(Emerald insight, 2024-06-27) Suarez Brito, Paloma; Alonso Galicia, Patricia Esther; López Orozco, Christian Fernando; Vázquez Parra, José Carlos; López Caudana, Edgar Omar; https://ror.org/03ayjn504The objective of this proposal was to propose an educational innovation resource for the delivery of workshops with lesbian, gay, bisexual, transgender, queer, intersex and asexual (LGBTQIA) themes aimed at students in high school and middle school to promote complex thinking as a necessary competency for understanding their continuously changing environment.
- Scientific thinking engineering and health sciences.Competency analysis in a mexican university(JSSER, 2024-06-25) Suárez Brito, Paloma; Vázquez Parra, José Carlos; Alonso Galicia, Patricia Esther; Cruz Sandoval, Marco Antonio; Malagón Castro, Luz Elena; https://ror.org/03ayjn504This article presents the findings of a comprehensive skills-and-competencies analysis conducted among incoming Engineering and Health Sciences freshmen at a leading technological university in Mexico. The primary objective was to determine whether these students possessed an ideal competency profile that would effectively prepare them to meet the evolving demands of their future professional training. The study focuses on evaluating complex thinking macro-competency, recognizing its critical importance in equipping individuals to tackle the multifaceted challenges and intricacies they will encounter in their academic and professional journeys. More precisely, this research focuses on the assessment of scientific thinking as a meta-competency of complex thinking macro-competency and considered a cornerstone competency essential for success in the fields of Engineering and Health Sciences. The statistically significant findings demonstrated marked disparities in the perception and development of complex thinking macro-competency and, specifically, in the meta-competency of scientific thinking among incoming students in the Engineering and Health Sciences domains, as opposed to their counterparts in Humanities and Social Science. This observation gains particular importance in the context of the requisite competency sets for career paths in Engineering and Health Sciences, accentuating the students' proficiency and preparedness to excel in their selected fields. These results emphasize the criticality of conducting competency assessments at early stages and advocate for the modification of educational methodologies to foster the specialized competencies vital for prospective success in these disciplines. The results are analyzed in terms of their suitability for aligning educational goals with the evolving demands of the Engineering and Health Sciences fields. Overall, this study centers on the fundamental aspects of education, highlighting its importance not only due to its relevance but also for its capacity to drive meaningful changes in the future landscape of higher education.
- Gender gap in the level of perceived achievement of complex thinking in business education in a mexican university population(Emerald insight, 2024-06-24) Medina Vidal, Adriana; Vázquez Parra, José Carlos; Cruz Sandoval, Marco Antonio; Echaniz Barrondo, Arantza; https://ror.org/03ayjn504This article endeavors to detail the outcomes of an exploratory investigation into the perceived attainment levels of complex thinking competencies among business students at a technological university in western Mexico. It seeks to examine and contrast the students' self-assessed development of this critical competency, along with its associated sub-competencies, throughout their academic tenure.
- Effectiveness of using ChatGPT as a tool to strengthen benefits of the flipped learning strategy(MDPI, 2024-06-18) Huesca Juárez, Gilberto; Martínez Treviño, Yolanda; Molina Espinosa, Jose Martín; Sanromán Calleros, Ana Raquel; Martínez Román, Roberto; Cendejas Castro, Eduardo Antonio; Bustos Gardea, Raime Alejandro; https://ror.org/03ayjn504In this study, we evaluate how ChatGPT complements and enriches the traditional flipped learning strategy in higher education, particularly in engineering courses. Using an experimental design involving 356 students from basic programming courses in undergraduate engineering programs, we compared the normalized learning gain between groups that used the ChatGPT-assisted flipped learning strategy (focus groups) and those that followed a traditional video-based flipped learning methodology (control groups). The intervention lasted ten weeks, with two sessions of two hours each week. A pre-test–post-test analysis revealed that the focus groups showed significant improvement in normalized learning gain values compared to the control groups. These results confirm that incorporating ChatGPT into the flipped learning strategy can significantly enhance student performance by providing a more active, interactive, and personalized approach during the teaching–learning process. We conclude that the flipped learning strategy, upgraded with the assistance of ChatGPT, provides an effective means to improve understanding and application of complex concepts in programming courses, with potential to be extended to other areas of study in higher education. This study opens routes for future research on the integration of artificial intelligence into innovative pedagogical strategies with the goal of scaffolding the learning experience and improving educational outcomes.
- Adaptive learning for complex thinking: A systematic review of users' profiling strategies(JSSER, 2024-06-17) Álvarez Icaza Longoria, Inés; Molina Espinosa, José Martín; Suarez Brito, Paloma; https://ror.org/03ayjn504Adaptive learning strategies applied to e-learning have become a relevant approach towards diversity and inclusion. They bring several benefits to learners in the role of digital platform users, related to the user experience, but primarily in the learning process optimization. It aims to provide mediation, tailored content, and adequate channels for users' capabilities and learning styles. The OpenEdR4C is a digital open educational platform designed to expand complex reasoning skills in students and lifelong learners of higher education. The platform addresses five types of learning obstacles: sensory limitations, learning styles, sociodemographic and socioeconomic contexts, and certain kinds of neurodiversity. All these considerations require a dynamic and assertive user profiling strategy to provide compelling adaptive learning experiences. This paper presents a Systematic Literature Review of user profiling strategies published in the last five years in SCOPUS and Web of Science databases. The findings allowed for the identification of successful and applicable strategies that the OpenEdR4C research and development teams used to select and shape the suitable strategy for the platform in three levels: a) procedures that allow the user to self-declare their profile and preferences; b) profiling based on the system's detection of patterns and behaviors shown by the users; and c) evaluation techniques to validate the effectiveness of the profiling instruments. The results and discussion presented are valuable insights for educators, developers in the context of open educational resources design, and decision-makers of HiEd institutions or training centers. There is a suitable strategy for every type of profiling necessity; here is a combination of many to be used and developed collectively.
- Health professionals’ competencies in the framework of complexity: Digital training model for education 4.0(Editorial CSIC, 2024-06-12) Fernández Luque, Antonia María; Ramírez Montoya, María Soledad; https://ror.org/01mqsmm97; https://ror.org/03ayjn504Complex environments require changes in training models for health professionals to support access to knowledge for teaching and clinical research decision-making. These changes require digital competency training to successfully address knowledge acquisition and lifelong learning in the digital health ecosystem. This research aims to analyse the habits of use of information resources by healthcare professionals in professional practices and to propose a model for training in digital competence. An exploratory and explanatory research method was chosen. Data collection techniques included pre-test and post-test questionnaires for the training activities. The program designed to develop digital competency under the model proposed in this study had significant acceptance among users who valued all the contents, resources, and teachers and considered it effective. Training in digital competencies is one of the drivers of digital transformation. Teaching-learning models in virtual environments pose challenges for 21st-century libraries.