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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- 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.
- 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.
- Systemic thinking and gender: an exploratory study of mexican female university students(Springer Nature, 2023-11-10) Cruz Sandoval, Marco Antonio; Carlos Arroyo, Martina; De los Ríos Berjillos, Araceli; Instituto para el Futuro de la Educación, Tecnológico de Monterrey; https://ror.org/03ayjn504; https://ror.org/026p1jb43; https://ror.org/0075gfd51The purpose of this article is to present the results of a study conducted on a population of students from two educational institutions in western Mexico. The intention is to identify how students perceive their level of systemic thinking, focusing primarily on women. Thus, this article seeks to identify differences not only on the basis of gender (men–women) but also on the basis of social status (public and private institutions). Methodologically, a descriptive statistical analysis was carried out with which it was possible to conclude that, although statistically significant differences between men and women are not identified, they are found between groups of women in public and private institutions. This article invites reflection on the need to study possible gender gaps from an intersectional perspective, which considers the differences between genders and the various dimensions and relations of women in their educational process.
- Improving the attention span of elementary school children for physical education through an NAO robotics platform in developed countries(Springer Nature, 2022-03-17) Ponce Cruz, Pedro; Molina Gutiérrez, Arturo; Baltazar Reyes, Germán Eduardo; Mazon Parra, Nancy; https://ror.org/03ayjn504Education today faces a powerful enemy: the lack of interest from students, who, even if attending class, find themselves distracted. This enemy has been in our schools for a long time, but it has never been as strong as it is now. Technology has made it strong; phone-bearing children have become its ally. This investigation intends to return technology to our side as educators by proposing the use of an assistive robot, proving that it attracts the attention of students and motivates them to enjoy Physical Education (PE) class, where children learn how to live a healthy life, avoiding diseases and conditions such as obesity, diabetes, and heart problems. To prove this, we measured the attention levels and motivation of the students in two primary school classes, one, a traditional class, and the other, a robot-assisted class. The data was analyzed from both engineering and psychological perspectives. This study concludes that the attention span of children improves, and their motivation increases as a result of using an NAO robot. Consequently, a robot-assisted PE class can decrease diabetes, obesity, and strengthen heart functions when the children learn how to live a healthy life effectively.
- Instructional interface’s blueprint for guiding instructional-technological interactions’ research: the Big Bang shift in K-12(Springer Nature, 2020-11-30) Assaf Silva, Nayiv Amin Jesus; Instituto Tecnológico y de Estudios Superiores de MonterreyThis response reviews and analyzes the ten focal topics and three elements introduced in Nacu, Martin, and Pinkard’s work, entitled “Designing for 21st century learning online: a heuristic method to enable educator learning support roles”. An analogy of the London Stock Exchange’s Big Bang is drawn to describe the moment education is currently living. In this context, homeschooling guided learning is analyzed. Nacu, Martin, and Pinkard (2018) offered insightful approaches for the sudden shift to digital that the world has experienced since April 2020. Their inquiries coincided with the questions asked by researchers and teachers around the world when their schools were closed due to the COVID-19 lockdown. Along with Nacu et al.’s (Educ Tech Res 64(4):1029–1049, 2018) effort, a theoretical framework, an instructional interface model, is conceptualized as a blueprint, to offer a guide for research for instructional-technological interactions. In this scenario, shifting to digital is not just a tech shift but a worldwide creators’ mindset shifts.
- Factors influencing the formation of intra-institutional formal research groups: group prediction from collaboration, organisational, and topical networks(Springer Nature, 2018-01-01) Garza, Sara E; Ceballos Cancino, Héctor Gibrán; Cantú Ortiz, Francisco Javier; Tecnológico de MonterreyThe factors that foster successful scientific collaboration and team- work have been studied extensively. However, these factors have been studied in isolation and it is not clear to what extent one factor is more relevant than other in the formation of research groups. In this work we propose a new methodology based on network analysis to simultaneously evaluate multiple factors considered relevant in the conformation of formal research groups. Our methodology is supported on structural, statistical, and correlation analysis. In addition to validating our methodology with a case study at a research- teaching university, we introduce a new network to represent the success of sci- entific collaboration that produces the best prediction in group formation. Our methodology and the results obtained can be used for organising researchers in a university that seeks to strengthen its research strategy.