Complex artificial intelligence models for energy sustainability in educational buildings.

Energy 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.

Predicting open education competency level: A machine learning approach.

This 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 impact of national culture in the development of complexity reasoning skills: An international comparison.

There is a clear inequality in gender distribution for the STEM areas (Science, Technology, Engineering, and Mathematics). Furthermore, there is a noticeable lack of diversity and a socio-economic gap that requires actionable solutions. To explore potential factors that affect the participation of women in STEM, this paper reviews two possible groups of determinants: national culture and complexity thinking.

Academic literacy among the university students in Mexico and Spain: A holistic perspective.

Introduction: Currently, young people have access to a large amount of information, so they must have the ability to critically analyze the texts they are exposed to in order to choose those that are useful for their training or research process, as well as to have the necessary skills to interact efficiently with the texts, especially with those specialized documents corresponding to their area of study. In this regard, this article aims to identify how cognitive, emotional, attitudinal, digital and personality aspects influence the development of academic literacy skills in university students.

Method: Research was conducted with the mixed method, in which quantitative instruments were applied and analyzed: a Likert scale questionnaire to measure the perceived level of mastery of academic literacy skills, which was applied to a sample of 595 students from higher education institutions in Mexico and Spain.

Traits of Complex Thinking: A Bibliometric Review of a Disruptive Construct in Education.

The purpose of this research is to contextualize the behavior of publications on complex thinking in education. A total of 428 documents compiled in Scopus from 1937 to 2022 were analyzed with a bibliometric study considering criteria such as "complex thinking", "complex thought", and "reasoning for complexity", all combined with education. The results show 153, 47, and 5 publications for each criterion with their related disciplines, citations, types of documents, universities, prominent authors, researching countries, and the general diachronic evolution of the subject, this allows to establish an idea about the implications of the present study according to one of the most important databases in the world.

Technological Ecosystems That Support People With Disabilities: Multiple Case Studies.

Advances in technology, research development, and teaching practices have brought improvements in the training, levels of autonomy, and quality of life of people who need support and resources appropriate to their circumstances of disability. This article focuses on empirically analyzing the usefulness of treatments that have been supported by technology to answer the question "How do technological ecosystems being used help people with special educational needs?" The multiple case study methodology was used to address six categories of analysis: project data, objectives, processes, outputs and outcomes, technologies, and impact. The processes, open in communication, were characterized as transversal, ethical, and sustainable.

Mexican and Spanish university students' Internet addiction and academic procrastination: Correlation and potential factors.

The 21st-century problem of Internet addiction is increasing globally, but especially among university students. Not surprisingly, then, problematic Internet use is associated with university students' academic procrastination. Because studies are scarce in Mexico and Spain has one of the highest rates of Internet addiction in Europe, this paper (i) analyzed the presence and degree of Internet addiction among university students in Mexico and Spain, (ii) determined potential sociodemographic factors influencing Internet addiction, and (iii) established the type of correlation between Internet addiction and academic procrastination.