Facultad de Ciencias Sociales y Humanas
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Item type:Publication, Beyond Linear Statistics: A Machine Learning Ecosystem for Early Screening of School Bullying(2026); 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Propiedades psicométricas del European Bullying Intervention Project Questionnaire (EBIPQ) y el European Cyberbullying Intervention Project Questionnaire (ECIPQ) en una muestra de adolescentes del Ecuador(2025); 7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The emotional cost of service: a comparison between health and education professionals(2025); Daphne S. Narváez-AlmeidaThere is an emotional toll on healthcare workers and also on educators, who experience stress and trauma in their daily work. The objective of this study is to compare the manifestation of Compassion Fatigue and Compassion Satisfaction in these two groups. To measure this emotional toll, the PROQoL IV test was administered. The results showed that while both groups experience greater Compassion Fatigue the longer they have been in their profession, it is educators who show a deeper burnout. It is suggested that future tools be developed to enable teachers to manage these situations effectively without compromising their quality of life. © 2025 IEEE.13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Applying Classification Techniques in Machine Learning to Predict Job Satisfaction of University Professors: A Sociodemographic and Occupational Perspective(2024); ; Camila Alessandra Valarezo-Calero<jats:p>This article investigates the factors that affect the job satisfaction of university teachers for which 400 teachers from 4 institutions (public and private) in Ecuador were stratified, resulting in a total of 1600 data points collected through online forms. The research was of a cross-sectional design and quantitative and used machine learning techniques of classification and prediction to analyze variables such as ethnic identity, field of knowledge, gender, number of children, job burnout, perceived stress, and occupational risk. The results indicate that the best classification model is neural networks with a precision of 0.7304; the most significant variables for predicting the job satisfaction of university teachers are: the number of children they have, scores related to perceived stress, professional risk, and burnout, province of the university at which the university teacher surveyed works, and city where the teacher works. This is in contrast to marital status, which does not contribute to its prediction. These findings highlight the need for inclusive policies and effective strategies to improve teacher well-being in the university academic environment.</jats:p>25 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Influence of Artificial Intelligence in the Academic Field Within the Context of Higher Education in Ecuador(2026)17 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Self-regulation of Learning and Personality: a Predictive Study in University Students from the Ecuadorian Highlands(2023)30 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Inclusive education and psychological wellbeing: Support strategies for students in diverse settingsThis study examines the relationship between inclusive education and psychological wellbeing, emphasizing pedagogical and institutional strategies that promote students’ active participation in diverse educational contexts. The purpose of the research is to analyze the main barriers affecting inclusion and emotional wellbeing in school settings and to identify support strategies with the greatest perceived impact on students’ engagement and retention. A qualitative, hermeneutic-interpretative approach was adopted, based on a documentary review of scientific literature published between 2020 and 2025. Peer-reviewed articles, policy documents, and institutional reports were selected from recognized databases such as Scopus, SciELO, ERIC, and IEEE Xplore. The analysis focused on inclusive education, psychological wellbeing, teacher training, socioemotional strategies, and educational policy. The results reveal that the most significant barriers to inclusive education are insufficient teacher training in inclusive and socioemotional practices (reported in 85% of the reviewed studies), the disconnect between pedagogical strategies and students’ psychological needs (78%), and the lack of adaptive educational resources (72%). Additionally, limited emotional support systems and weak institutional policies oriented toward wellbeing contribute to higher levels of demotivation and school dropout, particularly in vulnerable regions. Conversely, strategies such as Social and Emotional Learning (SEL) and Universal Design for Learning (UDL) showed the highest perceived impact, with effectiveness scores of 4.6 and 4.4 out of 5, respectively. The study concludes that inclusive education cannot be achieved without systematically addressing students’ psychological wellbeing. Integrating socioemotional education, strengthening teacher training, and aligning public policies with inclusive and human-centered approaches are essential to fostering equitable, safe, and meaningful learning environments. These findings highlight the need for comprehensive educational models that connect pedagogical, emotional, and institutional dimensions.</jats:p>4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of Social Networking Use in Youth and the Relationship of Mood StatesThis research has focused on identifying the levels of aggression and irritability observed in a group of young participants due to the use of social networks. Since their beginnings, social networks have captured the attention of several users, with the youngest being those who use them most frequently. This excessive use has generated changes in the habitual behavior of young people and has caused the content they observe to affect their moods significantly. This research carried out with 45 participants shows that although the levels of irritability and aggression are located at low and average levels, it can also be observed that the more time they spend on these networks, the more aggression and irritability increase.36 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of the Attitudinal Assessment Scale Towards Artificial Intelligence (EVAIA-1)(2023); 79 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Intervention against school bullying through emerging technologies: a literature review(2025); ; ; Francisco Sebastián Vaca-PintoSchool bullying remains a persistent issue that negatively affects students' well-being and academic performance. Private educational institutions face unique challenges in addressing this problem due to limited resources and teacher training. This literature review explores the use of emerging technologies - such as virtual reality (VR), mobile applications, and artificial intelligence (AI) - as innovative tools to prevent and mitigate school bullying. Recent studies that implement these technologies in educational settings were analyzed to assess their effectiveness and applicability. The findings suggest that such tools can foster empathy, facilitate anonymous reporting, and enable early detection of incidents, contributing to the development of safer and more supportive school environments. © 2025 IEEE.19