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    Mapping Adolescent Well-Being: A Network Analysis of Subjective and Psychological Well-being in Ecuador
    (Springer Science and Business Media LLC, 2026-07-24)
    Moreta-Herrera, Rodrigo
    ;
    Salinas-Palma, Alexandra
    ;
    ;
    Rodas, Jose A.
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    Jara-Rizzo, Maria F.
    The objective is to identify the relationship between Subjective Well-being (SWB) and Psychological Well-being (PWB) in a sample of Ecuadorian adolescents, as well as to explore gender differences using a psychological network approach. A descriptive, relational, cross-sectional study employing psychological network analysis was conducted. A total of 567 adolescents participated, 57.1% were girls and 42.9% boys, aged between 12 and 18 years (M = 15.87, SD = 1.31). These adolescents were enrolled in 15 educational institutions across three provinces of Ecuador. The results show that SWB and PWB form a stable network with bridge nodes connecting the two theoretical communities, indicating co-occurrence, particularly through nodes associated with the cognitive component of SWB and mediated by affect. Gender-based comparisons revealed no significant differences between boys and girls, indicating an absence of differences in the network. It is concluded that the BS-BP network reveals specific mechanisms through which these components connect and their importance within the theoretical model of hedonic and eudaimonic well-being. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2026.
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    Data-Driven Profiling of Reading Processes in Secondary Students: Learning Analytics Insights From PROLEC Assessment
    The integration of Learning Analytics (LA) into traditional psychometric assessments offers a transformative path for personalizing secondary education. This study proposes a “psychometric-first” analytical pipeline that converts item-level responses from the PROLEC-SE-R battery into actionable learner models for Interactive Learning Ecosystems (ILE). Using data from 256 Ecuadorian secondary students, we applied Categorical Principal Component Analysis (CATPCA) to address the ordinal nature of the psychometric data, identifying four latent dimensions of reading: lexical, syntactic, semantic, and integration processes. Subsequently, a k-means clustering algorithm identified three distinct cognitive profiles: At-Risk (12.0%), Average (56.8%), and High-Performance (31.2%). The internal validity of these clusters was confirmed through a Davies-Bouldin index of 1.206 and stability analysis via Jaccard bootstrapping. To bridge the gap between psychometric profiling and Human-Computer Interaction (HCI), we developed a rule-based mapping for UI/UX adaptations, where profiles trigger differentiated scaffolding—such as intensive audio-support for at-risk students and complex inferential challenges for high-performers. Results demonstrate that this scalable approach provides a theoretically grounded alternative to hardware-dependent analytics (e.g., eye-tracking) in low-resource contexts. This study contributes to the field of educational data mining by operationalizing latent cognitive features into dynamic instructional interventions, fostering more inclusive and adaptive digital learning environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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    Vocational guidance and personality traits in adolescents: a systematic review of broad personality models and RIASEC associations with vocational outcomes
    (Frontiers Media SA, 2026-06-25) ;
    Jaramillo-Cumbicus, Kayla
    ;
    Faz-Cevallos, Eduardo
    Background The associations between broad personality traits, as captured by the Big Five and related taxonomies and vocational outcomes (career maturity, career decision-making self-efficacy, vocational identity, vocational interests, and the congruence between RIASEC vocational personality and career aspirations) constitute an important field of inquiry for understanding adolescents' career development. Objective The aim of this systematic review was to synthesize the available scientific evidence (2020-2025) on these associations in adolescents, and to examine, where reported, the congruence between RIASEC vocational personality profiles and career aspirations. Methods The review followed the PRISMA 2020 guidelines. Searches were conducted in four databases (PubMed, Scopus, EBSCO, and ERIC) using three complementary search strings, in addition to a manual search. Inclusion criteria comprised: empirical studies of adolescents aged 12-18 years (or with a mean age within this range), published between 2020 and 2025 in English or Spanish, that explicitly examined associations between personality traits assessed under the Big Five model, the HEXACO model (which shares four broad factors with the Big Five), or Holland's RIASEC vocational interests model, and at least one vocational variable (career decision-making, vocational identity, vocational interests, career choice, or career maturity). From a total of 242 records identified, 14 studies were included in the qualitative synthesis. Results Conscientiousness and openness to experience are positive correlates of career maturity, career decision-making self-efficacy, and vocational identity in several, though not all, of the included studies; the strength and direction of the conscientiousness-outcome association varied across vocational outcomes and depended on which other predictors (e.g., RIASEC interests, self-efficacy) were modeled. Neuroticism (and its HEXACO counterpart, Emotionality) was consistently associated with greater decisional difficulties and lower vocational commitment. Studies that applied Holland's RIASEC model to assess vocational interests yielded mixed evidence on cross-cultural congruence: in the small number of studies available (one per cultural context), moderate congruence was observed in a collectivistic Asian sample, while low congruence was reported in a rural Latin American context. These context-specific patterns should be interpreted as preliminary, given that they rest on a single study per cultural setting. Discussion Significant gaps were identified in longitudinal studies, personality-based interventions, and evidence from Latin America. These findings underscore the value of integrating personality trait assessment into vocational guidance programs for adolescents, while acknowledging that the contribution of any single trait depends on contextual and outcome-specific factors. Systematic review registration: https://osf.io/zmdks , identifier 10.17605/OSF.IO/ZMDKS.
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    Designing the future: Star Trek as visual culture, speculative design, and imagination activator in human–technology interaction
    (Frontiers Media SA, 2026-06-05)
    Science fiction audiovisual narratives function as spaces for cultural and design experimentation in which technological interfaces, interactions, and imaginaries are visually articulated before their material realization. From this perspective, the present study aims to analyze Star Trek as a paradigmatic case of visual culture and speculative design, examining how its audiovisual narratives operate as triggers of the imagination that shape expectations about human-technology interaction and contemporary landscapes of communication. The research adopts a qualitative methodology based on non-participant observation and focused audiovisual content analysis, based on the systematic review of episodes of Star Trek: The Original Series and Star Trek: The Next Generation, in order to identify and categorize technological artifacts according to their communicative, interactional and design functions. These representations were later analyzed in a comparative way with technological developments documented through a bibliographic review in specialized databases such as Scopus, Web of Science, Google Scholar. The results show that devices such as portable communicators, voice-controlled interfaces, immersive virtual environments, telepresence systems and diagnostic tools operate as visual and communicative prototypes, influencing interaction paradigms and design expectations present in contemporary technologies. Rather than establishing direct causal relationships, the study concludes that science fiction audiovisual narratives symbolically contribute to technological innovation by mediating meanings, imaginaries, and design logics, positioning Star Trek as a form of speculative design within visual culture that articulates design, communication, and human-technology interaction in contemporary media environments. © 2026 Londoño-Proaño.
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    Loneliness, Emotional Fatigue, Social Dysfunction, and Suicide Risk in Ecuadorian University Students: A Mediation Analysis
    (Russian Psychological Society, 2026)
    Moreta-Herrera, Rodrigo
    ;
    Gordón-Villalba, Paulina
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    Rodas, Jose A.
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    ;
    Revelo-Sánchez, Priscila
    Background. Suicidal risk in university students does not require analysis solely from clinical parameters; it is also necessary to understand it from the perspective of psychosocial factors and the everyday life situations to which the students are mostly exposed. Furthermore, it is a phenomenon with multiple causes, so studying it by integrating the complexity of various actors can help us understand not only direct dynamics but also indirect, multifaceted ones. Objective. To estimate a sequential and latent multiple mediation model of emotional fatigue and social dysfunction in the relationship between loneliness and suicidal risk in Ecuadorian university students. Design. A descriptive, cross-sectional, multiple mediation study using structural equation modelling (SEM). The sample comprised 943 undergraduate students (64.4% women, 35.6% men) from six universities (61.1% public) in four Ecuadorian cities, aged between 18 and 47 years (M=21.62, SD=3.81). Results. Loneliness, emotional fatigue, and social dysfunction are latent predictors of suicidal risk, explaining 60% of its variance. Loneliness exerts both a direct effect on suicide risk and an indirect effect through the sequential multiple mediation of emotional fatigue and social dysfunction. Conclusion. Academic risk factors such as loneliness, emotional fatigue, and social dysfunction are key attributes to consider for preventing suicidal behavior in university students. These predictors can dynamically interact to generate both direct and indirect effects, allowing for a better understanding of the complexity of this phenomenon. © Moreta-Herrera, R., Gordón-Villalba, P., Rodas, J.A., Cuesta-Andaluz, E., Revelo-Sánchez, P., 2026.
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    The emotional cost of service: a comparison between health and education professionals
    (2025) ;
    Daphne S. Narváez-Almeida
    There 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.
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    Beyond Linear Statistics: A Machine Learning Ecosystem for Early Screening of School Bullying
    (2026) ;
    Paúl Bladimir Acosta-Pérez
    ;
    Aitor Larzabal-Fernández
    ;
    Francisco Sebastián Vaca-Pinto
    This study developed and validated a Machine Learning (ML) ecosystem for the early screening of school victimization among Ecuadorian adolescents, a phenomenon that poses a critical barrier to educational equity. Addressing previous methodological limitations, this research intentionally eliminated circular reasoning by excluding all internal psychometric items from the feature set, focusing strictly on sixteen socio-environmental and demographic predictors. A quantitative study was conducted with 1413 students in the province of Tungurahua, utilizing the Synthetic Minority Over-sampling Technique (SMOTE) to correct class imbalance. Supervised classification algorithms, including SVM, Random Forest, and XGBoost, were compared. The results demonstrated that the Random Forest model achieved the most balanced performance, reaching an Accuracy of 60.3% and a Macro F1-score of 0.382. Feature importance analysis identified household structure (Living_With_Monoparental) and Family_Coping_Capacity as the most significant predictors of high-risk profiles. These findings provided a statistically honest and ecologically valid tool for Student Counseling Departments (DECE), enabling a transition toward proactive risk identification grounded in observable social vulnerability rather than reactive symptom reporting.
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    Inclusive education and psychological wellbeing: Support strategies for students in diverse settings
    This 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
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    Influence of Artificial Intelligence in the Academic Field Within the Context of Higher Education in Ecuador
    (2026)
    Javier Guaña-Moya
    ;
    Yamileth Arteaga-Alcívar
    ;
    Diego Yánez Flores
    ;
    Luis Enrique David Tenorio
    ;
    David Ramos Galarza
    The impact of artificial intelligence (AI) in the academic field and its integration in higher education in Ecuador constitutes an increasingly relevant topic. AI has seen notable advances in various spheres, ranging from agriculture and manufacturing to medicine and education. These technological progresses are generating a growing demand for professionals specialized in AI, causing a substantial transformation in the dynamics of teaching and learning. However, this technological revolution poses significant challenges in social, economic, ethical, and legal terms, which demand reflection and discussion at a global level. The influence of AI in higher education in Ecuador has generated considerable transformation by improving the accessibility and personalization of learning. The automation of administrative tasks and the implementation of AI based recommendation systems have optimized academic efficiency. The introduction of novel assessment methods, such as automatic correction, has streamlined feedback. Despite these benefits, the implementation of AI presents challenges, such as the need for teacher training and ensuring equity in access. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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    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)
    Evelyn Cuesta-Andaluz
    ;
    Rodrigo Moreta-Herrera
    ;
    ;
    Marco Pino-Falconí
    ;
    Esteban Moreno-Montero
    Introduction: School bullying has sparked considerable research interest, leading to the development of specific measures aimed at assessing both traditional bullying and cyberbullying (CB). Objective: To identify evidence of validity for the European Bullying Intervention Project Questionnaire (EBIPQ) and the European Cyberbullying Intervention Project Questionnaire (ECIPQ) in a sample of Ecuadorian adolescents. Method: A cross-sectional descriptive and psychometric study analyzing the construct validity, internal consistency, and convergent validity of both instruments. Sample: 341 adolescent students (56% female, 44% male), aged 14 to 19 years (M = 15.72; SD = 0.85), from different cities in Ecuador. Results: Oblique fit models with two dimensions per instrument provide the best factor representation. They also demonstrate adequate internal consistency across their dimensions and a high correlation between the two questionnaires. Conclusion: The EBIPQ and ECIPQ prove to be valid, reliable, and relevant instruments for measuring bullying and cyberbullying among adolescents in Ecuador.
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