http://hdl.handle.net/10498/19570 Fri, 06 Nov 2026 15:30:14 GMT 2026-11-06T15:30:14Z http://hdl.handle.net/10498/40255 Which came first: the chicken or the egg? Analysing the bidirectionality of non-academic collaborations and scientific teams productivity Frutos Belizón, Jesús de; García Carbonell, Natalia Collaboration between universities and non-academic organisations plays a vital role in addressing current societal demands. This study explored how such partnerships influence the productivity of traditional academic research by focusing on public universities and scientific teams. It examined the bidirectionality between scientific output and non-academic collaboration and the moderating effect of team knowledge diversity. Hierarchical multiple regression analysis on a sample of 277 Spanish scientific teams confirmed the bidirectional link between research productivity and non-academic collaborations—represented by an inverted U-shaped curve—and revealed a surprising negative moderating effect of team knowledge diversity. These results offer valuable insights for networks and research team management, particularly in balancing research productivity and academic engagement with society through non-academic collaborations. Thu, 22 Jan 2026 00:00:00 GMT http://hdl.handle.net/10498/40255 2026-01-22T00:00:00Z http://hdl.handle.net/10498/40203 Early Prediction of Academic Performance in a Database Course Using Moodle Interaction Logs Balderas Alberico, Antonio; Caballero Hernández, Juan Antonio; Palomo Duarte, Manuel; Muñoz Ortega, Andrés; Dodero Beardo, Juan Manuel Academic failure and high dropout rates remain persistent challenges in STEM education, particularly in core disciplines like Computer Science. Using Moodle interaction logs for a compulsory course on Database Systems (183,917 log records from 131 students), we engineered 16 behavioral features that capture engagement, regularity, resource diversity, and temporal activity patterns. Four classification models were trained and evaluated using 5-fold cross-validation and an independent test set: Support Vector Machine, Random Forest, k-Nearest Neighbors, and Logistic Regression. The best-performing models reached an AUC of up to 0.812 (Logistic Regression) and 0.809 (Random Forest) on the independent test set. Notably, Random Forest demonstrated a recall of 81.2% for at-risk students, suggesting its potential suitability as the basis for an Early Warning System (EWS). Feature importance analysis reveals that resource access, total engagement, and formative quiz interaction are the strongest predictors of the final outcome. Furthermore, activity within the first four weeks ranks among the top six predictors, providing empirical evidence that early behavioral signals carry significant predictive power. These results suggest that identification of at-risk students is highly feasible and actionable within the first month of instruction, offering a robust foundation for automated pedagogical interventions. Fri, 08 May 2026 00:00:00 GMT http://hdl.handle.net/10498/40203 2026-05-08T00:00:00Z http://hdl.handle.net/10498/39957 Personal directivo. Cuestionario integral para la evaluación de riesgos psicosociales emergentes derivados del uso de la inteligencia artificial y del proceso de digitalización, la hiperconectividad en el entorno laboral, e interés por la información. Foncubierta Rodríguez, María José; Gómez Aguilar, María de las Nieves; Barrena Martínez, Jesús; Hernández Roque, Dara; Holgado Herrero, Magdalena; Virués Vega, María del Carmen; Conesa Carril, María del Carmen Este instrumento es un cues[onario integral diseñado por el equipo de inves[gación para la evaluación mul[dimensional de los riesgos psicosociales emergentes vinculados a la digitalización, la hiperconec[vidad y la implantación de la Inteligencia Ar[ficial (IA) en el entorno laboral, orientado específicamente al personal direc[vo. El instrumento emplea un modelo híbrido de alta robustez metodológica que integra escalas de indicadores técnicos de organismos de referencia y preguntas basadas en la literatura ciennfica elaboradas por el equipo. El cues[onario se estructura en bloques específicos que abordan el uso de las TIC, la ges[ón algorítmica, la brecha digital, el cyberbullying, la desconexión digital y la transparencia informa[va, integrando además dimensiones originales de liderazgo humilde, liderazgo feliz y autopercepción de la felicidad como promotores del bienestar. Como aportación metodológica clave para este perfil direc[vo, incorpora la medición del Capital Psicológico evaluado a través de sus cuatro dimensiones fundamentales: autoeficacia, esperanza, resiliencia y op[mismo ante el entorno organizacional y tecnológico. Este documento cons[tuye un producto ciennfico vinculado a un proyecto de inves[gación financiado en el marco de las ayudas de la Universidad de Cádiz (UCA), cofinanciadas por la Unión Europea a través del Fondo Europeo de Desarrollo Regional (FEDER). Se basa en la metodología y el protocolo original desarrollados por miembros de este equipo (LAB*8_3), adaptado en esta ocasión para analizar de forma global el impacto de los procesos tecnológicos y la ges[ón estratégica en el bienestar organizacional.; This instrument is a comprehensive ques4onnaire designed by the research team for the mul4dimensional assessment of emerging psychosocial risks linked to digitaliza4on, hyperconnec4vity, and the implementa4on of Ar4ficial Intelligence (AI) in the workplace, specifically tailored for execu4ve personnel. The tool employs a highly robust hybrid methodological model that integrates scale indicators from reference organiza4ons and scien4fic literature-based items developed by the team members. The ques4onnaire is structured into specific blocks addressing ICT use, algorithmic management, the digital divide, workplace cyberbullying, digital disconnec4on, and informa4on transparency. It also incorporates original dimensions on humble leadership, happy leadership, and self-perceived happiness as drivers of well-being. As a key methodological contribu4on for this management profile, it integrates the measurement of Psychological Capital evaluated through its four core dimensions: self-efficacy, hope, resilience, and op4mism in the face of the organiza4onal and technological environment. This document is a scien4fic output linked to a research project funded under the University of Cádiz (UCA) grants, co-funded by the European Union through the European Regional Development Fund (ERDF/FEDER). It is based on the original protocol developed by members of this team (LAB*8_3), adapted to globally analyze the impact of technological processes and execu4ve management on organiza4onal well-being. It is based on the methodology and original protocol developed by members of this team (LAB*8_3), adapted here to globally analyze the impact of technological processes and executive management on organiza4onal well-being. Cuestionario integral de evaluación de riesgos psicosociales emergente por IA y digitalización para personal directivo (Proyecto UCA-FEDER). Wed, 01 Jul 2026 00:00:00 GMT http://hdl.handle.net/10498/39957 2026-07-01T00:00:00Z http://hdl.handle.net/10498/39956 Cuestionario integral para la evaluación de riesgos psicosociales emergentes derivados del uso de la inteligencia artificial, del proceso de digitalización y la hiperconectividad en el entorno laboral, e interés por la información Foncubierta Rodríguez, María José; Gómez Aguilar, María de las Nieves; Barrena Martínez, Jesús; Perea Vicente, José Luis; Poza Méndez, Miriam; Holgado Herrero, Magdalena; Conesa Carril, María del Carmen Este instrumento es un cuestionario integral diseñado por el citado equipo de investigación para la evaluación multidimensional de los riesgos psicosociales emergentes vinculados a la digitalización, la hiperconectividad y la implantación de la Inteligencia Artificial (IA) en el entorno laboral. El instrumento emplea un modelo híbrido de alta robustez metodológica que integra escalas internacionales validadas —como el modelo de Tecnoestrés de Salanova et al. (WONT/NTP 730) y el ECIPQ para ciberacoso— con indicadores técnicos de organismos de referencia como EU-OSHA, ISTAS-21 y Eurobarometer; y preguntas de elaboración propia por parte de los integrantes del equipo, basadas en la literatura científica. El cuestionario se estructura en bloques específicos que abordan el uso de las TIC, la gestión algorítmica y la “eficiencia algorítmica”, la brecha digital, el cyberbullying, la desconexión digital y la transparencia informativa, integrando además dimensiones originales de liderazgo humilde, liderazgo feliz y autopercepción de la felicidad, como tipos de liderazgos que propician el bienestar en el contexto laboral. Este documento constituye una adaptación específica para el proyecto PID2024-161526OB-I00, financiado por el Ministerio de Ciencia, Innovación y Universidades y la Agencia Estatal de Investigación (AEI), y cofinanciado por la Unión Europea a través del Fondo Europeo de Desarrollo Regional (FEDER). Se basa en el protocolo original elaborado por miembros de este equipo (LAB*8_3), autorizado por el Comité de Ética de la Universidad de Cádiz (CEENB-OMGs 057_2025 R2) para el ámbito universitario-y aplicado en la comunidad de trabajadores de la Universidad de Cádiz- habiéndose extendido su alcance a trabajadores de todos los sectores económicos para analizar de forma global el impacto de los procesos tecnológicos en el bienestar laboral. This instrument is a comprehensive questionnaire designed by the aforementioned research team for the multidimensional assessment of emerging psychosocial risks linked to digitalization, hyperconnectivity, and the implementation of Artificial Intelligence (AI) in the workplace. The tool employs a highly robust hybrid methodological model that integrates validated international scales—such as the Technostress model by Salanova et al. (WONT/NTP 730) and the ECIPQ for cyberbullying—with technical indicators from reference organizations including EU-OSHA, ISTAS-21, and Eurobarometer, as well as original items developed by the team members based on scientific literature. The questionnaire is structured into specific blocks addressing ICT use, algorithmic management and "algorithmic efficiency," the digital divide, workplace cyberbullying, digital disconnection, and information transparency. It also incorporates original dimensions on humble leadership, happy leadership, and self-perceived happiness as types of leadership that foster well-being in the workplace context. This document is a specific adaptation for the project PID2024-161526OB-I00, funded by the Spanish Ministry of Science, Innovation and Universities and the State Research Agency (AEI), and co-funded by the European Union through the European Regional Development Fund (ERDF/FEDER). It is based on the original protocol developed by members of this team (LAB*8_3), authorized by the Ethics Committee of the University of Cádiz (CEENB-OMGs 057_2025 R2) for the university environment—and applied to the workforce of the University of Cádiz—having extended its scope to workers across all economic sectors to globally analyze the impact of technological processes on occupational well-being. Wed, 01 Jul 2026 00:00:00 GMT http://hdl.handle.net/10498/39956 2026-07-01T00:00:00Z