https://hdl.handle.net/10259/5841 2026-10-11T11:33:24Z https://hdl.handle.net/10259/12263 Differential efficacy of imagery, virtual reality and 360° video exposure therapy in reducing test anxiety in university students: a pilot study Quevedo Bayona, Itziar; Escolar Llamazares, María del Camino; Martínez Martín, María Ángeles Introduction: Since test anxiety is a phenomenon that affects many students both academically and personally, this study presents an innovative exposure intervention based on 360° videos. Objectives: To reduce test anxiety among university students participating in a test anxiety management intervention program, to evaluate exposure therapy using 360° videos compared to other exposure therapies, and to assess participants satisfaction. Method: An applied experimental pre-post study was conducted using an inter-intra A-B design. Twenty university students participated in the study. Ten of them were randomly assigned to one of three experimental conditions; exposure with 360° videos (360), virtual reality (VR), and imagination (IM); while the remaining ten students constituted the control group. Four questionnaires were used as assessment tools to measure general state and trait anxiety (STAI), as well as state (CRAP) and trait (IAE) test anxiety. A satisfaction questionnaire was also administered. Results: A tendency of reduction in both general anxiety and test anxiety was observed in all participants. No significant differences were found between the three experimental conditions. All students reported high satisfaction scores with the intervention. Conclusions: Exposure through the three modalities appears to be both effective and well-accepted among students. 2025-01-01T00:00:00Z https://hdl.handle.net/10259/12082 Dataset of the Project _GIR DATAHES_GIR ADMIRABLE - 2 Sáiz Manzanares, María Consuelo; Toribio Casado, Celia; Pérez López de Echazarreta, Gloria; Águeda Miguel, Rocío; González Díez, Irene; Muñoz Arranz, Marina; Carbonero Martín, Miguel Ángel; Martín Antón, Luis Jorge This dataset contains the data generated during the execution of the project ““Asistentes de voz e inteligencia artificial en Moodle: un camino hacia una universidad inteligente” -SmartLearnUni-”, code PID2020-117111RB-I00, corresponding to the 2021 Call of “Convocatoria 2020 Proyectos de I+D+i - RTI Tipo B. Ministerio de Ciencia e Innovación y Universidades. Agencia Estatal de Investigación. Gobierno de España para el período 2021-2024" 2026-08-14T00:00:00Z https://hdl.handle.net/10259/12074 Multichannel assessment of cognitive load and emotions with pedagogical avatars in higher education Sáiz Manzanares, María Consuelo; Toribio Casado, Celia; Pérez López de Echazarreta, Gloria; Águeda Miguel, Rocío; González Díez, Irene; Muñoz Arranz, Marina; Carbonero Martín, Miguel Ángel; Martín Antón, Luis Jorge Integrating multimodal devices (eye tracking, electroencephalography [EEG], and galvanic skin response [GSR]) enables the objective assessment of cognitive and emotional processes during controlled tasks. In higher education multimedia contexts, such measures can inform the adaptive design of educational interfaces. This study examined the processing of avatar images expressing positive (surprise, joy) and negative (sadness, fear) emotions across different user groups (final-year university students, novice university lecturers, and experienced university lecturers), while also considering gender effects. Forty-eight participants completed a visualisation task while physiological indicators derived from EEG (engagement, memorisation, valence, workload), GSR (impact), and eye tracking (number of visits and dwell time) were recorded for relevant and non-relevant areas of interest. Significant differences emerged for surprise, with students showing more visits to non-relevant areas than lecturers members. For joy, final-year university students exhibited longer dwell times on relevant areas than experienced lecturers. No differences by professional group were found for sadness or fear. Regarding gender, women showed higher valence and workload in the joy condition, as well as higher memorisation and longer dwell times in the sadness condition. Based on these findings, adaptive adjustments to avatar design are proposed to better align with users’ cognitive and emotional profiles. 2026-07-01T00:00:00Z https://hdl.handle.net/10259/12069 Dataset of the Project _GIR DATAHES_GIR ADMIRABLE Sáiz Manzanares, María Consuelo; Marticorena Sánchez, Raúl; Rodríguez Diez, Juan José; Diez Pastor, José Francisco; Ji, Yi Peng; Rodríguez Arribas, Sandra This dataset contains the data generated during the execution of the project “E-ORIENTACIÓN EN MOODLE: DETECCIÓN Y E-ORIENTACIÓN EN MOODLE: DETECCIÓN Y SEGUIMIENTO DEL ALUMNO EN RIESGO EN LA UNIVERSIDAD SEGUIMIENTO DEL ALUMNO EN RIESGO EN LA UNIVERSIDAD” -e-Orientation-”, code BU032G19, corresponding to the 2021 Call of “ ORDEN EDU/667/2019, de 5 de julio, por la que se resuelve la convocatoria para la concesión de subvenciones destinadas al apoyo de los grupos de investigación reconocidos de universidades públicas de Castilla y León, a iniciar en el 2019.". 2026-08-14T00:00:00Z