https://hdl.handle.net/10259/6391 2026-09-14T16:25:25Z 2026-09-14T16:25:25Z 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 https://hdl.handle.net/10259/12082 2026-09-12T00:05:28Z 2026-08-14T00:00:00Z

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 Sáiz Manzanares, María Consuelo Marticorena Sánchez, Raúl Rodríguez Diez, Juan José Diez Pastor, José Francisco Ji, Yi Peng Rodríguez Arribas, Sandra https://hdl.handle.net/10259/12069 2026-09-14T08:56:26Z 2026-08-14T00:00:00Z

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 Sáiz Manzanares, María Consuelo Marticorena Sánchez, Raúl Ochoa Orihuel, Javier Alonso Martínez, Laura Calvo Rodríguez, Alberto Martin, Caroline Françoise Carrillo Pérez, Celia Escolar Llamazares, María del Camino Rodríguez Arribas, Sandra Serrano Gómez, Diego Martín Antón, Luis Jorge González Díez, Irene Almeida, Leandro Carbonero Martín, Miguel Ángel Varela Vázquez, Carmen Sáez García, Javier Jiménez Eguizábal, Alfredo Velasco Saiz, Rut https://hdl.handle.net/10259/10197 2025-05-09T12:20:14Z 2025-02-06T00:00:00Z

Dataset of the Project PID2020-117111RB-I00 (UBU, DATAHES and ADMIRABLE groups) Sáiz Manzanares, María Consuelo; Marticorena Sánchez, Raúl; Ochoa Orihuel, Javier; Alonso Martínez, Laura; Calvo Rodríguez, Alberto; Martin, Caroline Françoise; Carrillo Pérez, Celia; Escolar Llamazares, María del Camino; Rodríguez Arribas, Sandra; Serrano Gómez, Diego; Martín Antón, Luis Jorge; González Díez, Irene; Almeida, Leandro; Carbonero Martín, Miguel Ángel; Varela Vázquez, Carmen; Sáez García, Javier; Jiménez Eguizábal, Alfredo; Velasco Saiz, Rut 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".

2025-02-06T00:00:00Z Sáiz Manzanares, María Consuelo Martin, Caroline Françoise González Díez, Irene Jiménez Eguizábal, Alfredo Calvo Rodríguez, Alberto Varela Vázquez, Carmen Almeida, Leandro Velasco Saiz, Rut https://hdl.handle.net/10259/9521 2025-05-12T08:17:24Z 2024-08-31T00:00:00Z

Table A1. Protocol for monitoring the use of metacognitive strategies during group collaborative interaction (POMSCI) (Sáiz-Manzanares, 2024) (teaching year first year of the COVID 19 pandemic vs. second year), covariate (type of degree) on satisfaction and learning responses into the of Journal Comunicar" ISSN:1134-3478 Sáiz Manzanares, María Consuelo; Martin, Caroline Françoise; González Díez, Irene; Jiménez Eguizábal, Alfredo; Calvo Rodríguez, Alberto; Varela Vázquez, Carmen; Almeida, Leandro; Velasco Saiz, Rut The study of the use of metacognitive strategies during learning interaction in collaborative groups is considered referential for understanding the development of such strategies. The use of metacognitive strategies is related to better learning outcomes. We monitored the interaction in five collaborative groups at three points in time (initial, intermediate and final). These groups consisted of undergraduate health science (n = 9) and biomedical engineering students (n = 10). The aims were: 1) To check whether there were significant differences in the use of metacognitive strategies between the groups of students monitored depending on the type of degree or the point in time measurement. 2) To test whether there were significant differences in students' learning outcomes depending on whether or not they had participated in the interaction moni-toring during collaborative interaction. Test clustering without a pre-assignment variable against learning outcomes in collaborative groups. Significant differences were detected in the use of some of the metacognitive strategies of orientation, planning and elaboration in favour of the col-laborative groups of Biomedical Engineering students. Also, students who participated in moni-toring collaborative group in both clusters obtained better learning outcomes. Lastly, the assign-ment groups are exactly related to the collaboration groups with respect to the use of metacogni-tive strategies in the final measurement.

2024-08-31T00:00:00Z