ASISTENTES DE VOZ E INTELIGENCIA ARTIFICIAL EN MOODLE: UN CAMINO HACIA UNA UNIVERSIDAD INTELIGENTE
PID2020-117111RB-I00
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Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal de I+D+i Orientado a los Retos de la Sociedad
Convocatoria Proyectos de I+D+i (Generación de Conocimiento y Retos Investigación)
Año convocatoria 2020
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020
Centro beneficiario UNIVERSIDAD DE BURGOS
Identificador persistente http://dx.doi.org/10.13039/501100011033
Resultados relacionados
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Set de datos (Dataset). 2024
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
Repositorio Institucional de la Universidad de Burgos (RIUBU)
- 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., This research was part of the project “Voice assistants and artificial intelligence in Moodle: a path to a smart university” -SmartLearnUni-. Project number: PID2020-117111RB-I00, funded by Agencia Estatal de Investigación. Ministerio de Ciencia e Innovación y Universidades. Gobierno de España.
Set de datos (Dataset). 2025
Dataset of the Project PID2020-117111RB-I00 (UBU, DATAHES and ADMIRABLE groups)
Repositorio Institucional de la Universidad de Burgos (RIUBU)
- 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"., The research work conducted within the framework of the REWIND project (PID2020-117111RB-I00), which was funded by the Ministry of Science and Innovation of the Government of Spain (Ministerio de Ciencia e Innovación del Gobierno de España), the State Research Agency (Agencia Estatal de Investigación, AEI), through the 2020 Call of " Proyectos de I+D+i - RTI Tipo B para el período 01/01/2021 28/02/2025".