RT info:eu-repo/semantics/article
T1 Monitoring Metacognitive Strategies Use During Interaction Collaborative Groups
A1 Sáiz Manzanares, María Consuelo
A1 Martin, Caroline Françoise
A1 González Díez, Irene
A1 Jiménez Eguizábal, Alfredo
A1 Calvo Rodríguez, Alberto
A1 Varela Vázquez, Carmen
A1 Almeida, Leandro
A1 Velasco Saiz, Rut
K1 Metacognitive strategies
K1 Collaborative group
K1 Monitoring
K1 Higher education
K1 Educación
K1 Education
K1 Tecnología
K1 Technology
K1 Enseñanza superior
K1 Education, Higher
K1 Psicología
K1 Psychology
K1 Informática
K1 Computer science
AB This 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 the following: (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 monitoring during collaborative interaction. (3) To 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 favor of the collaborative groups of the biomedical engineering students. Also, students who participated in monitoring collaborative groups in both clusters obtained better learning outcomes. Lastly, the assignment groups were exactly related to the collaboration groups with respect to the use of metacognitive strategies in the final measurement.
PB MDPI
YR 2024
FD 2024
LK http://hdl.handle.net/10259/10272
UL http://hdl.handle.net/10259/10272
LA eng
NO 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.
DS Repositorio Institucional de la Universidad de Burgos
RD 14-mar-2025