Effects of Learning Analytics on Students' Self-Regulated Learning in Flipped Classroom
The present article is aimed at analyzing the effects of learning analytics on students' self-regulated learning in a flipped classroom. An experiment was conducted with 96 engineering students, enrolled in a subject offered in the Flipped Classroom model. The students were divided into two groups: an experimental group (N = 51) and a control group (N = 45). After each learning unit, while the control group did not have access to any learning analytics resources, students from the experimental group received a bulletin with feedback to support Self-Regulated Learning. The levels of student self-regulation were measured through questionnaires at the beginning and the end of the course. The analysis of the collected data revealed that the bulletin promoted significant effects in self-regulated learning in the experimental group, stimulating the self-reflection and colleague's support search for clarifying doubts. These results demonstrate that learning analytics can be used to promote self-regulated learning in flipped classrooms, helping students identify strategies that can increase their academic performance.
Year of publication: |
2018
|
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Authors: | Silva, João Carlos Sedraz ; Zambom, Erik ; Rodrigues, Rodrigo Lins ; Ramos, Jorge Luis Cavalcanti ; de Souza, Fernando da Fonseca |
Published in: |
International Journal of Information and Communication Technology Education (IJICTE). - IGI Global, ISSN 1550-1337, ZDB-ID 2399994-9. - Vol. 14.2018, 3 (01.07.), p. 91-107
|
Publisher: |
IGI Global |
Subject: | Active Learning | Blended Learning | Flipped Classroom | Higher Education | Learning Analytics | Learning Strategy | Learning Systems | Self-Regulation | Students | Teaching |
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