Effects of Learning Analytics on Students' Self-Regulated Learning in Flipped Classroom

Abstract

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.