Improving online instruction with self-regulated learning: A case study of kinematics graph interpretation

Abstract

The objective of this study was to determine if students’ skills interpreting kinematics graphs could be improved in an online instruction environment by using the Self-Regulated Learning (SRL) framework.  The gain in skills was measured by comparing pre-test and post-test results of the objective Test for Understanding Graphs – Kinematics (TUG-K) for N=19 students.  The average score of the post-test was 62% better than the average score of the pre-test.  The difference between the two average scores was statistically significant (p < 0.05).  In addition, an opinion survey of the students – conducted before and after the SRL intervention – showed a statistically significant (p < 0.05) improvement of 15% regarding the students’ own sense of self-efficacy, and their capacity for delayed gratification (self-control).  These two intra-personal skills, in addition to metacognition, are addressed and developed by the SRL framework.  SRL also develops self-instruction skills which opens further possibilities of using class time to provide feedback and to thoroughly assess student knowledge with oral exams.  These initial results provide a positive outlook that the development of SRL skills contributes to improvements in online instruction.