Effects of self-regulated learning strategies on computer programming achievement in higher education

This paper aims to report and discuss the findings of a research project examining the effects of students‘ use of self-regulated learning (SRL) strategies on their computer programming achievement in higher education. In the project, data were collected from 66 undergraduate students who enrolled in a 13-week introductory computer programming course offered by a Hong Kong university during the academic year 2018/19. Participants were asked to complete the Motivated Strategies for Learning Questionnaire (MSLQ) to measure their use of SRL strategies. They were also asked to write weekly reflective journals to reflect on their learning progress and plan their future actions for improvement. Their programming achievement was assessed by individual exercises and an end-of-course examination as part of the course assessment. The project adopted a mixed method approach to data analysis. A quantitative correlational analysis on the questionnaire and assessment scores was conducted to explore the relationship between SRL strategies and programming achievement. In addition, a qualitative content analysis on the reflective journals was carried out to identify differences in programming problems and SRL strategies used to tackle the problems between high- and low-achieving students. The findings of the project indicate that higher-order cognitive strategies, metacognitive control strategies and collaborative learning strategies were positively associated with programming achievement. The findings also suggest that reflective journaling can be a good way for students to reflect on their programming performance and think about strategies for improvement. Copyright © 2019 ICEDU.