Examining the Relationship Between Components of the MUSIC Model of Motivation and Student Achievement in Computer Programming

Author:

Alshammari Ali

Abstract

Computer programming is often perceived as being difficult to teach and learn. Many researchers have investigated the most effective approaches to teaching computer programming, and the results of such investigations are inconsistent. Despite ongoing investigations into teaching approaches, researchers have not yet focused their studies on determining on which factors affecting student academic motivation educational researchers should focus when they implement pedagogical interventions. The research takes this inquiry forward by investigating the impact of student perceptions of the MUSIC model (i.e., empowerment, usefulness, success, interest, and caring) on learning programming, and by testing for any gender-based differences in those processes and outcomes. The participant body in this study comprised primarily of 97 ‘freshmen’ male and female computer science majors and non-majors, gathered from three 8-week long project-based programming workshops. All of the participants took a coding test and filled out the MUSIC inventory before and after the programming workshops. Although all the motivation-related components of the MUSIC model are important, this study found that students’ perceptions of usefulness, caring, and interest are significantly predictive of their learning successes. With regard to gender, the study found that there were no significant gender-based differences in their perceptions of the motivation-related components of the MUSIC model at the end of the study, while there were significant gender gaps in students’ perceptions of success and caring at the beginning of the study. Recommendations for the design and implementation of computer programming courses are provided.

Publisher

Society for Research and Knowledge Management

Subject

Education

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Striking a Chord through a Mixed-Methods Study of Music-Based Learning to Leverage Music and Creativity to Bridge the Gender Gap in Computer Science;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2;2024-03-14

2. Drone Grand Prix: Educational Robotics Competitions Using Drones with First-Person View (FPV);2023 IEEE International Conference on Engineering Veracruz (ICEV);2023-10-23

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