Impact of Gamified Learning on Computer Programming Skills Development Among High School Students

Thesis Abstract

The rapid advancement of technology and the increasing demand for computer literacy among high school students underscore the importance of effective computer programming instruction, which remains a challenge in traditional classroom settings due to student disengagement and limited practical exposure. This study investigates the impact of gamified learning approaches on the development of computer programming skills among high school students, aiming to provide evidence-based insights into innovative pedagogical strategies that enhance programming competencies. The primary objectives include evaluating the effectiveness of gamified learning interventions on students’ programming knowledge, coding proficiency, engagement levels, and problem-solving skills; identifying the motivational and cognitive factors influencing students' performance; and comparing the outcomes of gamified versus traditional instructional methods. The research adopts a quasi-experimental design with a mixed-methods approach, integrating quantitative and qualitative data collection. The study population comprises 200 high school students enrolled in introductory programming courses across four public schools in the metropolitan region. A stratified random sampling technique ensures a representative sample of 100 students assigned to the experimental group, experiencing gamified learning modules, and 100 students in the control group receiving conventional instruction. Data collection instruments include standardized programming tests, engagement questionnaires based on the Self-Determination Theory, focus group discussions, and classroom observation checklists. The programming tests, developed and validated through expert review and pilot testing, assess coding skills in Java, while engagement questionnaires measure intrinsic motivation, perceived competence, and autonomy. Triangulation of data enhances validity and reliability, with Cronbach’s alpha coefficients exceeding 0.80. Data analysis employs descriptive statistics to characterize demographic variables and baseline equivalence, followed by inferential techniques such as independent samples t-tests to compare pre- and post-intervention scores, and multivariate analysis of covariance (MANCOVA) to control for potential confounders. Regression analysis examines the predictive power of motivational factors on programming skill acquisition. Qualitative data from focus groups are analyzed thematically aligned with the Self-Determination Theory and Constructivist Learning Theory, providing contextual insights into students' learning experiences. Expected findings suggest that students exposed to gamified learning interventions will demonstrate statistically significant improvements in programming skills, higher engagement levels, and increased intrinsic motivation compared to their peers in traditional settings. The study anticipates identifying key motivational constructs, such as competence and autonomy, as mediators of successful skill development through gamification. Moreover, qualitative insights are expected to reveal that gamified elements, such as challenges, badges, and leaderboards, foster a deeper interest in programming and promote sustained learning behaviors. This research contributes to the existing body of knowledge by empirically substantiating the efficacy of gamification in computer science education at the high school level, offering practical insights for educators and policymakers seeking to integrate game-based strategies into curricula. It extends the theoretical understanding of motivational mechanisms underpinning skill acquisition through gamified learning, grounded in Self-Determination and Constructivist Learning Theories. The study concludes that gamified learning represents a viable pedagogical approach for enhancing programming skills among high school students, advocating for curriculum reforms that incorporate educational games and gamification techniques. Recommendations include designing contextually relevant gamified modules, providing teacher training on game-based pedagogy, and conducting longitudinal studies to assess long-term impacts on students’ interest and proficiency in computer science. Future research should explore digital gamification tools' scalability and effectiveness across diverse educational contexts and technological environments.