The Role of Digital Learning Platforms in Improving Student Participation and Learning Outcomes
Keywords:
Digital Learning Platforms, Student Participation, Learning OutcomesAbstract
The integration of digital technology into higher education has created new opportunities for improving students' participation and academic achievement. This study examines the role of digital learning platforms in supporting student participation and learning outcomes in higher education. A quantitative correlational research design was employed to examine the relationships between digital learning platforms, student participation, and learning outcomes. The study involved 120 undergraduate students who had experience using digital learning platforms in their academic activities. Data were collected using a structured questionnaire measuring students' experiences with digital learning platforms and their participation in learning activities, while learning outcomes were represented by academic achievement scores. The data were analyzed using descriptive statistics, Pearson correlation, and simple linear regression. The illustrative findings indicated a significant positive relationship between digital learning platforms and student participation (r = 0.642, p < 0.001). Regression analysis further showed that digital learning platforms significantly predicted student participation (β = 0.642, p < 0.001), explaining 41.2% of its variance. Digital learning platforms also demonstrated a significant positive relationship with learning outcomes (r = 0.518, p < 0.001) and significantly predicted academic achievement (β = 0.518, p < 0.001), accounting for 26.8% of the variance in learning outcomes. Student participation was also significantly associated with learning outcomes (r = 0.476, p < 0.001). The findings suggest that digital learning platforms can support active participation and academic achievement when integrated with meaningful instructional activities, lecturer support, and appropriate digital learning strategies. However, the correlational design limits causal interpretation.