Vol. 1, Issue 1, Part A (2024)

As digital classrooms become integral to modern education, learning analytics (LA) emerges as a strategic enabler to refine curriculum delivery and enhance student outcomes. This paper explores how learning analytics can be used to boost curriculum effectiveness in digital environments. A mixed-methods study was conducted with 300 students and 25 instructors from Bangladeshi universities using Moodle and Google Classroom. Findings reveal that real-time analytics enable adaptive teaching, optimized content design, and early intervention for at-risk learners. Visual analysis supports that engagement levels, content formats, and early participation significantly influence academic performance and dropout risk. Policy recommendations include faculty training, ethical data frameworks, and national LMS standardization. The study concludes that LA is not merely a monitoring mechanism but a transformative tool for personalized, inclusive, and effective education.