Cognitive Demands and Course Pedagogical Design: Understanding Success in Online Learning Environments

Abstract

The COVID-19 pandemic catalyzed a global shift to online learning, highlighting both the challenges and opportunities of this mode of education. Despite extensive research on student performance in online courses, there remains a lack of focus on the pedagogical characteristics that influence educational outcomes. This study investigates the relationship between the pedagogical design of online courses and academic performance in higher education, with particular emphasis on Universal Design for Learning (UDL) principles and cognitive complexity levels defined by Bloom's taxonomy. Data were collected from 661 students across 22 online courses, analyzing demographic variables, pedagogical features, and students’ interaction patterns on course platforms. Multiple regression models revealed that both demographic and pedagogical characteristics significantly predict online course grades, while student interaction patterns did not. Additionally, tasks requiring higher-order thinking skills were associated with lower grades, emphasizing the need for carefully scaffolded support in online environments. The study also found that UDL attributes were particularly beneficial for low-performing students but less impactful—and occasionally counterproductive—for higher-performing students. These findings underscore the importance of tailoring online course design to diverse learner needs and suggest a balance between accessibility and cognitive complexity. This research provides actionable insights for improving online learning environments and advancing evidence-based educational practices.