Log data and Ladderpath

This study presents an analysis of online learning behavior utilizing a comprehensive dataset derived from an online course. The dataset encompasses behavioral click data from 363 students, providing granular insights into their engagement patterns and course navigation. Additionally, it includes computed ladderpath data, offering a more nuanced understanding of students' learning trajectories. By examining both raw interaction metrics and processed indicators, this research aims to uncover meaningful patterns in online learning behaviors. The integration of click data with ladderpath analysis allows for a multifaceted exploration of student engagement, potentially informing the design of more effective online learning environments and personalized instructional strategies. This dataset serves as a valuable resource for researchers investigating online learning dynamics and educational data mining.