Student Engagement Tracking and Interpersonal Skills Development Analysis using Log Dataset

Migrating from traditional classroom learning to online platforms presents numerous challenges, particularly in determining suitable pedagogical designs for content delivery. Moodle log dataset analysis is one technique that addresses these challenges. Supported by visual analytics, this analysis helps teachers enhance educational outcomes, personalize learning experiences, and provide insights into student behavior. This study addresses one such challenge through the Research Question (RQ): "How can instructors enhance content delivery, student engagement, and analyze interpersonal skills development for skill-oriented courses?" To scientifically answer this RQ, instructors used various visual approaches aimed at improving pedagogical practices in a Design Thinking course. The study involved learners from two different cohorts, with Moodle log datasets collected to apply these visual approaches. Using the Tableau tool, diverse visualizations were developed to analyze student behavior regarding pedagogical practices in each cohort. Instructors then implemented changes in content delivery methods and pedagogical activities to improve interpersonal skills and performance. The results and discussions demonstrate that applying various visual approaches with student log data significantly aids instructors in effectively analyzing student behavior and engagement in Learning Management Systems (LMS), leading to improved student outcomes.