On-the-spot student performance analysis through visualization American University of Beirut Wissam Nahas – eLearning Manager

Our Objective Help instructor and administration track student weekly performance during semesters Give immediate feedback or advising in advance Non-performant students require guidance or advising sessions in advance Feedback at the end of the semester is not effective for recovery implementation Loss of course learning outcomes

Course Logs Moodle is powerful in gathering detailed logs within a course. The logs include: time, user’s full name, affected user, event context, event name, description, IP address, ...

Log Limitations The logs are detailed but not readable The data is tabular It lacks visualization Visuals are expressive

Work Flow

Analytic Tool Feed logs extracted from Moodle into analytic tool Generate visuals Through analysis of data based on the problem tackled Charts help visualize patterns in data

Visuals Patterns can be seen in behavior, performance, access, interactions, posting, submissions, navigation, and level of engagement Visuals can be of different kinds depending on the data

Visuals Implemented Participation is based on behavior in events and navigation to different events. Contribution is based on posting to the forum and submissions of assignments and quizzes.

Programming language for statistical computing and graphics https://rstudio.cloud

Advantages Flexible Free Easy access User - friendly

Instructor Point of View Tracking progress Tracking contribution Monitoring participation Catching cheating in exams

Live Demo

What’s Next? Synchronization between Moodle and the Analytic Tool Incorporate more visuals depending on instructor need and data analysis Implement cheating detection Apply machine learning to predict student Grade

Thank You!