1 / 15

On-the-spot student performance analysis through visualization

Wissam Nahas, eLearning Manager at American University of Beirut, presents a system to track student weekly performance, provide immediate feedback, and aid non-performing students through visualization of Moodle course data for enhanced learning outcomes and instructor insights. ###

tklein
Download Presentation

On-the-spot student performance analysis through visualization

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

  2. 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

  3. 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, ...

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

  5. Work Flow

  6. 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

  7. 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

  8. 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.

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

  10. Advantages • Flexible • Free • Easy access • User - friendly

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

  12. Live Demo

  13. 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

  14. Thank You!

More Related