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Published byKatrina Little Modified over 5 years ago
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On-the-spot student performance analysis through visualization
American University of Beirut Wissam Nahas – eLearning Manager
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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
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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, ...
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Log Limitations The logs are detailed but not readable
The data is tabular It lacks visualization Visuals are expressive
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Work Flow
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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
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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
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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.
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Programming language for statistical computing and graphics
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Advantages Flexible Free Easy access User - friendly
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Instructor Point of View
Tracking progress Tracking contribution Monitoring participation Catching cheating in exams
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Live Demo
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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
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Thank You!
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