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Graphic Visualizations of Student Performance in The Moodle Course Management System

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Graphs allow more efficient interpretation of data while providing sufficient levels of clarity ... Gigantic multidimensional arrays = Modularized code. Evaluation ... – PowerPoint PPT presentation

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Title: Graphic Visualizations of Student Performance in The Moodle Course Management System


1
Graphic Visualizations of Student Performance in
The Moodle Course Management System
  • Justin Gawrilow
  • Will Humphries
  • with help from Jim Ladd

2
Problem / Goals
  • Moodle grade data traditionally displayed in
    tables
  • Graphs allow more efficient interpretation of
    data while providing sufficient levels of clarity
  • Goal use visualizations of current grades to
    help students make decisions/assessments of their
    performance

3
Critical User Tasks
  • What did I get? determining grade
  • Scenarios used to determine critical
    decisions/tasks
  • Performance relative to other students
  • Perfect scores/missed assignments
  • Adequacy of effort thus far
  • Impact of assignments on overall grade

4
Graph Design / Evaluation
  • Survey
  • Formative evaluation
  • Different graphs have different strengths
  • This determined which graphs were included, and
    where they were located

5
Demo
6
System Design
  • PHP, MySQL, PHPLOT, GD
  • Averages Count 0s?
  • Gigantic multidimensional arrays ?
  • Modularized code

7
Evaluation
  • Quantitative Are the graphs being viewed?
    Compare students with similar overall GPAs to
    one another based on graph usage.
  • Higher graph usage ?
  • Qualitative Surveys, lab sessions
  • Are the graphs understandable? Enjoyable? Is the
    interface to access them comfortable?

8
Novel Contributions
  • Identified critical student decisions regarding
    grades, class performance
  • Developed visualizations best suited to assist
    with these decisions
  • Implemented visualizations
  • Code is modularized could be used in other
    systems, other graphs could be added

9
Future Work
  • Projection Graph
  • Configuration (0s Count)
  • Color Schemes
  • Instructor Graphs
  • More efficient data retrieval
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