Skip to content
Michael Ginda edited this page May 30, 2018 · 2 revisions

Learning Trajectories visualization wiki

Status: Active

Goals (ordered by priority)

  1. Implement learner trajectory dashboard - production level visualization and layouts; includes main visualization (a), and supplementary visualizations of student performance/proficiency data (b)

    • Learner Trajectory Network basemap
      • Linear network layout (highest priority) - visualize individual students interactions and transitions between course modules;
      • Temporal-coordinate layout (stretch) - visualize student with additional temporal dimension; comparison of multiple students.
      • Force atlas layout
    • Supplementary student/cohort visualizations
      • Learner Performance and Participation Heatmap
      • Statistical visualizations of student activity and time (individual to group comparison) (e.g. box-plots)
      • Track proficiency trajectory across assessment instruments (e.g. line graphs)
      • Visualization of cohort activities (e.g. scatter plots)
  2. Create an dynamic learner trajectory network - A network visualization of individual student's interactions with and transitions between course modules, which allows a user to explore data and animate a student's activity in LMS over time.

  3. Evolving Architecture - visualization architecture should evolve to add new production visualizations as research questions and/or data sets emerge;

    • Works with existing e-learning technology standards - LTI and Caliper standards (see documentation links)
    • Supplementary data sets on module learning objective and cognitive load.
  4. Provide tools for data extractions - data filters parameters should create subsets of data for a student that may be extracted for re-use in analysis or learning model.

Links

Essential links for this project.

BOX Directories

LMS Documentation, Data Standards, and Related Work

edX Research Documentation and GitHub Repositories

Canvas LMS GitHub Repository

Relevant e-Learning Standards

Unizin - A consortium of universities that use Canvas and develop data warehouse and ecosystem

Learning Analytics Dashboards