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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)
- Learner Trajectory Network basemap
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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.
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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.
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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.
Essential links for this project.
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GitHub Repositories
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CNS Server Directories and Structure
- Data for SOW 1 project: \\smb.cns.iu.edu\projects\research\17-Boeing\
- Data for SOW 2 project: \\smb.cns.iu.edu\projects\research\18-Boeing\
- Both projects use the same project organizational structure for accessing data
- Project Administration: .\admin\
- Data processing scripts: .\scripts\
- Raw unprocessed edX course data: .\data\edx[course_ID][date]\
- edX Course State Data (course database): .\state\
- edX Event Logs: .\events\
- Processed data: .\data\sow1-PNAS-processingAnalysis\
- Processed course structure: .\course\
- Lists of student cohorts (edX IDs: .\userlists\
- Extracted student event logs: .\studentevents\
- Processed student event logs: .\studentevents_processed\
- Analysis results (aggregated data sets & visualizations): .\analysis\
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Outputs
- 18-Boeing2-AdditiveManufacturing
- CNS Restricted BOX Directories
- edX Research Documentation
- edX Research Documentation: Events in the Tracking Logs
- MITx Data Request Checklist
- edX Organization GitHub
- edx-analytics-pipeline GitHub repository
- edx-analytics-data-api GitHub repository
- edx-analytics-dashboard GitHub repository
- Common Education Data Standards (CEDS)
- Caliper Analytics
- Learning Tools Interoperability (LTI) Standard
- Unizin Common Data Model
- Unizin Community Portal
- Learning Analytics Community of Practice Archive - Presentation Archive for Unizin LA CoP. Shows scope of university development Canvas related development projects.