nilichen/ctlt_mooc_analysis

Work summary

• Course metrics dashboard:

  • Develop metrics and visualizations to present and compare
    • course structure,
    • enrollment and retention,
    • students’ engagement and learning pattern etc. for edX instructors and administrators
  • Streamline and automate the process of data import, data munging and visualization in creating dashboards for various courses

• Customized reports:

  • Automated
    • Daily reports for enrollment, unenrollment and verification
    • Weekly reports for students’ activity: nactive, nvideo_views, nproblem_attempts, nforum_posts
    • Weekly report for up-to-date # of registration, verification and revenue
  • Mobile analysis:
    • % light mobileApp/mobile users and % frequent mobileApp/mobile users by course, age, country and learner type
  • List of email addresses for all the students enrolled in UBC edX

• Research analysis:

  • Forum analysis: Analyze and compare students’ participation in the forum for 3 iterations of Climate after changing the way TAs are involved in the discussion
  • Map assignments – before and after analysis:
    • After assigning students into regional and global for map assignment, analyze and compare students’ engagement before and after finishing the first map assignment.
  • Survey analysis (currently excluded from course metrics dashboard due to lack of data for all the courses):
    • main reasons taking the course
    • if goals are met
    • which components are satisfied
    • likely to recommend

• Data export and preparation for instructors: 10%

  • PHYS100-98a and UseGen: PI data export and analysis
  • PSYC101: Data export and mapping
  • Phot1x and CPSC110: Forum data
  • CPSC210: Problems attempts for each student

• edx2bigquery:

  • Maintain the pipeline transforming and converting unstructured data from edX to structured data in Google Bigquery

• A4L:

  • Data validation and verification
  • Create baseline reports for evaluation of A4L