Insights & Analytics Pipeline sub-session

How does the Analytics Pipeline work?

• Discussed components.  See github.com/edx/edx-analytics-*, edx-analytics-pipeline-reference.readthedocs.io
• Discussed installation.  See github.com/open-craft/openedx-deployment

How can we make Analytics Pipeline near-realtime?

• Smaller hourly partitions for more frequent runs
• Streaming data using Apache Sparc (instead of hadoop, hive, sqoop..).  edX Analytics team are in the process of doing this right now!
• Use a lighter-weight solution if direct MySQL queries are sufficient

What reporting do we want?

• Dashboard for blended learning use case (small classes, many copies of "same" course")
  • Data per learner
  • Divide by class, subject, geographic, organisation
• Timeline to show learning rates/engagement/enrollment as course progresses
  • Tag significant events (course start/end, advertising events, assignment deadlines...)
• Survey data integration, e.g. to measure learner satisfaction

How has reporting improved?

• Problem Response reports in Instructor dashboard have been made more readable, easier to use. See:
  • edxchange.opencraft.com/t/xblock-reporting-tool
  • https://github.com/edx/edx-platform/pull/17824
  • https://github.com/edx/edx-platform/pull/18231
  • https://github.com/edx/edx-platform/pull/18244

Lightweight Analytics sub-session

Figures, lightweight analytics, what is it?

• Analytics for small sites, hosting on a single server, where Insights is out of the question. You can start with it and grow. Insights is great for course specific and can handle MOOC-size data. Figures is here to fill a gap.
• Currently only working on devstack, will soon be production ready.
• It includes a Javascript single page application and a reusable Django app (minimize modifications in the platform). Plug-in, in line with open/close principle (open for extension but close for modification - cf Nimisha).
• Analytics tool useful for data scientist, or you need to make management decisions on how your courseware is doing.
• Figures gets data from the Django models. In the future, building more end-points.
• Daily snapshots of the daily aggregate data, which then can get rendered via charts.
• Plan for doing a code walkthrough via hangout.

What other metrics would we want or not want?

• List of courses and page course which provides metrics and charts.
• We have existing metrics, what other metrics would we want or not want?
• What demographics would we pull from registration or another external source?

Deployment?

• Appsembler uses Ansible. EduNext too.
• Kyoto U: Developing a management system with dashboard around 16 courses on edx. Notifications, course invite on new course and newsletter (msnses) for marketing. Concern is around data processing.

Real-time analytics while keeping a light-weight infrastructure?

• Near-real time jobs using Celeri
• Need to be real time?
  • For the course authors, it'd be great to see progress on live assignments.
  • Marketing would also love it, in reality near-real time probably sufficient.
  • It might be useful for customer retention.

Source of persistent data

• Course enrollment
• User profile
• Nb learners’ per course
• Courses per learner
• Students module of how many active learners
• Grade percentage
• When did they do a section
• Average learner progress aggregated
• Generated certificate, how many course completion
• etc.

Multi-tenancy

• John, Jhony, Qasim are interested in working on this.

Ideas for new features?

• Which learners how they are responding, and aggregates
• Timeline to see the engagement rates, deadline for assignments
• What the learner goals are survey data in there
• Make the prob response in the instructor dashboard, improvements on data and usability.