Attendees
John Baldwin
Jill Vogel
Former user (Deleted)
Régis Behmo
Brittney Exline (Deactivated)
George Babey (Deactivated)
Brian Wilson (Deactivated)
Eugeny Kolpakov
Kshitij Sobti
Isanka Wijerathne
Jhony Avella
Dhastha Gheer
Lawrence McDaniel
Valerie Pierre
..and many more

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:

Lightweight Analytics sub-session

In this sub-section, we mostly discussed Figures, did Q/A on how it works, current development status, goals moving forward. Also briefly discussed Open edX moving forward toward decoupling the LMS front end from back end, using React for the front end.

This breakout session had a small group.

Add yourself if you want to identify you were in the sub-session:

Attendees
Valerie Pierre
John Baldwin

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 React based 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).
Target audience for figures are those looking for high level metrics on a site-wide, cross-course and per-course level, such as learning program managers and administrators. who need to make management decisions on how their courseware is doing.
Figures gets data from the Django models and provides REST API endpoints for direct model access and aggregation
Daily snapshots of the daily aggregate data, which then can get rendered via charts. Future enhancements can be customizing the time granularity (such as capturing data every N minutes).
Plan for doing a code walkthrough via hangout.
- After the conference, John Baldwin posted a Doodle poll to determine a date and time for the code walkthrough: https://doodle.com/poll/um7dz4sm5aqun9iu

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.

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