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Analytics could be defined by a process in which data is interpreted in a way, so to discover patterns useful to predict further trends of the data. A better definition can be found on Wikipedia as "discovery, interpretation, and communication of meaningful patterns in data; and the process of applying those patterns towards effective decision-making". So analytics embeds a wide range of processes, tools and objectives relying on the context they are thought to be used for.
In the context of teaching and learning, analytics are used to retrieve information and pattern from learners' progress for a range of different end users (teacher, staff, management...). Retrieved information will then be used to either correct detected issues in the course, the set of courses or understand and support students who are failing. In our context we are also interested in "Analysis" of the data (see "Analysis vs Analytics: past vs. Future"), so we will blur both definition under the "Analytics" terms umbrella, although some tools and processes are more in tune with the definition of the Analysis process.
What is the Open edX Analytics Working Group?
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What analytics tools are available for Open edX?
Current Analytics Tools
| Tool Name | Aims | Status | References |
|---|---|---|---|
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- https://github.com/edx/completion - A library for tracking completion of blocks by learners in edX courses.
Read the Docs
Tracking Logs
The tracking logs contain a wealth of information, but can be challenging to work (TODO: explain why)
This section is to kick off information to help work with tracking log datamain page: Event Tracking (tracking logs)
Page "TODOs"
- Identify Open edX analytics tools available to the community
- Stub out conference resources related to analytics
- Find other analytics information
- Get community feedback, get community contributions
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