Learning analytics
This collection of articles focuses on micro-level learning analytics (analytics that are delivered directly to teachers and students in the form of reports, tools or dashboards), including:
- the variety of data sources available to teaching staff within a subject Moodle site,
- student-facing learning analytics and how they can be used by students to promote self-direction and motivation
- visualisations and reports that can provide feedback on student interaction with the site’s activities and resources
- possible actions that can be taken by teaching staff based on the data, including student outreach and subject site design revisions.
Note: It is important to remember that learning analytics data sources measure student interactions with a subject site’s activities and resources. Interactions do not necessarily equate to student cognitive engagement and comprehension. Data on interactions with activities and resources cannot give a complete picture of an individual student’s learning. Personal circumstances, technological factors, and the pedagogical context need to be taken into account when interpreting the data and deciding the actions to take based on insights generated through learning analytics.
