The document discusses the development and enhancements in Moodle's analytics features, specifically highlighting upcoming versions 3.8 and 3.9. Key improvements include predictive models for identifying at-risk students, an AI assistant for user interaction, and enhanced reporting capabilities tailored for various users such as students, teachers, and administrators. The overall vision aims to position Moodle as a proactive educational platform that supports teaching and learning through better data insights.

1. Moodle Learning Analytics
from different perspectives
David Monllaó Olivé
Lead Data Scientist at HQ
#moothr19
@DavidMonllao

2. Analytics team in HQ
Chief Product Officer Lead Data ScientistMoodle Product Manager
Former Development Manager
Research Analyst
Analyst DeveloperSenior Analyst Developer

3. Analytics features overview
● Right now.
○ Moodle 3.7 (released in May 2019)
● In a few months’ to one year’s time
○ Moodle 3.8 (Nov 2019) or 3.9 (May 2020)
● Long-term vision

4. Analytics features overview
Available since Moodle 3.4, new improvements added in Moodle 3.7.
● Predictive models
○ Students at risk
● Insights
○ Notifications for users with suggested actions

5. Analytics features overview
In a few months’ to one year’s time (Moodle 3.8 or 3.9).
● AI Assistant
○ Conversational bot (E.g. search, navigation, how-to…)
● Extra reporting capabilities
○ Insights effectiveness
○ Custom course reports

6. Analytics long-term vision
● Make moodle more proactive
○ Improve students’ success by supporting teachers
in identifying students with difficulties.
○ Improve course contents by supporting teachers in
designing their courses.
○ Improve the way users interact with Moodle
■ AI Assistant
● Position Moodle as the de-facto educational
research platform

7. How analytics in Moodle helps
1. Students
2. Teachers
3. All Moodle users
4. Site administrators and researchers
5. Developers

8. Students

9. Upcoming activities due insight
New in Moodle 3.7

10. Upcoming activities due insight
A click on the notification forwards the user to the
list of upcoming events in the calendar.

11. Upcoming activities due insight
Full notification

12. Analytics tools for
teachers help
students indirectly

13. Teachers

14. Identification of students at risk
Available in Moodle 3.7
● At risk of not achieving the course competencies
● At risk of not meeting the course completion
conditions
● At risk of not achieving the
minimum grade to pass
● At risk of dropping out

15. Identification of students at risk
Scheduled for Moodle 3.8
● Students who have not accessed the course yet
● Students who have not accessed the course recently

16. Identification of students at risk

17. Identification of students at risk

18. All Moodle users

19. AI assistant
In a few months’ to one year’s time (Moodle 3.8 or 3.9)
● Currently gathering requirements
○ Your help is important! What would you like it to do?

20. Site administrators
and
researchers

21. Analytics models management
Available in Moodle 3.7

22. Analytics models management
● Enable / disable
● Edit
○ Indicators
○ Analysis interval (a.k.a “time-splitting method” in 3.7)
○ Machine learning backend
● Evaluate
● Export and import

23. Edit a model

24. Add a new model
New in Moodle 3.7

25. Export / import a model
New in Moodle 3.7

26. Evaluate a model
Available in Moodle 3.7

27. Upcoming courses with no teachers or
students

28. Upcoming courses with no teachers or
students

29. Upcoming courses with no teachers or
students

30. Insights effectiveness
Scheduled for Moodle 3.8

31. Developers

32. How analytics helps developers
● Moodle core provides a set of reusable elements
to create and extend predictive models.
● Documentation.
○ https://docs.moodle.org/dev/Analytics_API
● Analytics forums & resources.
○ https://moodle.org/analytics
https://github.com/php-ai/php-mlhttps://www.tensorflow.org/

33. Copyright 2019 © Moodle Pty Ltd - CC BY SA - support@moodle.com
davidm@moodle.com
@DavidMonllao