Moodle and analytics present and future tl forum
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Transcript of Moodle and analytics present and future tl forum
![Page 1: Moodle and analytics present and future tl forum](https://reader033.fdocuments.us/reader033/viewer/2022060115/557bf77dd8b42a72228b4981/html5/thumbnails/1.jpg)
Moodle and Analytics
Past, present and future
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So many users… So much data! But where are the analytics?
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What is it that we actually
mean when we say
‘analytics’?
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Wikipedia has a nice definition:
"exploring the unique types of data that come
from educational settings, and using those methods to better understand students"
- Wikipedia entry for Educational Data Mining
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Or another way to look at it...
Looking at behaviours in the
past
In order to predict the future.
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Such a broad definition...
Right now: we’re less interested in telling
people what learning analytics are...
...more interested in understanding some of the dimensions which make up people's
perceptions.
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Learning analytics: Dimensions
The level of automation
The consumer
The target
The scope
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1. Level of automation
Manual inference
Raw data shown, users draw their own conclusions.
Automated inference
System uses predefined rules to predict behaviour.
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2. The consumer
Personal
Student
Academic
Organisation
System
Systemic
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3. The target
Personal
Student
Unit
Faculty
Organisation
Systemic
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4. The scope
Isolated Data sourced solely
from within the LMS.
Integrated Data extracted from
the LMS and combined with other
sources.
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Which data drive Moodle's analytics?
Moodle logs:
Capture in real time most actions a user performs within the system.
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Question: can we draw
more sophisticated
inferences?
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Extension Example:
Engagement Analytics
Courtesy of a joint project between Phillip Dawson of Monash University
and NetSpot, supported by the NetSpot Innovation Fund.
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Engagement 'trigger' settings
Set with 'sensible' defaults, but can be modified at the course level.
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Engagement Block
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Engagement report
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Dimensions for these analytics?
Automation: Mostly no,
a little yes.
Consumer: Mainly
Lecturer focused.
Target: Subject focused.
Scope: Isolated.
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Where to from here?
A few paths of attack:
1. More Moodle plugins
2. Third-party tools with integration points
3. Integrated Data Stores
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Moodle plugins
1. Moodle Progress Bar
2. Configurable reports
3. Analytics & Recommendations block
4. Totara reports (under investigation)
5. Course Dedication block
6. Probably others...
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Dimensions for these analytics?
Automation: A mixture
of both.
Consumer: Mainly
Lecturer focused.
Target: Subject or
individual focused.
Scope: Isolated.
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Third-party products
1. Blackboard Analytics
2. Starfish EARLY ALERT
3. Probably others...
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Dimensions for these analytics?
Automation: Mostly
automated.
Consumer: More
focused at decision-
makers.
Target: Various.
Scope: Integrated.
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Integrated Data Stores
Moodle
SIS
Lecture Capture
Virtual Rooms
Library System
e- Portfolio
Data Warehouse +
Analytics
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Data Warehouses:
Probably the right way of doing learning analytics 'properly'...
... and also the hardest.
Numerous NetSpot clients already undertaking DW projects with data sourced from Moodle.
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Dimensions for these analytics?
Automation: Various.
Consumer: More
focused at decision-
makers.
Target: Various.
Scope: Integrated.
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Challenges for analytics:
Where do we focus our efforts in 2013?
Small, simple, isolated plugins?
A larger, cross-platform framework?
Relationship with groups like http://www.solaresearch.org/ ?
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Thanks!