Introduction to Jisc's Learning Analytics project - Sept 2015
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Overview Sept 2015 Jisc Learning Analytics
Transcript of Introduction to Jisc's Learning Analytics project - Sept 2015
OverviewSept 2015 Jisc Learning Analytics
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About Learning Analytics…
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What do we mean by Learning Analytics?The application of big data techniques such as machine based learning and data mining to help learners and institutions meet their goals:For our project: » Improve retention (current project)» Improve achievement (current project)» Improve employability (current project)»Personalised learning (future project)
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Jisc’s Learning Analytics ProjectThree core strands:
Learning Analytics Service
Toolkit Community
Jisc Learning Analytics
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Jisc’s Learning Analytics Service Walkthrough
Learning Analytics Service
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Our project partners
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A user perspective…
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DashboardsVisual tools to allow lecturers, module leaders, senior staff and support staff to view: » Student engagement» Cohort comparisons» etc…
Based on either commercial tools from Tribal (Student Insight) or open source tools from Unicon/Marist (OpenDashBoard)
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First version will include: »Overall engagement»Comparisons»Self declared data»Consent management
Bespoke development by Therapy Box
Student App
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Alert and Intervention SystemTools to allow management of interactions with students once risk has been identified:
» Case management» Intervention management» Data fed back into model» etc…
Based on open source tools from Unicon/Marist (Student Success Plan)
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How’s the data collected?
Title of presentation 00/00/2013 16
About the student Activity data
TinCan (xAPI)ETL
Data collection
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About the student data
Personal (demographic) dataBirthdate, gender etc.
Course data mode of study, level etc.
Grade dataAssignment, module etc.
(aligned with HESA data)
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Activity data via Tin Can API• People learn from interactions with
other people, content, and beyond. • These actions can happen anywhere
and signal an event where learning could occur.
• When an activity needs to be recorded, the application sends secure statements in the form of “Actor, verb, object” or “I did this” to the Learning Record Store (LRS.)
from: http://tincanapi.com/
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Activity Data (trivial!) examples
Actor Action Object
ResultMichael Accessed VLE
Sally Completed Basic Maths Test
85.0
Kim Module Comment
Added
https://registry.tincanapi.com
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‘Recipes’ are key• ‘Recipes’ are a shared way of
describing activities.. • So the data from ‘accessing a
course’ is the same whether Moodle or Blackboard is used.
• The same holds for..• ‘Attend a lecture’• ‘Borrow a book’• …
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Jisc Learning Analytics Toolkit
Toolkit
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Discovery …The learning analytics discovery service is a way of investigating your institution’s readiness for learning analytics. The process will investigate strategic, technical, process and data readiness, providing recommendations for action before moving on to deploy a learning analytics solution.
http://www.jisc.ac.uk/guides/code-of-practice-for-learning-analytics
Code of Practice
Deeper Dive
http://repository.jisc.ac.uk/5661/1/Learning_Analytics_A-_Literature_Review.pdf
Literature review – basis for the code of practice
Code of Practice
Privacy
Validity
Responsibility
AccessEnabling positive
interventions
Minimising adverse impacts
Transparency and consent
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Community
Community
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Project Blog, mailing list and network eventsBlog: http://analytics.jiscinvolve.org
Courses: http://courses.alpha.jisc.ac.uk
Mailing: [email protected]:
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Project plan…
Toolkit
Timeline30
Jun 15
Sep 15
Jan 16 Apr 16
3. Trial Integration
pt1 x 2
1. Jisc complete contracts
2. Jisc Sandbox
4. Phase 1 Discovery
5. Phase 1 implementati
onx 6
8. Phase 2 implementatio
n x 6 - 12
6. Trial Integration
pt2 x 2
7. Phase 2 Discovery x
6-12
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Jisc/Unicon Discovery
Jisc Learning Analytics
Implementation
Wish to explore readiness and products
Know you are ready and what you want
Want to get involved in tech work first
Blackboard Discovery
Unicon/Marist pre-
implementationTribal pre-
implementation
Other pre-implementation
Blackboard Trial
Moodle Trial
Other Learning Analytics
Implementation
Tech Trials Discovery Pre-implementation
Implementation
One CastleparkTower HillBristolBS2 0JAT 020 3697 5800
Michael WebbDirector of Technology and Analytics
