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: analytics@jiscmail.com:

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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

michael.webb@jisc.ac.uk

One CastleparkTower HillBristolBS2 0JAT 020 3697 5800

info@jisc.ac.ukjisc.ac.uk

Michael WebbDirector of Technology and Analytics