Post on 15-Jan-2017
transcript
OverviewJisc Learning Analytics
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Agenda• Overview of the Learning
Analytics Project Paul Bailey, Project Manager Jisc and Niall Sclater, Senior Consultant, learning analytics
• An overview of the architecture Michael Webb, Director of Technology and Analytics
• Break (14:30)• Data structures: an overview of
the xAPI recipes and the Universal Data Definition
Michael Webb, Wilbert Kraan CetisRob Jones, Consultant
• How your company can be involved
Michael Webb
• Finish (16:00)
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About Learning Analytics…
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Effective Learning Analytics ChallengeRationaleUniversities and colleges don't have enough useful data about students and how they are learning. What they have they don’t analyse and interpret. They are missing opportunities to use technology to provide feedback to students. They need to support staff who could be using analytics and a standard set of tools and technologies to monitor and intervene. Who it affects and howStudents are missing out on the possibility of an improved experience, better retention, and better achievement.Staff are missing the opportunity to develop skills to use analytics to improve support, teaching and curriculum design.TimescalePilot tools and metrics 1-2 yearsImpact on retention, achievement and progression 3-4 years.
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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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About Learning Analytics…Products and Solutions
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Jisc’s Learning Analytics ProjectThree core strands:
Learning Analytics Service
Toolkit Community
Jisc Learning Analytics
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Learning Analytics Service
Toolkit Community
Learning Records Warehouse and Data Integration
Code of Practice Legal and Ethical Issues
Email list (over 350 members)
Learning Analytics Processor and Dashboards
Discovery Institutional Readiness
Blog Site
Alert and intervention management tool
Data definitions and xAPI recipes
Network Meetings
Student Learning Analytics App and Consent Service
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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.
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Jisc Learning Analytics
Implementation
Wish to explore readiness and products
Know want to implement Jisc architecture
Institutional Readiness
Pre-implementation
Other pre-implementation
Other Learning Analytics
Implementation
Discovery Pre-implementation
Implementation
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Jisc Project in numbersExpressions of interested: 80Engaged in activity: 35Discovery to Sept 16: agreed (26), completed (14), reported (8)Learning Analytics Pre-Implementation: (12)Learning Analytics Implementation: (7)
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Timeline
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Phase 1&2Sep 15 – Apr 16
Phase 2&3 Jan – Sept
16
Transition to Service
Sept 16 – July 17
Jisc Learning Analytics
Service Sept 2017
14
Example HE Activity
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Profile Aim Activity Data Sources
Russell Group Retention of widening participation + support for students to achieve 2.1 or better
Discovery + Tribal Insight + Learning Locker
Moodle + Student Records
Research led University
Retention, improve teaching, empowering students
Discovery + OpenSource Suite + Student App
Moodle + Attendance+ Student Records
Teaching led University with WP mission
Retention - requirement to make identifying students more efficient so they can focus on interventions
Tribal Insight + Learning Locker
Blackboard + Attendance + Student Records
Research led University
Student engagement Discovery + Student app + Learning Locker
Moodle + Student Records
Teaching Lead Understanding of how Learning Analytics can be used
Discovery + Technical Integration
Moodle
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Community
Community
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Project Blog, mailing list and network eventsBlog: http://analytics.jiscinvolve.org
Mailing: analytics@jiscmail.ac.uk
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Jisc Learning Analytics Toolkit
Toolkit
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http://www.jisc.ac.uk/guides/code-of-practice-for-learning-analytics
Code of Practice
Group Name QuestionMain type
Importance Responsibility
2 Consent Adverse impact of opting out on individual
If a student is allowed to opt out of data collection and analysis could this have a negative impact on their academic progress?
Ethical 1 Analytics Committee
7 Action Conflict with study goals
What should a student do if the suggestions are in conflict with their study goals?
Ethical 3 Student
8 Adverse impact
Oversimplification How can institutions avoid overly simplistic metrics and decision making which ignore personal circumstances?
Ethical 1 Educational researcher
86 issues in 9 groups
Available from Effective learning analytics blog: analytics.jiscinvolve.org
Group Name QuestionMain type
Importance Responsibility
2 Consent Adverse impact of opting out on individual
If a student is allowed to opt out of data collection and analysis could this have a negative impact on their academic progress?
Ethical 1 Analytics Committee
7 Action Conflict with study goals
What should a student do if the suggestions are in conflict with their study goals?
Ethical 3 Student
8 Adverse impact
Oversimplification How can institutions avoid overly simplistic metrics and decision making which ignore personal circumstances?
Ethical 1 Educational researcher
86 issues
jisc.ac.uk/guides/code-of-practice-for-learning-analytics
jisc.ac.uk/guides/code-of-practice-for-learning-analytics
jisc.ac.uk/guides/code-of-practice-for-learning-analytics
jisc.ac.uk/guides/code-of-practice-for-learning-analytics
Comparative – social – gameified – private by default – usable standalone - uncluttered