jisc learning analytics july-overview
TRANSCRIPT
Paul Bailey, Senior Codesign Manager, Research and Development
Jisc learning analytics service
http://www.slideshare.net/paul.bailey/
Effective Learning Analytics Challenge
Learning Analytics Service
Rationale
»Organisations wanted help to get started and have access to standard
tools and technologies to monitor and intervene
Priorities identified
»Code of Practice on legal and ethical issues
»Develop basic learning analytics service with app for students
»Provide a network to share knowledge and experience
Timescale
»2015-16—test and develop the tools and metrics
»2016-17—transition to service (freemium)
»Sep 2017—launch, measure impact: retention and achievement
Analytics categories by intervention
Learning Analytics Service
Improve individual student performance - interventions aimed directly at learners
Improve teaching and learning quality - interventions aimed at curriculum design
Improve support systems and process - interventions aimed at support staff and the process around support staff and students.
Develop strategy - interventions required to improve the performance of the institution
AI and analytics
Learning Analytics Service
Jisc’s Learning Analytics Project
Three core strands:
Learning Analytics Service
Toolkit Community
Jisc Learning Analytics
Learning Analytics Service
Community: Project Blog, mailing list and network events
Blog: http://analytics.jiscinvolve.org
Mailing: [email protected]
Learning Analytics Service
Toolkit: Code of Practice
Learning Analytics Service
Code of Practicehttp://www.jisc.ac.uk/guides/code-of-practice-for-learning-analytics
Literature Reviewhttp://repository.jisc.ac.uk/5661/1/Learning_Analytics_A-_Literature_Review.pdf
Template Learning Analytics Policyhttps://analytics.jiscinvolve.org/wp/2016/11/29/developing-an-institutional-learning-analytics-policy/
Guidance on consent for learning analyticshttps://analytics.jiscinvolve.org/wp/2017/02/16/consent-for-learning-analytics-some-practical-guidance-for-institutions/
On-boarding Process
Stage 1: Orientation
Stage 2: Discovery
Stage 3: Culture and Organisation Setup
Stage 4: Data Integration
Stage 5: Implementation Planning
Learning Analytics Service
https://analytics.jiscinvolve.org/wp/on-boarding/
Learning Analytics Service Architecture
Learning Analytics Service
Learning Analytics Service
Simplified Architecture
Data Explorer Visualisation Tools
Activity data (VLE, Attendance)
Dashboards
Dashboards for different users of the analytics
Administrators to see over all activity
Course tutors to view and compare students
Student view to see engagement activity
Based on either commercial tools from Tribal(Student Insight) or open source tools from Unicon/Marist or other providers of learning analytics products
Learning Analytics Service
Learning Analytics Service
Learning Analytics Service
Learning Analytics Service
Learning Analytics Service
Learning Analytics Service
Learning Analytics Service
Learning Analytics Service
Learning Analytics Service
Alert and Intervention System
Tools 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)
Learning Analytics Service
Learning Analytics Service
Learning Analytics Service
Data collection
About the student Activity data
TinCan(xAPI)ETL
Contacts
Paul Bailey [email protected]
Further Information: http://www.analytics.jiscinvolve.org
Join: [email protected]
Learning Analytics Service