jisc learning analytics july-overview

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: analytics@jiscmail.ac.uk

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 paul.bailey@jisc.ac.uk

Further Information: http://www.analytics.jiscinvolve.org

Join: analytics@jiscmail.ac.uk

Learning Analytics Service