Aston University has identified Learning Analytics as key to enhancing student retention, progression and engagement.

The Learning Analytics project aims to identify full-time undergraduate students who may be at risk of failure, non-progression or withdrawal at the earliest possible opportunity and before exams or assignments have been failed, to empower students to take responsibility for their achievements, and to enable individual staff to take on the role of change agents through effective, targeted, assertive interventions with students.

The project will use existing data about full-time undergraduate students’ academic progress and engagement and will present it in an accessible format that will enable students and their tutors to see how students are doing academically and whether there is any additional support tutors can put in place to help students.

The project will align with the key objectives in Aston’s Learning and Teaching Strategy and Digital Learning Strategy and other goals such as student learning gain as we build on our Gold award success in the Teaching Excellence Framework.

Project Details

A HEFCE Catalyst grant will be used to facilitate development of learning analytics until April 2018.

Aston University is working in collaboration with Jisc, Tribal, and Blackboard to build and pilot the Jisc Effective Learning Analytics architecture.

Phase 2 of the project will deliver the following milestones:

Output Start End
Policy development  Sep 17  Apr 18
Publish policy and ethics code of practice for learning analytics  Apr 18  Apr 18
Refine intervention processes  Sep 17  Apr 18
Review suitability of existing technical architecture  Sep 17  Oct 18
Future LA possibilities defined  Nov 17  Dec 17
Business case for implementation  Dec 17  Jan 18
Staff and student dashboard design and development  Jan 18  Apr 18
Data sources loaded into the LA warehouse  Jan 18  Apr 18
Staff and student dashboard pilot launch  Apr 18  Jul 18
Pilot Evaluation  Apr 18  Aug 18
Staff and student dashboard launch  Sep 18  Oct 18
Project Evaluation  Sep 18  Nov 18

Implementation Group

Key stakeholders from across the University have been identified to support the implementation of Learning Analytics and an implementation group has been established with the following membership:

Name Role School / Department
Mr Chris Wanley Director of Library & Information Services IT Services
Mr Kieron Stanley Project Manager CLIPP
Ms Farzana Hussain Project Officer CLIPP
Mr Jeremy Batt IT Services Director IT Services
Dr Sylvia Wong Senior Lecturer in Computer Science School of Engineering and Applied Science
Mr Chris Wilson Lecturer in Learning Innovation and Professional Practice  CLIPP

Implementation Sub-Groups

The project is delivered by 4 sub-groups:   

1. Policy and procedures

2. Technical

3. Interventions

4. Communications


Students and staff are invited to get involved. Contact the Project Team to find out more.