John GledhillProduct Director - HE

Student Insight: Student and learning analytics

AgendaInstitutional challenges - knowing the students

Institutional self-study – trend analysis of student attainment related to student use of the VLE and library

Tailoring to meet student requirements

Focusing on student engagement – 80% from a 25 mile radius – commuter students

Development of tutoring – inclusivity rather than deficit

Diverse 23,000 strong student population42% students from BaME background

Average age: 27 years

Mixed entry tariff profile

Provision of support that has a bespoke and personalised feel

AgendaDevelopment partnership

Objectives

• Predict student academic performance to optimise success

• Predict students at risk of non-continuation

• Build on research into link between VLE activity and academic success

• Scale data processing • Understand risk factors and

compare to cohorts

3 years of matched student and activity data used to build predictive models

Staff can use student, engagement and academic data to understand how they affect student outcomes.

Information accessible in one place on easy to understand dashboards.

Integrated with Tribal SITS:Vision and staff e:vision portal

Consultation with academic staff on presentation and design

Accuracy of module academic performance predictions 79%

Based on module academic history and demographic factors

Student Insight

Data collection and

Data mining

Create models

Predict andunderstand

Patterns

RelationshipsTrends

Behaviours

Student Insight

Collect

SIS integration

Student activity data

1

Identify

Outcome analysis

Risk prediction

Student tagging

2 Awareness

Monitor cohorts and tags

Student engagement

Understand risk influences

3 Act

Proactively manage progress

Record decisions and actions

Manage student interventions

4

Improve

Assess intervention effectiveness Student feedback

5

AgendaRisk prediction

Academic performan

ce risk prediction

Course withdraw

al risk predictio

n

Monitor groups

and individu

al

AgendaIdentify

Tag students at risk

Monitor risk by student cohort

See what

factors affect

outcomes

AgendaUnderstand risk influences

Prediction trend

View what

influenced the

prediction

Compare to

student cohorts

AgendaRecord decisions and actions

Log decision

s and actions

Maintain history

of decisions made

AgendaManage student interventions

Inform student support team

Cases allocated

to student support

staff

Track cases

through to

completion

AgendaAssess intervention effectiveness

View impact

of actions made

Take into account student

feedback

AgendaSolution focussed

MonitorRecord SharePredictPreventSupportIntervenePersonalise

Use of Student Insight

AgendaFit for the future

Attainment plus

Student partnership

Statutory obligations

Student academic experience

Resource management

Data and analytics

Thank you