Course Monitoring and the Student DashboardPart of the ITEAM ProjectJulie Vuolo

Course monitoring and the Student Dashboard

• A development which pulls together information about VLE (module level) engagement and assessment performance and displays it in a student and staff view within the VLE

• To help students with the self-regulation of their studies.

• To help staff identify where support for individuals or groups of students might be needed

Filter students

Set threshold

Traffic lights

Modules

Average grade

Student input• ..wanted to know where they were in relation to others as this

would be a motivator to do better • ..felt it would not de-motivate them to know they were at the

lower end of the league table. • ..said the currency of data is important if dashboard is to be

meaningful to them• ..would like a predictor or calculator for working out final

classification• ..wanted re-assurance that their information would only be

seen by ‘those needing it’• ..were interested in what else could go in there e.g. book

loans, module pass/fail rates

Design considerationsGeneral, Access, Display, Content, Support

Access• Levels of staff access need to be agreed & processes developed to

gate-keep access• It should be clear to staff and students what levels of access exist• Entry to the SPD should be quick and easy e.g. icon click on

homepage• Effective filters should be employed to allow staff to access

relevant information quickly• Links to other University information systems should be

embedded in the SPD e.g. University Policies and Regulations on classification

Design considerationsDisplay• Page content should be signposted clearly to aid navigation within the

dashboard• Data should be presented in a simple, unambiguous manner for

clarity of meaning and to promote engagement• Colour schemes should be simple and consistent to ensure clarity of

presentation and to promote engagement

Support• There must be education for student and teachers about using the

SPD• Education should target staff and students and include how to access

and functionality, limitations and data interpretation.

Average Grade for Module Hits

Potential

What other data would be useful to influence learning and teaching?