How does it work?

StREAM for Online ingests data from a range of university data sources
relating to online study modes and the algorithm uses the data to deliver
daily engagement scores that can be acted on from day one.

Key Features

Predictive Algorithm

For identifying students at risk of withdrawal

Individual Student Engagement Scores

Enable students and tutors to understand how engaged a student is with their studies

Engagement Tracked Over Time

For students, tutors and staff to identify trends in engagement and identify potential issues for resolution and intervention

Engagement Alert Notifications

Enable students and staff to remediate any issues and focus resource effectively

Filters And Segmentation Functionality

For tutors and staff to easily analyse cohort and school level data

Simple Dashboards

For students, tutors and management

Course And Modular Analytics

Enable fast insight into the engagement effectiveness of university courses

Who is StREAM for Online For?

University Students

The StREAM for Online engagement score has been built with the primary focus of helping a student understand and manage their learning experience. Students can easily access and make decisions about their own learning journey based on their data. At a time when self-determination will be so important, StREAM for Online empowers the student – like a fitbit for education. It provides a daily engagement score and highlights patterns of activity they can use to better understand themselves and their behaviours in relation to their learning journey.

Learning Analytics

Personal Tutors

The insight provided by StREAM for Online enables the tutor to see an unbiased and true picture of a student’s engagement. Personal Academic tutors and teaching staff working from home can be responsive and personalised in their coaching of students in the new world of online learning through a simple engagement score that indicates student behaviour and activity. This encourages meaningful communication between tutor and student based on knowledge and facts that focuses the attention of the tutor towards students requiring help and support. The aim is to direct limited resources to those in need of support and eliminate waste in terms of time and effort.

Educational Institutions

For an institution, StREAM for Online provides the ability to see a holistic view of the student engagement ecosystem. At a time when University portfolios are moving entirely online, StREAM for Online enables near real time feedback to an institution of how new policies and processes being rolled out at pace are being received by students. It provides data and insight for strategic decision making at cohort, faculty and institutional level. The longitudinal data it provides can be used to analyse policy rollouts and intervention impacts to understand the results of process implementation.

How is StREAM For Online different?

  • Demographic Data Not Included In The Algorithm

    Unlike other learning analytics platforms, the algorithm that drives the StREAM for Online application does not use student demographic characteristics as data inputs. A student’s engagement is based solely on their activity; which unlike demographics markers is something students are able to change, providing a meaningful metric around which the tutor and tutee can communicate. This enables the university to be transparent about the data they hold and the decisions they are making regarding student support, also helping students to be more self-reflective and self-determined in their studies. Whilst we believe that including these markers within the algorithm is unethical and inhibits deployment at scale; we do recognise the importance of them and are therefore available for planning and reporting purposes.

  • No large scale in-house support required

    Unlike other student engagement software, StREAM for Online is a managed subscription service and is therefore supported within in its own technical environment and does not require the university to invest in and maintain in-house teams to maintain the solution.

  • Doesn’t require specialist knowledge or skills to use

    The key functionality of the StREAM for Online product transforms complex data and serves into an intuitive dashboard, meaning that students, tutors and support staff can easily interpret and act upon the data provided. The system does not produce complex data models or functionality that requires specialist knowledge/skills to understand, meaning it can be adopted easily across the university system.