Skip to content

Case study · Desire2Learn

Degree Compass: smarter course selection.

Desire2Learn: A global leader in educational technology, built on a belief most of higher ed hadn’t questioned: that dropout was a motivation problem, not a data problem.

Partners

  • Desire2Learn
  • Austin Peay State University
  • Bill & Melinda Gates Foundation
Customers, millions of users
100,000+
More courses completed toward a degree
20%
From idea to deployed system
1 year

The genesis

Where it started.

Ambition

It is estimated that school drop-out costs the US economy about $459B in lost revenue. D2L set out to address this directly (30% of students drop out in universities) by helping institutions meet their graduation goals.

Target group

University students at risk of dropping out, and the higher-education institutions responsible for their outcomes.

The challenge

What stood in the way.

Ed-tech’s status quo

Course selection was largely blind: students picked courses without much sense of which ones actually fit their aptitude or interests, and dropout stayed high as a result.

Turning an idea into a product

D2L had already partnered with Austin Peay State University on patented technology called Degree Compass. What they didn’t have was a way to turn that idea into a real product that could scale and serve millions of students globally.

The belief underneath the barrier: that dropout was something to manage after the fact, not something a better first course choice could prevent.

Our strategic intervention

Three moves, in order.

  1. 01

    Data Partnership

    Built on D2L’s existing partnership with Austin Peay State University and the patented Degree Compass technology.

  2. 02

    AI Model Build

    Within 6 months, developed an AI-based system that helps students pick suitable courses based on their aptitude and interests.

  3. 03

    Scaled Rollout

    Deployed the system to serve millions of students globally, not just the original pilot population.

Execution & innovation

How it was built.

Aptitude matching engine

AI evaluates each student’s aptitude and interests to recommend courses they’re more likely to complete.

Predictive course selection

Recommendations are built to increase the odds of a student finishing their degree, not just filling a schedule.

National recognition

The program’s success drew mentions from President Barack Obama and the Bill & Melinda Gates Foundation.

Results

What changed.

  • Course Load Increase

    Students using Degree Compass take 20% more courses toward their degree.

  • Dropout Decline

    Dropout rates declined dramatically within the first year of use.

  • National Spotlight

    Recognized publicly by President Obama and the Bill & Melinda Gates Foundation.

  • Scale Achieved

    Now supporting a platform with 100,000+ customers and millions of users.

By the numbers

Increase in enrollments
20%
Project duration
1 year
Invested
~$1M+

Budget

~$1M+

Timeline

1 year, from initial analysis to deployment.

Conclusion

Desire2Learn’s story is what happens when an institution stops treating dropout as something to react to and starts treating it as something a better first match can prevent. The belief shifted, from “we manage dropout” to “we can predict and prevent it,” and the results followed: more courses completed, fewer students lost, and recognition reaching the White House and the Gates Foundation.

In their words

From the people who were there.

TetraNoodle brought a very pragmatic, collaborative attitude to the work.

Stephen Michaud

Senior Manager, Learning Applications, Integrations, and Analytics, The University of British Columbia

TetraNoodle is used to designing and maintaining mission critical implementations.

Simon Ruddell

Senior Project Manager, Coast Capital Savings

What’s next

Your story could be next.

See where you stand, then build the operation that compounds from here.