Desire2Learn Student Success System

Guiding Student Success Using Predictive Analytics to Help Drive the Path to Graduation

Rhonda Gregory Director of Instructional Technology

Adjunct Instructor Greenville College

Academic future

Economic future

Fragile student demographic

Under-served Under-represented

First Generation Learners

Adult Learners

As a Christian liberal arts college, we are committed to transforming lives, so we want to do whatever we can to help our students be successful in their courses, stay in their program, and complete their degree. The Insights Student Success System is part of that commitment.

Identify and guide at-risk learners

Create the Conditions for Success

Under-served Under-represented

College- and career-ready learners

Cultivate an environment where our learners can thrive

We gained critical understanding of predictive analytics, student behaviors in the learning environment, and course design, and we gained valuable insights into our existing procedures for at-risk interventions.

We were able to use the live predictions and study the tool configuration in even deeper detail all while gaining valuable faculty feedback about the accuracy of the predictions. Again, the process so far has been a very manageable and has provided a meaningful experience that we feel empowers us to use real and relevant data.

16However, one professor was amazed at the information available. He said that if he would have seen the information in the first few weeks of the class (instead of week 11 or 12 when he first saw the information); he would have realized that one particular student coming to class was not otherwise engaged in the course. Because that professor doesn’t use a lot of graded assessment opportunities, he wasn’t seeing the lack of engagement just in the gradebook. He did see the lack of engagement in the Learning Environment based on the S3 reports.

There are no specific student advisers at Greenville. Instead, faculty wear dual hats of teaching and advising. However, there is also a Student Success Office at Greenville who have access to the Student Success System to look for trends They are our biggest proponents of accessing more data to facilitate success.

Valuable insights into procedures for at-risk interventions and learning environment usage patterns

Faculty immediately saw value in the rich visualizations - particularly the Course Timeline and Risk Quadrant

19Baseline Retention and S3 Impact Study

Building out historical data in the LMS

Gathering baseline data from the registrar’s office along with key data points from the D2L LE

Map gains in retention figures pre- and post-implementation

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Alva Torres

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Alva Torres

“The unique visualizations in the Insights Student Success System give us an incredibly different viewpoint on how our students our trending – much more than we can do in our own minds.”

Rick Tanski,PrincipalAcademy Online High SchoolAcademy School District 20

Learner Progression and AchievementMapping Colorado and Common Core Standards to LE Competencies , Learning Objectives and Grades Tool

New perspectives on establishing, tracking, measuring and monitoring learner success

Roll-out to all 25 sections at AOHS

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“The most important ingredient is that we believed in the Student Success System – both in its approach to individualize the predictive model for each course and, then, what it could for our student’s success. We dedicated ourselves to this effort because of the incredible collaboration with the development team.”

Lorna Wong,Director, Learning Technology Development Office of Learning & Information Technology University of Wisconsin-Madison

Initial DeploymentCourse simulations and model creation

Develop confidence in predictive modeling Initial training of staff and faculty

Initial DeploymentCourse simulations and model creation

Develop confidence in predictive modeling Initial training of staff and faculty

Tweaking, Training and DevelopmentAdditional courses and faculty onboard

Developing and documenting best practicesAdoption and engagement with the learning environment

Initial DeploymentCourse simulations and model creation

Develop confidence in predictive modeling Initial training of staff and faculty

Tweaking, Training and DevelopmentAdditional courses and faculty onboard

Developing and documenting best practicesAdoption and engagement with the learning environment

Next steps for student successAdministrative and procedural reform

Folding into everyday teaching and learningInitiate student interventions

Uses predictive analytics to deliver a real-time, personalized academic progress and mentoring tool

Early guidance that assists students while they are in-flight within their courses

Identify academically at-risk, disengaged or isolated students within the first critical weeks of semester start

Taps into the data you already have on-site at your campuses

Insights ™ Student Success System

Desire2Learn Student Success System

Guiding Student Success Using Predictive Analytics to Help Drive the Path to Graduation Rhonda Gregory

Director of Instructional TechnologyGreenville College