First: A word about Power Pointless! My colleagues and I at the University of Illinois Springfield Center for Online Learning, Research and Service present often at academic conferences. We encourage attendees to freely share presentation materials online using web-native tools that encourage collaboration and updating. You may follow the session using your personal mobile media to dig deeper into the topics we discuss and share with others following the conference:
Overall persistence of students in higher education is dropping - now at 68.8%, down 1.2% since 2009. (persistence refers to students who remain enrolled at any college)
Overall retention remains at 58.2%. (retention refers to students who remain at the same college)
Data from the National Student Clearinghouse Research Center
What is at stake?
Lose 100 students = a million dollars or more in tuition revenue let alone human cost
Dedicating 10 staff members and associated software/hardware to save 100 students a year is cost effective.
Online retention rates at many colleges and universities hover in the 50-60% range
Lack of preparation, maturity, self-discipline are often blamed, but blame does not solve the problem....
How do we address the problem?
Successful programs vigilantly collect data and promptly act on findings
Text messaging reminders prompt millennial student action
Descriptive and Diagnostic Analytics to Determine Blockages
This is the step too many colleges/universities skip - use your enterprise system (Banner, People Soft, etc.) and your learning management system to collect the data you need to make informed interventions
MOOC dropouts - What we learn from those who leave
Why Students Drop / Stop
Plethora of reasons that students drop or stop out of online classes, here are some of those most often cited, how do we quantify/collect data on these:
Factors Associated with Retention in Online Programs
Monitoring Progress / Dashboards
Performance Dashboards enable better monitoring of student progress
Blackboard Performance Dashboard
Starfish dashboard and "kudos"
Purdue Course Signals program allows students to gauge performance against the rest of the class
In higher education predictive analytics enables administrators to predict success or challenges based on the history of students (or applicants) with the same or similar characteristics such as:
Predictive Analytics Reporting Project
Paired with predictive analytics are prescriptive interventions. Given specific analytics for a student the previously-tested (and prescribed) interventions may include such activities as:
Implementing 12 Essentials of Prescriptive Analytics for Student Success
Putting Analytics to Work
Babson College research suggests that organizations go through stages in implementing data-driving decision making, these include
How can I keep up on the latest news and research?