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Case Study: Austin Peay State University<br />

and the student’s major, and in which the<br />

student is expected to succeed academically.<br />

Each student’s recommended course list<br />

is conveniently displayed in a web-based interface<br />

on the secure side of the university<br />

portal. This interactive interface provides information<br />

on each recommended course’s<br />

curriculum and requirements and what role<br />

that course plays in the student’s degree program,<br />

as well as class availability in upcoming<br />

semesters. This same information is also<br />

available on PeayMobile, the APSU mobile<br />

application (see Figure 2). Faculty advisors<br />

can access Degree Compass as a tool for academic<br />

advising to supplement the material<br />

available to faculty members when they provide<br />

advice to their advisees.<br />

Degree Compass also provides a number<br />

of enterprise-scale reports that provide<br />

strategic information to department chairs<br />

and advisors. These reports provide data<br />

that enable targeted interventions. For instance,<br />

one report allows the institution to<br />

Figure 2.<br />

Degree Compass on<br />

Mobile Device<br />

enhance its Early Alert System at the outset of the semester by using projected<br />

course grades to identify students who would benefit from tutoring support<br />

or academic mentoring.<br />

Does It Work<br />

The main factor in student success and progression lies in the system’s<br />

ability to place students in courses in which they will be most successful. Faculty<br />

and students both welcome the additional information and interact comfortably<br />

with the interface.<br />

The grade-prediction model provides an accurate estimate of the final<br />

grade a student is likely to receive. When the model’s predictions are retrospectively<br />

compared with real student grades, we found that 90 percent of the<br />

time the model correctly predicted courses in which students would achieve<br />

a C or better—on average, it was able to successfully predict grades of C or<br />

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