Using glyphs, we have been able to enhance our analysis and find answers that inform student success programs more quickly, easily, and effectively. The insights reinforced what we already supposed, that three key factors heavily influenced student success: engagement, financial aid, and academic data. Using the power of visuals, and weaving in other variables such as attendance at events, involvement in clubs, work study, etc., we rapidly discovered previously unknown behavioral factors that indicate student risk. For example, early on our glyph data revealed that commuter students tended to be less engaged than on-campus students.
Further insights revealed that students who skip orientation meetings are less successful than those who attend the meetings. We could also zoom in on the financial status as a risk factor and pinpoint students who may be struggling using data based on registration hold reports.
With all of this data-driven insight, we’ve been able to inform additional student success programs. For example, the establishment of a commuter lounge was an early initiative to encourage fellowship between commuter students and provide a place to take advantage of advisory services. To drive engagement, we’ve also added new club, sports, and travel experiences and funded departmental engagement events. Orientation events are now mandatory. And, we’ve created a network of advisors across campus to aid us in reaching out to those students we identify as at-risk, providing an invaluable one-on-one resource.
Financial factors are being tackled with initiatives such as lessening reliance on costly textbooks in classrooms, thereby easing the burden for those who struggle financially.
Glyphs also give us the power to add geo-location data and other variables to the mix so that we can assess the impact that other factors, such as residence halls, have on student wellbeing.
One thing we noticed early on is that our data insights are only as good as the data we capture. So, we’ve stepped up our efforts to track student involvement in other ways, such as introducing swipe cards at events. Now we can learn more about which specific extracurricular experiences engage students the most.
By combining glyph-based data analysis with initiatives like these we’ve seen measurable success. In just one year, student retention increased by five percent, the equivalent of $2 million in tuition revenue over a four-year period.
Ultimately, this data-visualization revolution translates to lifelong success for our students. Glyphs were an integral part of identifying those students and helping them to stay in school. Using the power of data visualization to glean big-picture answers as to which students are vulnerable to attrition and why has been transformative to our intervention programs and other student-engagement initiatives.
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