For example, the Civitas platform gathers data from student-data and learning-management systems to provide the following insights to colleges and universities:
• The GPA tipping point for student success or failure at a particular school.
A Note for the Higher Education CIO:
The data floodgates have opened, and higher education CIOs can feel like they’re drowning in an unfortunate combination of too much information and too little infrastructure.
To stay afloat, CIOs should consider making the business case for new system architecture or, at the very least, reevaluate their IT capabilities and limitations.
• Whether standardized test scores or grades are more predictive of degree completion.
What’s Next?
Institutes of higher education that seek to utilize big data in even bigger ways should start small, zeroing in on small, data-intensive problems that can be solved with analytics.
Once momentum is built and the majority realizes the true potential of a big data project, universities should build a culture that respects data as a tool to improve student and educator experience.
It’s also important for colleges and universities to find business partners that can help along the journey, answering questions and providing utility through products and services geared to optimum big data acquisition, storage and management.
In sum, big data shows much promise in the educational market. When it is properly utilized, it can improve student experience, school retention rate and instructor effectiveness.
If you enjoyed this article and want to receive more valuable industry content like this, click here to sign up for our digital newsletters!
Leave a Reply