Using analytics to keep tabs on student progress
Predictive data analytics have been around for some time, but the education industry is now understanding how to capitalize this practice in a way that truly defines the college learning experience, according to Brian Rowe, Founder and Chief Executive Officer of Perceivant.
“While for many a college degree may be the golden ticket to a better job, this incentive alone isn’t enough to stop millions from dropping out of school or delaying graduation,” he writes. “In fact, some universities are experiencing freshman retention rates as low as 47 percent.”
“On top of the incredibly high dropout rate, the affordability of college continues to be scrutinized. This has put universities under intense pressure to demonstrate a tangible return on investment for students and their parents. The answer to this predicament is a practice called predictive analytics.”
Purdue University has successfully used data analytics through its system ‘Course Signals’, which helps predict academic and behavioral issues among the student population.
The system gives notifications to both students and teachers when action is required to help them reach their potential, stay on track and decrease school dropout rates.
Course Signals is able to gauge a student’s academic preparation, engagement, effort levels and academic performance at a given point in time by using predictive modeling and data mining. Then, it creates a ‘risk profile’ for students based on a traffic light system, with ‘red’ meaning that students are at risk of failing.
Course Signals has been in use since 2007, dramatically improving student performance and retention. According to the website, “As and Bs have increased by as much as 28% in some courses. In most cases, the greatest improvement is seen in students who were initially receiving Cs and Ds in early assignments, and pull up half a letter grade or more to a B or C.”
These are just some examples of how students and educators are benefiting from embracing new technologies for higher education.
As newer technologies lik 5G become a reality, and current technologies like cloud computing and blockchain further evolve, they will become even faster and more accessible, giving more universities on all corners of the globe the chance to experiment with tech in the classroom.
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