Colleges and universities are investing time, money, and innovation capital to improve academic outcomes, but what is their return on these investments? While American higher education administrators are among the most passionate, admired educators in the world, the gap between the number of graduates we are producing and the number our economy needs to compete continues to widen…
What schools lack are the right tools and data infrastructure to know what's working—and what's not—for an increasingly large and diverse college population. And students, faculty, and administrators need access to these insights not in years, semesters, or months…but in real-time.
More than ever, institutions need to be better served by technology. The latest advancements – big data, predictive analytics, machine learning, and recommendation engines – have transformed other industries. If we can use these technologies to change the way people buy TVs, play games online, and rent movies, surely we can use them to transform education.
As online and hybrid learning models expand, and digital tools increasingly permeate classrooms, learning interactions are generating enormous volumes of data. This data has the potential to help us understand what works, but translating these mountains of data into real insights, and then transforming those insights into recommendations at the moment they are needed most, is incredibly difficult.
It requires unlocking data from various closed systems, aggregating it, then normalizing it for deep analysis. And that's just the beginning–next is the need for a big data-ready infrastructure to process massive quantities of information in near-real time, industry leading data scientists, partnering with educators and using machine learning, to glean insights and recommendations from this data, and a robust app ecosystem to deliver these recommendations in a consumable format directly faculty, students, and staff.
We are here to bring the technology tools and data science skills needed to transform the way decisions are made across campus and throughout the student lifecycle. For faculty and staff, data about which resources work best for which students, what types of interactions lead to engagement and completion, and what kinds of instructional innovations are delivering results can dramatically improve their ability to help students. For students, personalized recommendations on everything from degree and course selection to how to best use study time helps students stay on track, successfully complete courses, and graduate.
Civitas Learning partners with thought-leading colleges and universities to bring predictive analytics to the front-lines of learning.