Oct. 26, 2012
/PRNewswire/ -- IBM (NYSE:
) today announced Smarter Education projects with the
Community College of Rhode Island
Public Schools to apply predictive analytics and Web-based software technologies to help improve student performance and achievement.
All schools, from K-12 to colleges and universities, are under increased pressure to ensure that students not only graduate, but possess the workforce skills to succeed in a globally competitive world. Both CCRI and
are digitally transforming their learning environments to help improve student achievement.
Now in its 48th year, CCRI is the largest community college in New England, offering nearly 90 degree and certificate programs to its approximately 18,000 students. ConnectEDU is working with CCRI on their Connect to College (C2C) project, designed to centralize critical student services and offer a unique way for students to manage their academic life. By adding IBM's predictive analytics software, they gain the ability to see data patterns to determine where intervention might be needed.
With the combined solution, CCRI will be able to both capture and convey student data, gaining real-time perspective into how a student or school is doing and where intervention is needed. They will have the tools to determine which students are at risk of not completing the steps to achieve their intended goals and implement the interventions to get them back on track.
"The power of the ConnectEDU and IBM partnership brings learner-level data into an actionable format for our counselors and advisors to truly impact student success, in real-time," said
, president of CCRI. "This platform is a scalable solution for our C2C team, using technology to identify at-risk students before they're truly at-risk."
Through the C2C web portal, students will be able to access content and learning modules for skills ranging from time management and career planning. They will receive reminders for upcoming deadlines and gain access to a network of mentors, among other offerings. IBM's SPSS predictive modeling and analytics software, when applied to this data, will help advisors make the best recommendations to students as they plan and navigate their academic life.