SPSS Solutions for Education

Primary and secondary school districts across the country are looking for greater insight into student performance and effective approaches for improving the quality of their educational programs. IBM SPSS Decision Management for Student Performance is an early diagnostic solution that empowers educators and administrators at every level to use data about students’ past and present performance to predict their future success.

Going beyond basic reporting, dashboards and scorecards, IBM SPSS Decision Management for Student Performance combines powerful predictive models and business logic with a simple and intuitive user experience that enables educators to quickly and easily:

• View and understand students’ progress
• Spot learning problems early
• Optimize individual intervention measures
• Maximize “on-track” performance and graduation rates

The result is greater control over academic outcomes, delivery of personalized, data-driven learning programs and improved compliance with regulatory standards.

Learn more about IBM SPSS Decision Management for Student Performance:

• Discover how to empower administrators and educators (PDF, 666KB) to help students by using existing data to maximize individual achievement, gain greater visibility into school and district performance and enhance teacher effectiveness.
• See what the Hamilton County Department of Education (PDF, 712KB) did to dramatically raise test scores, reduce dropout rates and give teachers unprecedented insight into each student’s needs using predictive analytics.
• Get answers to frequently asked questions about IBM SPSS Decision Management for Student Performance (PDF, 70.6KB)
• View this James Taylor white paper on how analytics can transform K-12 education (PDF, 345KB)

Student attrition is a costly problem. If your administrators cannot proactively identify and intervene with students who are likely to drop out, your institution could face a variety of short and long term consequences. The loss of students means the loss of tuition revenue, higher costs for recruiting new students and a devalued school reputation as dropout rates rise. However, with IBM SPSS Decision Management for Student Retention, your institution’s administrators and faculty can reach out to students early, when they first show signs of at-risk behavior for dropping out.

IBM SPSS Decision Management for Student Retention combines powerful predictive models and business logic with a simple and intuitive user interface. It provides educators with predictive insights into the various factors that affect retention and graduation rates, and delivers personalized, data-driven intervention recommendations for each student. With the right insights at the right time, you can make the most beneficial and optimal decisions for your institution in order to:

• Improve graduation and persistence rates
• Determine which students are at risk of dropping out, from first year freshmen to upperclassmen
• Identify student issues early on – such as learning problems, financial challenges or difficulty fitting in with institutional culture
• Optimize intervention measures for those students with a high risk of dropping out

Learn more about IBM SPSS Decision Management for Student Retention:

• Read the Solution Brief (PDF, 1.0MB) for details on how IBM SPSS Decision Management for Student Retention can help you take the guesswork out of keeping students enrolled.
• Get answers to frequently asked questions (PDF, 528KB) about IBM SPSS Decision Management for Student Retention.