Manage student performance in real time

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1 Manage student performance in real time Predict better academic outcomes with IBM Predictive Analytics for Student Performance Highlights Primary and secondary school districts nationwide are looking for greater insight into student performance and the effectiveness of approaches to improving the quality of their educational programs. IBM Predictive Analytics for Student Performance empowers administrators and educators with the insights to help students by using existing data to drive optimal individual achievement, gain greater visibility into school and district performance and enhance program and teacher effectiveness. The fundamental goal of our education systems is to ensure that every student is successful. Addressing academic performance issues early, before they become too severe, is the best way to ensure that students achieve their full potential, remain in school and graduate on time. IBM Predictive Analytics for Student Performance can help you proactively identify students at risk of underperforming and deliver targeted interventions to get them back on track. The solution can help answer critical questions such as: Which students are at risk of not advancing to the next grade? Which individuals are most likely to perform well given the challenge of advanced placement courses? Who will respond best to which intervention measures? What steps can be taken immediately to improve graduation rates? Through the use of predictive analytics, educators and administrators at every level can act quickly to ensure that struggling students get back on track and that high-performing students remain challenged. With IBM Predictive Analytics for Student Performance, you can use data about students past and present performance to predict their future success. By combining powerful predictive models and business logic with a simple and intuitive user experience, educators and administrators can quickly and easily: View and understand students progress Spot learning problems early Optimize individual intervention measures Maximize on track performance and graduation rates

2 Unlike traditional diagnostic reports which show historical performance only, predictive analytics give you a forwardlooking view of individual student performance and uncover hidden patterns and associations that are driving certain outcomes. For example: Superintendents can predict district performance and track year-over-year progress in benchmark assessment tests to ensure schools are meeting state and federal requirements. Principals can determine, improve and implement solutions for low-performing students before funding is impacted, as well as enhance teacher performance and efficacy. Guidance counselors and testing coordinators can work with individual teachers to determine the most appropriate action to improve the chances of success for students deemed at risk of being retained, dropping out or underperforming. Teachers can proactively implement personalized education plans for at-risk students based on early identification of problems. As a result, educators, schools and districts can gain greater control over academic outcomes, deliver personalized, data-driven learning programs for each student and meet regulatory and compliance standards. Figure 1. With just a few clicks, a superintendent can log in and immediately view graphical indicators of the predicted performance of students across the district on important upcoming assessment tests. To ensure that enough students in the district meet state and federal standards for reading and math proficiency, the superintendent will closely monitor these indicators over time to make sure that the intervention programs for students marked with Alert or Warning status are effective. 2

3 Figure 2. Teachers can receive alerts about students future performance, as well as recommendations for customized intervention strategies and instructional methods they can use when working with individual students in the classroom. Improve performance, one student at a time IBM SPSS Predictive Analytics for Student Performance can leverage all available data assessment scores, demographic information, survey responses, attendance records and more to help teachers, administrators and other professionals make better decisions in and out of the classroom. This data is fed into a predictive analytics engine built specifically to predict student outcomes. From an intuitive web-based graphical interface, users can view a complete student profile and receive real-time predictions about the student s future progress, along with insight into which intervention measures are most likely to be successful. Predictive views can be role-based depending on an educator s needs including district-wide views for superintendents, school-wide views for principals and class and student views for teachers, counselors or testing coordinators. Increase assessment scores Various grants and stimulus programs that tie educational funding to assessment scores and require greater accountability from school districts have made it more critical than ever to meet or exceed minimum state and federal standards on math and reading tests. IBM Predictive Analytics for Student Performance is designed to ensure that schools can make the grade and exceed those standards. For example, a guidance counselor for an elementary school using available data can see predicted outcomes for fifth-grade students preparing to take an upcoming spring assessment test. Using a simple and iterative process, the coordinator can drill down to view classroom and individual student outcomes. Armed with this information, additional what-if scenarios can be run to identify what actions should be taken to minimize the risks of students failing and provide tailored interventions to meet the needs of each student. 3

4 Figure 3. With IBM SPSS Modeler, you can integrate available structured and unstructured data sources, extract, transform and load the data for analysis, apply advanced algorithms to uncover hidden patterns and associations within the data, and then generate your predictive model: the golden nugget of insight, which can identify the predictors of your target variable (for example, scoring individual students on their propensity to drop out). What is under the hood? IBM SPSS Modeler is at the heart of the IBM Predictive Analytics for Student Performance solution. As a powerful data mining and predictive modeling platform, Modeler lets you and your organization extract value from readily available data by discovering untapped opportunities and new information. With new insights from your data, you can predict what is likely to happen, become proactive and optimize outcomes, rather than simply reacting as your current situation dictates. BM SPSS Modeler allows you to: Access a variety of data sources, including unstructured data, to find hidden patterns Deliver predictive, resource-aware and strategically aligned decisions almost instantly to people and systems at the point of impact Put analytics in the hands of whoever will benefit from it, regardless of their statistical or analytical background Once a counselor determines the right approach, he or she can advise the teacher on how to proceed. The teacher and counselor can continue to monitor and adjust the instruction of the student accordingly throughout the school year. By continually integrating new student data, including practice assessment tests, grades and attendance, the predictive model learns over time, becoming more accurate with each iteration. Increase early literacy rates Improving early literacy rates with limited or shrinking resources is becoming increasingly difficult. Meeting this challenge means ensuring the efficient use of both time and resources. To maintain efficiency, many school districts are making better use of student data. Analysis of student data can provide insight capable of revealing the different factors that affect student literacy. This information can even be plumbed to proactively identify students at risk of not meeting language arts proficiency benchmarks. 4

5 IBM Predictive Analytics for Student Performance is designed to provide powerful analytical capabilities that can help schools increase early literacy rates and: Improve student performance by empowering stakeholders to make data-driven decisions Enhance visibility to predict district performance and track year-over-year progress in benchmark assessment tests to ensure that schools are meeting state and federal requirements Secure funding by determining, improving, and implementing solutions for low-performing students before funding is affected School districts that implement this solution can make better decisions to improve student reading proficiency. With increased pressure to meet state mandates on student performance and lucrative incentives available to states and districts that demonstrate significant results, educational administrators and teachers have realized that the time to act is now. Boosting graduation rates In the suburbs of Chattanooga, Tennessee, the Hamilton County Department of Education, which oversees nine K-12 school districts comprised of 78 schools serving 40,000 students, reduced its dropout rate by 25 percent by leveraging predictive analytics. Historically, students were scoring below state target levels and leaving school early, but pinpointing the problem from summary-level reports supplied by the state was difficult. When administrators analyzed the data, they discovered that one of the strongest predictors of student attrition was age. Sixty-three percent of Hamilton County high school students who are two to three standard deviations older than other students in their grade drop out. Knowing which students were most at risk, and knowing where to focus, enabled the Department to provide the appropriate support to keep at-risk individuals in school and on track for graduation. This analysis, leveraging IBM Business Analytics technology, continues to deliver critical insight on individual students so teachers know where to focus. Assess curriculum and enhance teacher effectiveness Surveying can be an excellent method to collect meaningful feedback on student and teacher performance, curriculum and other factors driving performance. By integrating survey data along with other information into the predictive engine, you can analyze different intervention approaches and delivery models to find which ones work best for students with similar needs. For instance, does dual or co-teaching work better for a particular student or group of students, or is mixing special education students with general education students a sound approach? Understanding which models work for specific types of students will help enable better decisions about programs, program design and the direction the overall curriculum takes. For districts exploring new ways to enhance teacher effectiveness, information can also be used to predict how individual educators can be most effective. IBM Predictive Analytics for Student Performance provides a way to measure and reward teachers who exceed predicted student performance levels, as well as assist teachers who may need to improve their skills in specific areas. Deliver consistent, accurate decisions every time Through a single decision engine that can be used across all areas of a classroom, school or district, IBM Predictive Analytics can empower your organization to deliver better decisions at every level. As a closed-loop solution that continually incorporates valuable feedback into the decision-making process, it s an ideal approach for districts that want to proactively address changing student conditions and maximize the benefit of every student-performance-related decision. The software can be leveraged via the web as a Software as a Service (SaaS) or through a standard on-premises licensing option. With the SaaS option, IBM delivers a fully hosted service with IBM providing and managing both the software and the technical infrastructure. You can then focus on the analysis and results without worrying about hardware, 5

6 software, staffing levels or ongoing maintenance costs. With an easy-to-budget monthly or quarterly subscription, IBM Predictive Analytics for Student Performance is available to all authorized users from their own desktop browser. About IBM IBM software delivers complete, consistent and accurate information that decision makers trust to improve business performance. A comprehensive portfolio of business intelligence, predictive analytics, financial performance and strategy management, and analytic applications provides clear, immediate and actionable insights into current performance and the ability to predict future outcomes. Combined with rich industry solutions, proven practices and professional services, IBM Business Analytics software can help organizations of every size boost productivity, confidently automate decisions and deliver better results. As part of this portfolio, IBM Predictive Analytics software helps organizations predict future events and proactively act upon that insight to drive better business outcomes. Commercial, government and academic customers worldwide rely on IBM Predictive Analytics technology as a competitive advantage in attracting, retaining and growing customers, while reducing fraud and mitigating risk. By incorporating IBM software into their daily operations, organizations become predictive enterprises able to direct and automate decisions to meet business goals and achieve measurable competitive advantage. For more information For further information or to reach a representative visit or call for more information. Copyright IBM Corporation 2014 IBM Corporation Software Group Route 100 Somers, NY Produced in the United States of America April 2014 IBM, the IBM logo, ibm.com and SPSS are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at Copyright and trademark information at ibm.com/legal/copytrade. shtml This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates. The client examples cited are presented for illustrative purposes only. Actual performance results may vary depending on specific configurations and operating conditions. THE INFORMATION IN THIS DOCUMENT IS PROVIDED AS IS WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON- INFRINGEMENT. IBM products are warranted according to the terms and conditions of the agreements under which they are provided. Please Recycle YTD03053-USEN-04

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