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1. Identify how predictive analytics was used to solve the business problem. Explain how the predictive analytics solution works. 2. İdentify how analytics culture was built in the company. 3. Identify another possible predictive analytics solutions can be applied in schools. Identify the data that you need to be able to provide this predictive solution. Explain how this predictive analytics solution works.

1. Identify how predictive analytics was used to solve the business problem. Explain how the predictive analytics solution works. 2. İdentify how analytics culture was built in the company. 3. Identify another possible predictive analytics solutions can be applied in schools. Identify the data that you need to be able to provide this predictive solution. Explain how this predictive analytics solution works.

Understanding Business
Understanding Business
12th Edition
ISBN:9781259929434
Author:William Nickels
Publisher:William Nickels
Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment
Section: Chapter Questions
Problem 1CE
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IBM Global Center for Smarter Analytics Howard School, progress has been even dramatic, with the graduation rate tripling over six years, culminating in a the last year. "We went from one in four graduating to three in four graduating. You can't ask for better than that in six years," says Howard principal Paul Smith. "Though we're not sati sfied until we're at 100 percent, we're happy with the progress." more nearly 10 percent increase in Business objectives Identify students who have a high risk of dropping out of school Identify special needs of subgroups of students Identify a performance of the students against to evaluate the performance of the teacher benchmark to compare the While educational intelligence has largely been directed toward identifying and helping individual students, Hamilton County is predictive analytics into day-to-day teaching and learning activities. Educators have always known that the also incorporating Questions 1. Identify how predictive analytics was used to solve the business problem. Explain how the predictive analytics solution works. 2. Identify how analytics culture was built in the behavior roots of poor performance and drop-out in high school often reach back far into a student's early grades. Analytics educators to better understand how these adverse is enabling Hamilton County company. 3. Identify another possible predictive analytics solutions can be applied in schools. Identify the data that you need to be able to provide this predictive solution. Explain how this predictive analytics solution works. s academic life cycle- patterns form over the student's and what they can do to correct them. It's seen in the way Hamilton County teachers have formed networks to more intensively interact with each other both across grades (e.g., high school and middle school) and within grades (e.g., a math teacher interacting with a social studies or English teacher) in the interests of individual students. A comprehensive and dynamic view of the student-crossing educational S.com boundaries-is what makes this po ssible. Hamilton County is also leveraging analytics to create innovative teacher incentive programs. By looking at the historical relationship between eighth-grade test scores and high school exams, the county is able to predict, in effect, a baseline performance benchmark for each student. By compensating teachers based on their ability to beat this rigorous benchmark, Hamilton County is using predictive analytics to encourage performance improvements for both teachers and students. also providing Hamilton County pinpoint opportunities to adjust the curriculum to meet the specific subset of the student population. For example, when analysis showed that male students were scoring below females on the state's writing assessment test, Hamilton County responded by implementing a system-wide approach to address the needs of male students and close the performance gap. Analytics is administrators with the means to needs of IBM о Сорyright IBM Coгporation 2013 IBM Philippines IBM Plaza, Libis, Quezon City May 2013 13
Transcribed Image Text:IBM Global Center for Smarter Analytics Howard School, progress has been even dramatic, with the graduation rate tripling over six years, culminating in a the last year. "We went from one in four graduating to three in four graduating. You can't ask for better than that in six years," says Howard principal Paul Smith. "Though we're not sati sfied until we're at 100 percent, we're happy with the progress." more nearly 10 percent increase in Business objectives Identify students who have a high risk of dropping out of school Identify special needs of subgroups of students Identify a performance of the students against to evaluate the performance of the teacher benchmark to compare the While educational intelligence has largely been directed toward identifying and helping individual students, Hamilton County is predictive analytics into day-to-day teaching and learning activities. Educators have always known that the also incorporating Questions 1. Identify how predictive analytics was used to solve the business problem. Explain how the predictive analytics solution works. 2. Identify how analytics culture was built in the behavior roots of poor performance and drop-out in high school often reach back far into a student's early grades. Analytics educators to better understand how these adverse is enabling Hamilton County company. 3. Identify another possible predictive analytics solutions can be applied in schools. Identify the data that you need to be able to provide this predictive solution. Explain how this predictive analytics solution works. s academic life cycle- patterns form over the student's and what they can do to correct them. It's seen in the way Hamilton County teachers have formed networks to more intensively interact with each other both across grades (e.g., high school and middle school) and within grades (e.g., a math teacher interacting with a social studies or English teacher) in the interests of individual students. A comprehensive and dynamic view of the student-crossing educational S.com boundaries-is what makes this po ssible. Hamilton County is also leveraging analytics to create innovative teacher incentive programs. By looking at the historical relationship between eighth-grade test scores and high school exams, the county is able to predict, in effect, a baseline performance benchmark for each student. By compensating teachers based on their ability to beat this rigorous benchmark, Hamilton County is using predictive analytics to encourage performance improvements for both teachers and students. also providing Hamilton County pinpoint opportunities to adjust the curriculum to meet the specific subset of the student population. For example, when analysis showed that male students were scoring below females on the state's writing assessment test, Hamilton County responded by implementing a system-wide approach to address the needs of male students and close the performance gap. Analytics is administrators with the means to needs of IBM о Сорyright IBM Coгporation 2013 IBM Philippines IBM Plaza, Libis, Quezon City May 2013 13
IBM Global Center for Smarter Analytics Case Analysis 7: Hamilton County dropout rates and lagging performance required the county to address these problems on the individual student level. Department of Education But that meant first finding the students who needed help, and doing so before their problems led them to drop out of the Hamilton County school system. At the end of the day, there's no one better positioned to sense when the student is in academic trouble than a teacher or counselor with whom students have a direct relationship. The trouble is, warning signs are often complex and cumulative in nature, thus escaping the notice of frontline educators and administrators. Add to that the everyday challenges of running a classroom, and it's all the more understandable how problem students can fly “under the radar" until it's too late. PARIMENT ZONE TEDUCATION Kelly recognized that early detection of at-risk students required a more multidimensional view of their progress, performance and path through the Hamilton County school system. To accomplish this, Kelly developed a performance modeling tool that extracts individual student data from the county's 78 schools and uses it to create predictive profiles, which help to flag those students in need of proactive intervention by teachers or counselors. Using built-in algorithms, the model determines which factors are the strongest predictors of out. Based on the outcomes of the model, each student is placed into one of four performance categories. Identifying those students labeled "fragile" or "off- track" is just the beginning of a process whose ultimate aim is the success of the student. Company Background The Hamilton County Department of Education is a diverse school system, providing roughly 42,000 students with a world class education. The system is nationally renowned for urban school success as well as middle school and high school reform. The district offers a variety of educational programs for all students including magnet schools, career academies and gender-based classes as well as a focus on individual student success and the student failing or dropping goal students to compete in the Global Economy. of preparing all It started a few years ago, when Hamilton County began looking into why its students were consistently scoring below state benchmarks on standardized tests. Administrators didn't get far before realizing they lacked the kind of detailed, granular data that would be necessary to understand the factors that contributed to the poor performance, much less act on the problem. What little performance data Hamilton County had been receiving came from state scoring reports (as part of No Child Left Behind), which provided a lumpy, aggregated measure of whether the county's 40,000 students were on track. Hilary Smith is a key part of that process. Based at the Howard School of Academics and Technology in Chattanooga, some 15 miles away from the home office, Smith is the Department of Education's Lead Counselor. Howard is an inner-city school, long seen as epitomizing the kinds of problems- such as high rates of dropping out and disciplinary problems-that Hamilton County is trying to address. When Smith first came to Howard seven years ago, it graduated just one in four students, a far lower graduation rate than the county as a whole. The other key indicator Hamilton County tracked on its own was the share of its students that graduated from high school. Kelly and his colleagues realized all too well that dropout rates and student performance were affected by many of the same factors-in some ways, two sides of the same coin. But most of all. Kelly's experience-gained as a teacher and a principal earlier in his 18 years in the Hamilton County system-taught him that beneath the numbers were children, and that solving tough problems like For Hamilton County as a whole, that difference is already apparent in a graduation rate that has increased by more than 8 percentage points in the last year, to nearly 80 percent. standardized testing scores have also increased by more than 10 percent for both math and reading. At the Over the past few years, 12
Transcribed Image Text:IBM Global Center for Smarter Analytics Case Analysis 7: Hamilton County dropout rates and lagging performance required the county to address these problems on the individual student level. Department of Education But that meant first finding the students who needed help, and doing so before their problems led them to drop out of the Hamilton County school system. At the end of the day, there's no one better positioned to sense when the student is in academic trouble than a teacher or counselor with whom students have a direct relationship. The trouble is, warning signs are often complex and cumulative in nature, thus escaping the notice of frontline educators and administrators. Add to that the everyday challenges of running a classroom, and it's all the more understandable how problem students can fly “under the radar" until it's too late. PARIMENT ZONE TEDUCATION Kelly recognized that early detection of at-risk students required a more multidimensional view of their progress, performance and path through the Hamilton County school system. To accomplish this, Kelly developed a performance modeling tool that extracts individual student data from the county's 78 schools and uses it to create predictive profiles, which help to flag those students in need of proactive intervention by teachers or counselors. Using built-in algorithms, the model determines which factors are the strongest predictors of out. Based on the outcomes of the model, each student is placed into one of four performance categories. Identifying those students labeled "fragile" or "off- track" is just the beginning of a process whose ultimate aim is the success of the student. Company Background The Hamilton County Department of Education is a diverse school system, providing roughly 42,000 students with a world class education. The system is nationally renowned for urban school success as well as middle school and high school reform. The district offers a variety of educational programs for all students including magnet schools, career academies and gender-based classes as well as a focus on individual student success and the student failing or dropping goal students to compete in the Global Economy. of preparing all It started a few years ago, when Hamilton County began looking into why its students were consistently scoring below state benchmarks on standardized tests. Administrators didn't get far before realizing they lacked the kind of detailed, granular data that would be necessary to understand the factors that contributed to the poor performance, much less act on the problem. What little performance data Hamilton County had been receiving came from state scoring reports (as part of No Child Left Behind), which provided a lumpy, aggregated measure of whether the county's 40,000 students were on track. Hilary Smith is a key part of that process. Based at the Howard School of Academics and Technology in Chattanooga, some 15 miles away from the home office, Smith is the Department of Education's Lead Counselor. Howard is an inner-city school, long seen as epitomizing the kinds of problems- such as high rates of dropping out and disciplinary problems-that Hamilton County is trying to address. When Smith first came to Howard seven years ago, it graduated just one in four students, a far lower graduation rate than the county as a whole. The other key indicator Hamilton County tracked on its own was the share of its students that graduated from high school. Kelly and his colleagues realized all too well that dropout rates and student performance were affected by many of the same factors-in some ways, two sides of the same coin. But most of all. Kelly's experience-gained as a teacher and a principal earlier in his 18 years in the Hamilton County system-taught him that beneath the numbers were children, and that solving tough problems like For Hamilton County as a whole, that difference is already apparent in a graduation rate that has increased by more than 8 percentage points in the last year, to nearly 80 percent. standardized testing scores have also increased by more than 10 percent for both math and reading. At the Over the past few years, 12
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