DataRobot Case Studies Australian Schools Boost Student Success, Reduce Attrition by 13% — with AI

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	Australian Schools Boost Student Success, Reduce Attrition by 13% — with AI DataRobot

Australian Schools Boost Student Success, Reduce Attrition by 13% — with AI

DataRobot

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics
Applicable Industries	Education
Applicable Functions	Business Operation Human Resources
Use Cases	Predictive Maintenance Predictive Quality Analytics
Services	Data Science Services
Challenge	Catholic Education Diocese of Parramatta (CEDP) is an educational institution with 80 schools and 44,500 students across New South Wales. The institution holds a wealth of data on its students, from performance to attendance to demographics. However, CEDP lacked the internal resources to mine this data to improve student performance and advance operational goals. They sought a solution that could help them leverage this data to enhance student success and operations. Read More
About Customer	Catholic Education Diocese of Parramatta (CEDP) is an educational institution that serves one of the fastest-growing areas of New South Wales with 80 schools across Western Sydney and the Blue Mountains. The institution is known for its innovative approach to education, offering highly successful trade training programs, vocational education and training programs across 26 sites, and a virtual School of Now. CEDP is committed to using innovation and new thinking to connect students to real-world opportunities. The institution holds a wealth of data on its students, from performance to attendance to demographics. Read More
Solution	CEDP turned to DataRobot AI Cloud for automated machine learning. The platform stood out for its essential explainability, documentation, and the fact that, as a stand-alone platform, it would plug into CEDP’s existing data sources, mainly Alteryx. CEDP began applying AutoML to predicting achievement for students in their last year of high school. For that, CEDP could tap into more than a decade worth of data. DataRobot AI Cloud simplifies the entire lifecycle, from model preparation to building to monitoring. The platform runs through numerous models, enabling Dr. Varanasi and a small team of analysts to determine which one is the most effective. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Applicable Industries

Education

Applicable Functions

Business Operation

Human Resources

Use Cases

Predictive Maintenance

Predictive Quality Analytics

Services

Data Science Services

Challenge

Catholic Education Diocese of Parramatta (CEDP) is an educational institution with 80 schools and 44,500 students across New South Wales. The institution holds a wealth of data on its students, from performance to attendance to demographics. However, CEDP lacked the internal resources to mine this data to improve student performance and advance operational goals. They sought a solution that could help them leverage this data to enhance student success and operations.

About Customer

Catholic Education Diocese of Parramatta (CEDP) is an educational institution that serves one of the fastest-growing areas of New South Wales with 80 schools across Western Sydney and the Blue Mountains. The institution is known for its innovative approach to education, offering highly successful trade training programs, vocational education and training programs across 26 sites, and a virtual School of Now. CEDP is committed to using innovation and new thinking to connect students to real-world opportunities. The institution holds a wealth of data on its students, from performance to attendance to demographics.

Solution

CEDP turned to DataRobot AI Cloud for automated machine learning. The platform stood out for its essential explainability, documentation, and the fact that, as a stand-alone platform, it would plug into CEDP’s existing data sources, mainly Alteryx. CEDP began applying AutoML to predicting achievement for students in their last year of high school. For that, CEDP could tap into more than a decade worth of data. DataRobot AI Cloud simplifies the entire lifecycle, from model preparation to building to monitoring. The platform runs through numerous models, enabling Dr. Varanasi and a small team of analysts to determine which one is the most effective.

Impact #1	CEDP can predict student achievement at around 94 percent accuracy. This gives teachers and administrators confidence in using those insights to help at-risk students, or guide others to meet or exceed their expected performance, or aid them in choosing the subjects where they’ll excel.
Impact #2	By predicting the students that might leave, CEDP takes action to encourage students to remain at CEDP schools, such as offering tuition assistance or other forms of support. With the help of these findings, the school reduced its attrition rate by about 13 percent.

Impact #1

CEDP can predict student achievement at around 94 percent accuracy. This gives teachers and administrators confidence in using those insights to help at-risk students, or guide others to meet or exceed their expected performance, or aid them in choosing the subjects where they’ll excel.

Impact #2

By predicting the students that might leave, CEDP takes action to encourage students to remain at CEDP schools, such as offering tuition assistance or other forms of support. With the help of these findings, the school reduced its attrition rate by about 13 percent.

Benefit #1	Reduced attrition rate by about 13% - retaining more than 100 students annually.
Benefit #2	Preserved around 1.2 million dollars by reducing attrition.
Benefit #3	Predicts student success with 94% accuracy.

Benefit #1

Reduced attrition rate by about 13% - retaining more than 100 students annually.

Benefit #2

Preserved around 1.2 million dollars by reducing attrition.

Benefit #3

Predicts student success with 94% accuracy.

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Overview

Australian Schools Boost Student Success, Reduce Attrition by 13% — with AI

Operational Impact

Quantitative Benefit