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Data Analysis Superintendents Trust. Increase test scores and graduation rates through targeted efforts and investments that lead to student success Proactively.

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Presentation on theme: "Data Analysis Superintendents Trust. Increase test scores and graduation rates through targeted efforts and investments that lead to student success Proactively."— Presentation transcript:

1 Data Analysis Superintendents Trust

2 Increase test scores and graduation rates through targeted efforts and investments that lead to student success Proactively identify at-risk students through early identification of factors affecting performance Ensure compliance for state mandates and competitively contend for incentive programs based on academic performance Offer Professional Development opportunities in the area that has the biggest impact Spend less time aggregating and analyzing data Better budget allocation for curriculum based on textbook effectiveness report LearningAisle = Predictive Analytics for K-12 Learning Aisle TM All Rights Reserved LearningAisle Predictive Analytics for educational systems combines powerful analytical capabilities with a rich set of integrated data sourced from organizations like schools and districts. Built on an award-winning insight delivery platform, we provide the means to make the best use of resources and information at hand to drive education success. Administrators will have the ability to address the areas most in need of insight with three simple steps: CAPTURE, PREDICT & ACT Capture Predict Act Gather data you need from your systems, surveys, interviews, other data sources Build statistics models to predict the likelihood of academic success. Incorporate findings to your education systems. Insights are only useful when those who need it can understand easily and in timely manner. Highlights - Predictive Analytics

3 The LearningAisle Edge Learning Aisle TM All Rights Reserved LearningAisle leverages existing systems and data Our approach is to first understand the needs of the school or district, then help guide the organization to the appropriate technology. You may not need most expensive systems for school data and analysis. LearningAisle has found that many districts and schools rely on technology and tend to invest in software may not be necessary. We Have Experience with working with schools, districts, including university research institutes and non profit organizations Nearly 10 years of experience executing both quantitative and qualitative analysis, LearningAisle has been speaking directly with schools and school districts. We have interviewed administrators, teachers, parents through across various projects. As a result, LearningAisle has a deep understanding of education data, as well as its opportunities and unique challenges. Our leadership consists of accomplished professionals with significant experience in education industry. We have worked with some of the premier schools across multiple states. Our commitment is that our top people will work with you and for you directly. LearningAisle Provides In-Depth, Prescriptive Analysis and Reporting We believe data can be more than just spreadsheets or crosstabs, and strive to show patterns, trends and key findings through graphical reporting. In addition to delivering compelling and actionable reports, LearningAisle has a team of data processing experts who can execute various analyses and even link the analysis results to your internal database (e.g., data in school district level, state level, EdFacts)

4 What We Deliver Learning Aisle TM All Rights Reserved LarningAisle believes the presentation of data is a critical aspect of analytics that many companies fall short on. We pride ourselves on our advanced ability to visually depict findings and results so that you get insights that answer questions for school districts. Each report is tailored to meet the needs of our clients Our general report flow would look something like this: Analytics BackgroundResearch objectives, methodologies utilized, sample design, etc. Executive SummaryExecutive-level interpretation and analysis Summary of Research FindingsDetailed analysis of research results, including across key audiences or geographies, etc. Advanced AnalysisPresentation of key drivers, Strengths, Areas for improvement, benchmarking against other districts Detailed Research ResultsThe “bulk” of the report, records for each measurement (baseline metrics for EdFacts / perceptions,, open-ended feedback from students, teachers and parents, etc.) Firmographics & Respondent ProfileDetailed profile of individuals and organizations surveyed in the research (for survey projects) The ‘detailed research results’ represent the majority of the report, but we also provide unique “Report Cards” in the Summary of Findings that consolidate metrics for easy reference.

5 LearningAisle Analysis in Action Learning Aisle TM All Rights Reserved

6 School District in CA: Online Assignments and Test Score Increases Model Formula: Subject*( Avg. Online Assignments + intercept ) R-Squared: 0.621172 Standard error: 0.071145 p-value (significance): < 0.0001 Learning Aisle TM All Rights Reserved Enabled the district to increase budgets, better purchase decision backed up by data Better understanding in strengths/weaknesses of online courses Empowered BYOD implementation and flipping classroom Enabled the district to increase budgets, better purchase decision backed up by data Better understanding in strengths/weaknesses of online courses Empowered BYOD implementation and flipping classroom RESULTS

7 School District in FL: 4-Quadrant Decision Matrix for Curriculum Learning Aisle TM All Rights Reserved High Impact / High Usage Expand High Impact / Low Usage Leverage More Low Impact / High Usage Investigate Low Impact / Low Usage No Immediate Action Clear understanding in which textbook helps student academic performance Improved textbook evaluation process Enabled the district leadership to run predictive analysis for test score increase Saved budgets by aligning PD opportunities and technology initiatives Clear understanding in which textbook helps student academic performance Improved textbook evaluation process Enabled the district leadership to run predictive analysis for test score increase Saved budgets by aligning PD opportunities and technology initiatives RESULTS

8 www.LearningAisle.com To learn more about LearningAisle’s predictive analytics for education, contact us at support@learningaisle.com Learning Aisle TM All Rights Reserved Data Analysis Superintendents Trust


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