Data Analysis

Last November, our data analysis /mining technology (Pearson Inform) added a key component to its offering – an Academic Intervention Plan feature for planning individualize and group instruction. Inform is an analysis tool designed for measuring and comparing student, class, and school performance data to help develop improvement plans. It captures data from student information systems, assessments, and dataPearson warehouses to generate reports and provide comparative and longitudinal data.

The new features for developing intervention plans, through the Academic Intervention Plan feature, are designed “for any group of students who need instruction outside of the regular academic program, such as remediation activities for struggling students or enrichment academics for gifted students,” according to Pearson. “With this new feature, Pearson Inform now fully supports the Response to Intervention (RTI) framework and helps school districts meet state and federal mandates and reporting requirements.”

While features and updates may provide incentives to purchase or renew licenses for these types of technologies, the real “litmus” test for districts to consider is how these systems can integrate both district and classroom level assessments. The power of data warehousing and analysis is fully realized this way so districts can compare more than just standardized test scores. Additionally, trend data is only as useful as the data that is being analyzed. Our district discovered that it did not have purposeful data and our technology department has been working to “clean up” some of the “bad” data. The process of doing this is not as simple as just clicking a button either. It is important to note that all the various systems that plug into the data warehouse needs to have good data – standards and best practices should be utilized. If not, the data will continue to multiple and it will become a greater challenge to be able to correct data integrity issues.