Making Data Easy in Classroom Settings (Standard)

Description

In many schools and clinical settings, staff report that they collect data frequently but aren’t sure what the data they collect are used for or how it leads to changes in student or client programming. At New Story Schools Ohio (formerly Haugland Learning Center), we focus on collecting and organizing data to maximize student progress and make sure staff who work with students directly are involved in the entire process. Three types of assessment are used to gain a clear picture of student performance: micro, meso, and macro. Classroom staff receive frequent coaching and feedback regarding instruction, assessment and data collection. In addition, meta analysis of all levels of classroom data is performed regularly. This presentation focuses on how data collection and analysis can be done easily and efficiently to ensure maximum student progress. Examples, challenges, and successes will be discussed.