
Attribute 7.3
Program data
Model: A variety of school/program level student data on STEM performance (from test scores to work samples) is available monthly to administrators and teachers, and is used to inform instructional decisions and programmatic decisions throughout the year.
Teachers conduct formative assessments each day collecting data to drive instruction. Teachers also collect and have access to data through a variety of sources such as rubrics, IXL Math, AIMSWeb, Kahoot!,and Benchmark exams. This information is used during weekly PLCs to drive instruction and plan. Teachers can organize small groups based on skill level for either intervention or enrichment. The principal and instructional coach also analyze the data to identify strengths and opportunities for growth in the subgroups in the classroom. The teachers, principal, and instructional coach participate in a monthly PLC to make or review instructional decisions based on the data.
Teachers and the principal also review EVAAS data to analyze student learning. This past year it was evident that our higher students were not making growth, so we addressed strategies - such as meeting with the Academically and Intellectually Gifted teacher, to support those students. Analyzing the data and knowing where our students are as learners, understanding where they need to go, and providing them support by embracing the 4C’s Superskills (critical thinking, collaboration, connections, and communication) ensures student learning.
This year, we have implemented student surveys to collect data on our STEM program. Information gathered from these surveys will help us determine how to improve our STEM program and better serve our students.
These are two examples of anecdotal notes taken by teachers in the subject areas of math and science.


