How data can drive your elementary intervention program
The most effective elementary intervention programs rely on data-driven decisions. Collecting and analyzing your students’ data positively impact their success. When deciding to implement a data-driven intervention program in your elementary school, educators must consider a few best practices before jumping right in.
Educators and administrators should work together to determine their goals for each grade level. These goals will impact how you test students, collect their scores, and implement change. Making-data driven decisions will boost the academic performance in your elementary school.
Determine your goals
Before implementing a data-driven math intervention program, educators must first establish their goals for each grade level. These goals will gauge student performance at a high level, making it easier to determine if a student falls behind.
Your goals should encompass every math concept you want your students to take away from the curriculum after completing the year. When creating these goals, you want to align them to the Common Core standards. Further, you will need to create individual learning objectives that feed into Common Core standards and your overarching goals.
Starting big and breaking goals down into individual milestones ensures that you keep your students on track. These smaller learning objectives allow teachers to quickly identify when a student falls behind and may need a math intervention.
Educators already collect mass amounts of data on their students but often do not know how to use it to their advantage. When it comes to implementing a data-driven elementary intervention program, educators must utilize this collected data to make informed decisions.
If a student falls behind, the data catches it first. Closely monitoring your students’ progress will allow you to make informed decisions regarding their math intervention. SpringMath allows teachers to easily monitor the progress of their students and will alert you when a student falls behind.
Educators must utilize the data collected to make changes to their intervention programs. Sometimes the material delivered did not effectively reach the student. Their score did not increase within the past week, and you need to dig back into a topic. Or maybe the student really excelled, and you should move into the next part of the math intervention program.
Without analyzing each individual student’s score, it can become difficult to feel confident in the lessons you deliver. SpringMath takes the guesswork out of your elementary intervention program. Our software analyzes the data from the previous week to generate next week’s intervention plan. You will always have the right content delivered to each student at the right time in their academic journey.