Take Action! Use SEL Data to Create Tailored Interventions

We all know the saying: What’s assessed gets addressed. Social and emotional learning (SEL) data gives educators critical insight into why a student is struggling — information that traditional measures alone, such as attendance and behavior incidents, don’t provide.

Take action on your SEL data by using it to identify students who need additional supports, understand why they are struggling, and create a tailored intervention to meet their specific needs.

How This Works

A common practice many schools already utilize to take action on student data is weekly data meetings that combine a variety of data sources, including SEL, academic, attendance, and behavior incident data. Educators review this data and use it to identify a subset of students with the most need for improvement. They create a plan for these at-risk students to meet their individual needs and check for improvements each week.

By examining traditional data measures, such as attendance and behavior incidents, educators can begin to put together a plan for creating tailored interventions. SEL data is a critical addition to this process because it gives educators a better understanding of the whole child and sheds light on reasons why a particular student is struggling.

How This Looks

Say, for instance, that a student, Johnny, is always tardy or missing class. His grades are starting to slip and his teachers report that he is falling asleep at his desk. When the data team examines his social and emotional data, they learn that Johnny helps to support his family financially. He works late at night, and that is why he is so tired in school. The SEL data provides a much clearer picture of why Johnny is struggling and enables the data team to create an intervention that more effectively addresses the root cause of Johnny’s absence and poor grades.

In another example, Kira is failing social studies. She acts out during group projects and doesn’t cooperate with others. Teachers assume she just wants attention and isn’t motivated. But when the data team takes into account Kira’s social and emotional data, they discover that she lacks strong relationship skills and doesn’t have someone at home who provides academic support. This information leads the team to create an intervention to help Kira learn how to build strong relationships. They pair her with an older student mentor and reach out to her family to engage them in providing proper supports.

These are just two examples of how SEL data helps educators better understand why students are struggling. Educators can use SEL data alongside traditional academic measures to take action and create effective, individualized interventions. Not sure where to start with your program? Contact our SEL experts to learn more.

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