

Sign Up & Save 10% | Learn More
In matters of social–emotional learning (SEL), data-driven instruction enhances educators’ ability to reach their students. As we all know, education is not just about helping your students achieve good grades and get into good colleges. It’s also about the knowledge they take with them when they leave school, the lessons they learn about good citizenship.
And that calls for statistical reinforcement.
We’ve written about SEL at length before, and for good reason. As a learning method focused on managing emotions and improving social interactions, SEL is vital for the future. In that respect, teachers should look to data to inform their SEL pedagogy. So how do you make the most of data-driven SEL instruction?
Classrooms are becoming more and more diverse. For many children, their classroom is the first place they are exposed to others with different backgrounds, beliefs, cultures, and abilities. With the right instruction, students can leave this diverse classroom environment more empathetic and socially conscious. That’s what SEL can achieve.
In studying SEL, students become more aware of the way they treat those around them and why. SEL teaches children to recognize their emotions and manage them in a healthy way, reducing conflict and allowing for more understanding. Advanced SEL takes that a step further by considering the student’s unique background. Not all students come at socialization and emotions from the same angle, so there is no one-rule-fits-all. To truly teach SEL, educators must understand the individual student.
Data-driven instruction takes into account the evidence and data that teachers gather about students as they get to know them and then incorporates that information into their SEL method. It requires an individualized approach to SEL that may involve more upfront work for educators, but is far more effective for students.
For instance, maybe one student struggles with anxiety more than other students in your class. That student may need more help reframing their anxious thoughts in order to manage their emotions.
The Collaborative for Academic, Social, and Emotional Learning (CASEL) vouches for this evidence-based type of SEL and states that it is “one of the key strategies for providing consistent SEL opportunities for all students.” Data collection should be one of the first steps involved in any attempt at SEL. It can help to identify historically marginalized students, determine the type of support students need, as well as monitor and track their progress.
Data doesn’t have to be all spreadsheets and formal reports, and it certainly shouldn’t be disconnected from what you’re already doing in the classroom. In many ways, data collection is just an intentional way of getting to know students better. A few ways that educators can collect data on students for the purposes of SEL include:
Teachers spend a significant part of the year with their students. It can be immensely beneficial to watch students’ behaviors and briefly note anything you think might impact their social and emotional learning.
SEL is a multilayered learning method. After all, emotions can be complex, and understanding social behavior requires quite a bit of context. There are five key pillars to teaching SEL. These pillars can all be improved upon with data-driven instruction.
To learn additional strategies for helping students develop greater social–emotional health, check out these professional development courses from Advancement Courses:
Advancement Courses offers more than 280 online, self-paced PD courses opens in new window covering both foundational topics and emerging trends in K–12 education. Courses are available for both graduate and continuing education credit for your salary advancement or recertification needs.
Choose from 280+ online, self-paced continuing education courses for teacher salary advancement and recertification. Available for either CEU/clock hours or in partnership with regionally-accredited universities for graduate credit.
Browse Courses