TOPIC

Supporting students’ social-emotional, mental & physical health

Social Emotional Health

There is increasing recognition among educators, researchers, policymakers, and the broader public that schools should play a role in students’ mental, physical, and social-emotional health.

This “whole child” approach is designed to ensure that all students in California, particularly those who are historically underserved, have the opportunities and supports they need to thrive academically, socially and emotionally, and in college, career, and life.

A key part of PACE’s research in this area is driven by the CORE Districts’ surveys of students in grades 4-12 on their school’s culture and climate (CC) and their own social-emotional learning (SEL), including growth mindset, self-management, self-efficacy, and social awareness. Our work aimed to better understand SEL/CC measurement and to provide guidance for how schools can better serve students needs in this area. 

Recent Topic Publications
Possibilities and Challenges: Conditions Shaping Educators’ Use of Social–Emotional Learning Indicators
Conditions Shaping Educators’ Use of Social-Emotional Learning Indicators
Researchers have amassed considerable evidence on the use of student performance data (e.g., benchmark and standardized state tests) to inform educational improvement, but few have examined the use of nonacademic indicators (e.g., indicators of…
The Impact of Unmotivated Questionnaire Respondents on Data Quality
Education researchers use surveys widely. Yet critics question respondents’ ability to provide high-quality responses. As schools increasingly use student surveys to drive policymaking, respondents’ (lack of) motivation to provide quality responses…
Evidence from California’s CORE School Districts
While the importance of social-emotional learning for student success is well established, educators and researchers have less knowledge and agreement about which social-emotional skills are most important for students and how these skills…
This paper illustrates the application of mixture IRT models to evaluate the possibility of respondent confusion due to the negative wording of certain items on a social-emotional learning (SEL) assessment. Using actual student self-report ratings…