Predictors of social emotional learning in after‐school programming: The impact of relationships, belonging, and program engagement

Author:

Fisher Amy E.12ORCID,Johnson Liat R.1,Minnes Sonia1ORCID,Miller Emily K.3ORCID,Riccardi Jessica S.4ORCID,Dimitropoulos Anastasia1

Affiliation:

1. Schubert Center for Child Studies Case Western Reserve University Cleveland Ohio USA

2. Wisconsin Center for Education Research University of Wisconsin‐Madison Madison Wisconsin USA

3. Jack, Joseph and Morton Mandel School of Applied Social Sciences Case Western Reserve University Cleveland Ohio USA

4. Communication Sciences and Disorders The University of Maine Orono Maine USA

Abstract

AbstractAfter‐school youth development programs support social‐emotional functioning which leads to better academic and behavioral outcomes. This article examines three common predictors of social‐emotional functioning individually and concurrently to better understand the role of these predictors in the after‐school setting. The common predictors are staff/student relationships, sense of belonging, and program engagement. That data came from 144, 3rd through 8th grade, students across 9 different elementary and middle school sites who regularly attended a large youth development program. Regression analyses were run and the results indicated that each variable was an individually significant predictor of social‐emotional functioning. Results from multiple regression analyses demonstrated that there was a better model fit when including all three variables in the same model. Interestingly, the results indicated that program engagement was a strong predictor above and beyond staff/student relationships and sense of belonging on self‐management and self‐efficacy. Sense of belonging and program engagement both predicted social awareness. Implications of these findings for after‐school program planning and development are discussed.

Publisher

Wiley

Subject

Developmental and Educational Psychology,Education

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3