Student-centered instruction can build social–emotional skills and peer relations: Findings from a cluster-randomized trial of technology-supported cooperative learning.

心理信息 心理干预 心理学 忠诚 心理健康 随机对照试验 社交技能 应用心理学 医学教育 发展心理学 计算机科学 梅德林 心理治疗师 医学 外科 电信 精神科 政治学 法学
作者
Sabina Low,Mark J. Van Ryzin
出处
期刊:School psychology [American Psychological Association]
卷期号:39 (6): 672-681 被引量:16
标识
DOI:10.1037/spq0000589
摘要

Given the uneven track record of adjunctive social-emotional learning (SEL) programs and waning effects by middle and high school, we propose a more integrative approach to SEL through cooperative learning (CL). CL has demonstrated the ability to improve social-emotional, behavioral, academic, and mental health benefits, but CL lessons are complex and thus can be difficult to design and consistently deliver with fidelity. The present study attempted to address this barrier by examining the effects of technology-assisted CL on five social-emotional competencies, as well as social and behavioral outcomes. Participants were 813 students (50.2% female, N = 408, and 70.7% White, N = 575) from 12 middle and high schools in the Pacific Northwest in a cluster-randomized design where six intervention schools implemented technology-assisted CL and six control schools conducted business as usual. Using multilevel modeling, intervention effects on all outcomes after 1 year were significant, with moderate to large effect sizes, inviting further evaluation of integrative approaches to SEL that are developmentally aligned with the needs of students in secondary education. Although there remains a dearth of universal school-based interventions with demonstrated impacts on social outcomes in middle and high school, the present study builds support for the use of integrative, relationship-based instructional approaches, supported by technology, to promote positive peer relations, and social competencies for this age group. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
搜集达人应助chncng12采纳,获得10
1秒前
荷月初六发布了新的文献求助20
1秒前
1秒前
1秒前
流时完成签到,获得积分20
1秒前
1秒前
2秒前
3秒前
地球发布了新的文献求助10
3秒前
虎牛发布了新的文献求助10
3秒前
酶酶酶完成签到,获得积分10
4秒前
jay发布了新的文献求助30
4秒前
Jane发布了新的文献求助10
4秒前
4秒前
5秒前
5秒前
XQQDD应助双位循环采纳,获得10
6秒前
香蕉觅云应助和谐的亦旋采纳,获得20
6秒前
ssssss发布了新的文献求助10
6秒前
以恒之心发布了新的文献求助10
6秒前
晴栀发布了新的文献求助30
7秒前
科研通AI6.3应助Hhy1129采纳,获得30
7秒前
TMY发布了新的文献求助10
7秒前
7秒前
Carthusia完成签到 ,获得积分10
7秒前
科研通AI6.4应助小飞侠采纳,获得10
8秒前
lei发布了新的文献求助10
8秒前
Wu发布了新的文献求助10
8秒前
8秒前
Sea_U发布了新的文献求助10
8秒前
冷艳清炎完成签到,获得积分10
9秒前
9秒前
10秒前
10秒前
10秒前
李健应助虎牛采纳,获得10
11秒前
枕星河完成签到,获得积分10
11秒前
学术菜鸟完成签到,获得积分10
11秒前
song应助耍酷爆米花采纳,获得10
11秒前
斯文败类应助林寒采纳,获得10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443096
求助须知:如何正确求助?哪些是违规求助? 8257012
关于积分的说明 17584811
捐赠科研通 5501648
什么是DOI,文献DOI怎么找? 2900795
邀请新用户注册赠送积分活动 1877795
关于科研通互助平台的介绍 1717445