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减少学龄学生挑战性行为的自我管理干预措施:一项系统综述。

Self-management interventions for reducing challenging behaviors among school-age students: A systematic review.

作者信息

Smith Tyler E, Thompson Aaron M, Maynard Brandy R

机构信息

Department of Educational, School, & Counseling Psychology, Missouri Prevention Science Institute University of Missouri Columbia Missouri USA.

School of Social Work, Missouri Prevention Science Institute University of Missouri Columbia Missouri USA.

出版信息

Campbell Syst Rev. 2022 Mar 7;18(1):e1223. doi: 10.1002/cl2.1223. eCollection 2022 Mar.

Abstract

BACKGROUND

Challenging classroom behaviors can interfere with student social and academic functioning and may be harmful to everyone in schools. Self-management interventions within schools can address these concerns by helping students develop necessary social, emotional, and behavioral skills. Thus, the current systematic review synthesized and analyzed school-based self-management interventions used to address challenging classroom behaviors.

OBJECTIVES

The current study aimed to inform practice and policy by (a) evaluating the effectiveness of self-management interventions at improving classroom behaviors and academic outcomes and (b) examining the state of research for self-management interventions based on existing literature.

SEARCH METHODS

Comprehensive search procedures included electronically searching online databases (e.g., EBSCO Academic Search Premier, MEDLINE, ERIC, PsycINFO), hand-searching 19 relevant journals (e.g., , ), reference-list searching 21 relevant reviews, and searching gray literature (e.g., contacting authors, searching online dissertation/theses databases and national government clearinghouses/websites). Searches were completed through December of 2020.

SELECTION CRITERIA

Included studies employed either a multiple group-design (i.e., experimental or quasi-experimental) or single-case experimental research design and met the following criteria: (a) utilized a self-management intervention, (b) conducted in a school setting, (c) included school-aged students, and (d) assessed classroom behaviors.

DATA COLLECTION AND ANALYSIS

Standard data collection procedures expected by the Campbell Collaboration were used in the current study. Analyses for single-case design studies incorporated three-level hierarchical models to synthesize main effects, and meta-regression for moderation. Further, robust variance estimation was applied to both single-case design and group-design studies to account for dependency issues.

MAIN RESULTS

Our final single-case design sample included 75 studies, 236 participants, and 456 effects (i.e., 351 behavioral outcomes and 105 academic outcomes). Our final group-design sample included 4 studies, 422 participants, and 11 total behavioral effects. Most studies occurred in the United States, in urban communities, in public schools, and in elementary settings. Single-case design results indicated that self-management interventions significantly and positively impacted both student classroom behaviors (LRRi = 0.69, 95% confidence interval [CI] [0.59, 0.78]) and academic outcomes (LRRi = 0.58, 95% CI [0.41, 0.76]). Single-case results were found to be moderated by student race and special education status, whereas intervention effects were more pronounced for African American students ( = 5.56,  = 0.02) and students receiving special education services ( = 6.87,  = 0.01). Single-case results were not found to be moderated by intervention characteristics (i.e., intervention duration, fidelity assessment, fidelity method, or training). Despite positive findings for single-case design studies, risk of bias assessment indicated methodological shortcomings that should be considered when interpreting findings. A significant main effect of self-management interventions for improving classroom behaviors was also revealed for group-design studies ( = 0.63, 95% CI [0.08, 1.17]). However, these results should be interpreted with caution given the small number of included group-design studies.

IMPLICATIONS FOR POLICY PRACTICE AND RESEARCH

The current study, conducted using comprehensive search/screening procedures and advanced meta-analytic techniques, adds to the large amount of evidence indicating that self-management interventions can be successfully used to address student behaviors and academic outcomes. In particular, the use specific self-management elements (i.e., self-determining a performance goal, self-observing and recording progress, reflecting on a target behavior, and administering primary reinforcers) should be considered within current interventions as well as in the development of future interventions. Future research should aim to assess the implementation and effects of self-management at the group or classroom-level within randomized controlled trials.

摘要

背景

具有挑战性的课堂行为会干扰学生的社交和学业表现,可能对学校中的每个人都有害。学校内部的自我管理干预措施可以通过帮助学生培养必要的社交、情感和行为技能来解决这些问题。因此,本系统评价综合并分析了用于解决具有挑战性的课堂行为的校本自我管理干预措施。

目的

本研究旨在通过以下方式为实践和政策提供信息:(a)评估自我管理干预措施在改善课堂行为和学业成果方面的有效性;(b)根据现有文献审查自我管理干预措施的研究现状。

搜索方法

全面的搜索程序包括在线电子搜索数据库(如EBSCO学术搜索高级版、MEDLINE、教育资源信息中心、心理学文摘数据库),手工搜索19种相关期刊(如《 》),参考文献列表搜索21篇相关综述,以及搜索灰色文献(如联系作者、搜索在线学位论文数据库和国家政府信息中心/网站)。搜索截至2020年12月完成。

入选标准

纳入的研究采用多组设计(即实验性或准实验性)或单病例实验研究设计,并符合以下标准:(a)采用自我管理干预措施;(b)在学校环境中进行;(c)包括学龄学生;(d)评估课堂行为。

数据收集与分析

本研究采用了坎贝尔协作组织期望的标准数据收集程序。单病例设计研究的分析采用三级分层模型来综合主效应,并进行元回归以进行调节分析。此外,稳健方差估计应用于单病例设计和组设计研究,以解决依赖性问题。

主要结果

我们最终的单病例设计样本包括75项研究、236名参与者和456个效应(即351个行为结果和105个学业结果)。我们最终的组设计样本包括4项研究、422名参与者和11个总的行为效应。大多数研究发生在美国的城市社区、公立学校和小学环境中。单病例设计结果表明,自我管理干预措施对学生的课堂行为(LRRi = 0.69,95%置信区间[CI][0.59,0.78])和学业成果(LRRi = 0.58,95% CI[0.41,0.76])均有显著的积极影响。发现单病例结果受学生种族和特殊教育状况的调节,而干预效果在非裔美国学生( = 5.56, = 0.02)和接受特殊教育服务的学生中更为明显( = 6.87, = 0.01)。未发现单病例结果受干预特征(即干预持续时间、保真度评估、保真度方法或培训)的调节。尽管单病例设计研究有积极结果,但偏倚风险评估表明在解释结果时应考虑方法学上的缺点。组设计研究也显示自我管理干预措施在改善课堂行为方面有显著的主效应( = 0.63,95% CI[0.08,1.17])。然而,鉴于纳入的组设计研究数量较少,这些结果应谨慎解释。

对政策实践和研究的启示

本研究采用全面的搜索/筛选程序和先进的元分析技术,补充了大量证据,表明自我管理干预措施可成功用于解决学生行为和学业成果问题。特别是,在当前的干预措施以及未来干预措施的开发中,应考虑使用特定的自我管理要素(即自我确定绩效目标、自我观察和记录进展、反思目标行为以及给予主要强化物)。未来的研究应旨在评估随机对照试验中小组或课堂层面自我管理的实施情况和效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fcf/8902300/f3171213c9c0/CL2-18-e1223-g004.jpg

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