探讨短周期学校改善计划与表现欠佳学校学生成绩的关系

Bryan A. VanGronigen, C. Meyers
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引用次数: 1

摘要

一些政府要求在表现不佳的学校工作的教育领导者制定学校改进计划(SIPs)来指导变革工作。现有的研究描述了两种常见的sip方法:(a)“传统”方法,领导者为整个学年制定单一计划;(b)“短周期”方法,领导者在一学年制定两个计划(例如,每个学期一个计划)。尽管具有广泛的吸引力,但令人惊讶的是,对sip及其对相关结果的影响进行的研究很少。几乎所有的研究都调查了传统的方法,没有发表的研究检查短周期sip对感兴趣的结果(例如,学生成绩)的潜在影响。针对这些差距,本研究的目的是探讨短周期SIP质量与学生英语/语言艺术(ELA)和数学成绩之间的潜在联系。我们使用一个公开可用的标准对12个规划领域的389个短周期SIP进行评分,然后采用相关设计来检查短周期SIP质量与学生成绩之间的潜在关系。结果表明,短周期的SIP质量随着时间的推移而提高,但尽管短周期SIP质量的提高与学生成绩的提高之间存在很小的正相关关系,但没有统计学上显著的影响。考虑到影响学生学习的因素的数量,这些结果并不令人惊讶,但仍然令人鼓舞。最后,我们讨论了教育领导者如何需要培训,以最好地利用短周期方法,以及未来的研究工作如何继续为学校改进规划方法的稀疏但不断增长的知识库做出贡献。
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Exploring the Association Between Short-cycle School Improvement Planning and Student Achievement in Underperforming Schools
Some governments require that educational leaders working in underperforming schools create school improvement plans (SIPs) to guide change efforts. Extant research describes two common approaches to SIPs: (a) a “traditional” approach where leaders create a single plan for an entire academic year, and (b) a “short-cycle” approach where leaders create two plans during an academic year (e.g., one for each semester). Despite widespread appeal, surprisingly little research has been conducted on SIPs and their influence on outcomes of interest. Nearly all studies investigate the traditional approach, and no published studies examine the potential influence of short-cycle SIPs on outcomes of interest (e.g., student achievement). In response to these gaps, the purpose of this study was to explore potential associations between short-cycle SIP quality and student achievement in English/language arts (ELA) and mathematics. We used a publicly available rubric to score 389 short-cycle SIPs on 12 planning domains and then employed a correlational design to examine potential relationships between short-cycle SIP quality and student achievement. Results concluded that short-cycle SIP quality increased over time, but despite small, positive relationships between increased short-cycle SIP quality and increased student achievement, there were no statistically significant impacts. Given the number of factors found to influence student learning, these results are unsurprising, but nevertheless encouraging. We close by discussing how educational leaders might need training to best leverage the short-cycle approach and how future research efforts can continue contributing to a sparse, but growing knowledge base on school improvement planning approaches.
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