Simmons Deborah C, Kim Minjung, Kwok Oi-Man, Coyne Michael D, Simmons Leslie E, Oslund Eric, Fogarty Melissa, Hagan-Burke Shanna, Little Mary E, Rawlinson D'Ann
Texas A&M University, College Station, USA
Texas A&M University, College Station, USA.
J Learn Disabil. 2015 May-Jun;48(3):255-70. doi: 10.1177/0022219413497097. Epub 2013 Aug 1.
Despite the emerging evidence base on response to intervention, there is limited research regarding how to effectively use progress-monitoring data to adjust instruction for students in Tier 2 intervention. In this study, we analyzed extant data from a series of randomized experimental studies of a kindergarten supplemental reading intervention to determine whether linking performance on formative assessments to curriculum progression improved kindergarten reading outcomes over standard implementation. We were interested in whether specific progression adjustments would enhance the effects of supplemental reading intervention. Growth-mixture modeling using data from kindergarteners (n = 136) whose intervention progression (e.g. repeat lessons, skip lessons) was adjusted every 4 weeks based on mastery data identified four latent classes characterized by unique profiles of curriculum progression adjustments. Multilevel analyses comparing the performance of students in the four classes with that of propensity matched groups whose intervention was not adjusted (n = 101) indicated positive effects of curriculum progression for (a) students whose formative assessment performance exceeded 90% and received early and sustained lesson acceleration and (b) students who initially performed below 70% on assessments and who repeated early lessons and progressed to conventional implementation. Effects of curriculum adjustments for the two smallest groups were less clear.
尽管关于干预反应的证据基础不断涌现,但关于如何有效利用进展监测数据来调整二级干预中学生的教学,相关研究却很有限。在本研究中,我们分析了一系列幼儿园补充阅读干预随机实验研究的现有数据,以确定将形成性评估的表现与课程进展相联系,是否能比标准实施方式更有效地提高幼儿园阅读成绩。我们感兴趣的是,特定的进展调整是否会增强补充阅读干预的效果。利用来自幼儿园儿童(n = 136)的数据进行增长混合模型分析,这些儿童的干预进展(例如重复课程、跳过课程)每4周根据掌握情况数据进行调整,结果确定了四个潜在类别,其特点是课程进展调整的独特模式。多层次分析比较了这四个班级学生与倾向匹配的未调整干预组学生(n = 101)的表现,结果表明课程进展对以下两类学生有积极影响:(a)形成性评估表现超过90%且接受早期和持续课程加速的学生;(b)最初评估成绩低于70%、重复早期课程并逐步进入常规实施的学生。对两个最小组的课程调整效果不太明确。