Dimensions of Classroom-Based Assessments in Inclusive Education

Jana Jungjohann, Markus Gebhardt
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引用次数: 3

Abstract

Inclusive education aims to provide learning progress for all. It requires assessments to identify learning levels and progress and to adapt and evaluate instruction. We extend the classroom-based assessment (CBA) approach and argue that CBA in inclusive schools consists of the four dimensions of Instructional Decision-Making, Educational Assessment, Identification of Students with Special Educational Needs, and Progress Monitoring. For this paper, we developed both a framework of CBA for research interests and individual scales for each dimension (6 to 9 items per scale) in order to identify the four dimensions in which teachers need further training. To create a more manageable instrument for education and training practice, we tested a combined model as a questionnaire. In a survey of 110 teachers and 152 pre-service special education teachers (N = 252), the individual scales had good internal consistency (α = .92, .82, .92, .93). Using Confirmatory Factor Analysis, an initial combined model, consisting of the revised individual scales, showed acceptable fit values (CFI = 0.94, TLI = 0.89, RMSEA = 0.07, SRMR = 0.06) almost everywhere. The further development of the questionnaire and its significance and relevance for inclusive educational practice will be discussed.
全纳教育课堂评估的维度
全纳教育旨在为所有人提供学习进步。它需要评估来确定学习水平和进步,并适应和评估教学。本文对基于课堂的评估方法进行了扩展,认为全纳学校的基于课堂的评估包括教学决策、教育评估、特殊教育需要学生识别和进度监测四个维度。在本文中,我们为研究兴趣开发了一个CBA框架,并为每个维度开发了单独的量表(每个量表6 - 9个项目),以确定教师需要进一步培训的四个维度。为了为教育和培训实践创造一个更易于管理的工具,我们以问卷的形式测试了一个组合模型。在对110名教师和152名职前特殊教育教师(N = 252)的调查中,个体量表具有较好的内部一致性(α = 0.92, 0.82, 0.92, 0.93)。使用验证性因子分析,由修订的个体量表组成的初始组合模型几乎在所有地方显示出可接受的拟合值(CFI = 0.94, TLI = 0.89, RMSEA = 0.07, SRMR = 0.06)。问卷的进一步发展及其对全纳教育实践的意义和相关性将被讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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