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Effects of a computer-assisted formative assessment intervention based on multiple-tier diagnostic items and different feedback types

机译:基于多层诊断项目和不同反馈类型的计算机辅助形成评估干预的效果

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摘要

Computer-assisted formative assessments with multiple-tier items are a valid instrument for diagnosing students' conceptual understanding in learning domains with well structured declarative knowledge (e.g. science education). However, it is unknown how feedback on multiple-tier items can improve learning success. Therefore, we assessed (1) predictors of students' perception and use of elaborated feedback, and (2) if feedback content (elaborated, verification, control) matters in explaining students' achievement in post- and retention tests. We developed computer-assisted formative tests for a teaching unit on evolutionary adaptations. Three treatment groups were employed with varying feedback content: Treatment 1 (T1) was an elaborated instruction-based feedback, T2 was a dichotomous verification feedback, and T3 (control) consisted of reading appropriate texts (no formative assessment and no feedback). Afterwards, T1 was separated into one subgroup with pupils who used the feedback thoroughly (T1A) and a subgroup that did not use the feedback (T1B). Ten secondary classrooms were used and 261 pupils participated in this study. Each student in each classroom was randomly assigned to one treatment group. Correlation and univariate regression analysis showed that perception and use of elaborated feedback were related to intrinsic motivation and self-reported grades. Multivariate analysis of covariance was applied to check treatment effects on post-tests and retention tests as dependent variables. Results revealed that verification feedback (T2) and elaborated feedback when students did use it (T1A) was superior to no feedback (T3) and elaborated feedback when students did not use it (T1B). Implications for the design of multiple-tier diagnostic assessments are discussed. (C) 2016 Elsevier Ltd. All rights reserved.
机译:具有多层项目的计算机辅助形成性评估是诊断学生在学习领域中具有良好结构化的陈述性知识(例如科学教育)的概念理解的有效工具。但是,关于多层项目的反馈如何提高学习成功率尚不清楚。因此,我们评估了(1)学生感知和精心设计的反馈的使用的预测因素,以及(2)反馈内容(精心设计,验证,控制)是否对解释学生在岗后和保留测试中的成绩至关重要。我们为进化适应的教学单位开发了计算机辅助的形成性测试。使用了三个处理组,它们的反馈内容各不相同:处理1(T1)是精心设计的基于指令的反馈,T2是二分式验证反馈,T3(对照)包括阅读适当的文本(无形成性评估且无反馈)。之后,将T1分为一个小组,其中的一个小组完全使用反馈(T1A),另一个小组不使用反馈(T1B)。使用了十个中学教室,有261名学生参加了这项研究。每个教室中的每个学生被随机分配到一个治疗组。相关性和单变量回归分析表明,精心设计的反馈的感知和使用与内在动机和自我报告的成绩有关。应用协方差的多变量分析来检查治疗对后测试和保留测试的影响作为因变量。结果显示,验证反馈(T2)和学生使用时的精心设计的反馈(T1A)优于无反馈(T3)和学生不使用时的精心设计的反馈(T1B)。讨论了多层诊断评估设计的含义。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Computers & education》 |2016年第4期|85-98|共14页
  • 作者单位

    Univ Educ Schwabisch Gmund, Inst Educ Res, Padag Hsch Schwabisch Gmund, Inst Erziehungswissensch, Oberbettringerstr 200, D-73525 Schwabisch Gmund, Germany;

    Univ Erlangen Nurnberg, Inst Sch Pedag, Lehrstuhl Sch Padag, Regensburger Str 160, D-90478 Nurnberg, Germany;

    Univ Educ Heidelberg, Padag Hsch Heidelberg, Inst Sci Educ, Inst Nat Wissensch Didakt Biol, Neuen Feld 561-2, D-69198 Heidelberg, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Formative assessment; Feedback; Computer-assisted testing; Science education; Secondary education;

    机译:形成性评估;反馈;计算机辅助测试;科学教育;中学教育;

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