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Measuring incremental changes in word knowledge: Experimental validation and implications for learning and assessment

机译:测量单词知识的增量变化:实验验证以及对学习和评估的启示

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摘要

The goal of this study was to test a new technique for assessing vocabulary development. This technique is based on an algorithm for scoring the accuracy of word definitions using a continuous scale (Collins-Thompson & Callan, 2007). In an experiment with adult learners, target words were presented in six different sentence contexts, and the number of informative versus misleading contexts was systematically manipulated. Participants generated a target definition after each sentence, and the definition-scoring algorithm was used to assess the degree of accuracy on each trial. We observed incremental improvements in definition accuracy across trials. Moreover, learning curves were sensitive to the proportion of misleading contexts, the use of spaced versus massed practice, and individual differences, demonstrating the utility of this procedure for capturing specific experimental effects on the trajectory of word learning. We discuss the implications of these results for measurement of meaning, vocabulary assessment, and instructional design.
机译:这项研究的目的是测试一种评估词汇发展的新技术。该技术基于一种使用连续量表对单词定义的准确性进行评分的算法(Collins-Thompson&Callan,2007)。在针对成年学习者的实验中,目标词在六个不同的句子上下文中显示,并且信息性和误导性上下文的数量得到了系统地操纵。参与者在每个句子之后生成目标定义,并且使用定义评分算法来评估每个试验的准确性。我们观察到整个试验中清晰度的提高。此外,学习曲线对误导性情境的比例,间隔练习与大众练习的使用以及个体差异很敏感,这表明该程序可用于捕获对单词学习轨迹的特定实验效果。我们讨论了这些结果对意义测量,词汇评估和教学设计的影响。

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