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测量词汇知识的增量变化:实验验证及其对学习和评估的启示

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

作者信息

Frishkoff Gwen A, Collins-Thompson Kevyn, Perfetti Charles A, Callan Jamie

机构信息

University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

出版信息

Behav Res Methods. 2008 Nov;40(4):907-25. doi: 10.3758/BRM.40.4.907.

Abstract

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.

摘要

本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(柯林斯 - 汤普森和卡伦,2007年)。在一项针对成年学习者的实验中,目标单词呈现在六种不同的句子语境中,信息性语境与误导性语境的数量被系统地操纵。参与者在每个句子后生成一个目标定义,并使用定义评分算法来评估每次试验的准确程度。我们观察到各次试验中定义准确性的逐步提高。此外,学习曲线对误导性语境的比例、间隔练习与集中练习的使用以及个体差异敏感,证明了该程序在捕捉对单词学习轨迹的特定实验效应方面的效用。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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