Predicting Robust Vocabulary Growth from Measures of Incremental Learning.
Predicting Robust Vocabulary Growth from Measures of Incremental Learning.
复制标题
DOI：
10.1080/10888438.2011.539076
复制
发表时间：
2011-01-01
期刊：
影响因子：
--
通讯作者：
Collins-Thompson K
中科院分区：
文献类型：
--
作者：
Frishkoff GA;Perfetti CA;Collins-Thompson K
我们报告了一项研究，增量学习的新单词的含义在多个事件。一种名为梅萨（Markov Estimation of Semantic Association）的新方法通过自动评估学习者生成的定义来跟踪这种学习。多个单词学习情节在句子提供的上下文约束的强度、这种约束的一致性以及为每个训练单词提供的句子间距方面有所不同。阅读技能的影响也进行了检查。结果表明，梅萨分数增加，每一个单词学习的遭遇。梅萨增长曲线受上下文限制、练习间隔和阅读技能的影响。最重要的是，参与者在学习过程中的反应（梅萨分数）的准确性预测了哪些单词将在1周内保留。这些结果支持的想法，单词学习是渐进的，知识的部分收益取决于上下文和学习者的属性。梅萨的引入为测试词汇学习理论和影响词汇知识增长的复杂因素提供了新的机会。
We report a study of incremental learning of new word meanings over multiple episodes. A new method called MESA (Markov Estimation of Semantic Association) tracked this learning through the automated assessment of learner-generated definitions. The multiple word learning episodes varied in the strength of contextual constraint provided by sentences, in the consistency of this constraint, and in the spacing of sentences provided for each trained word. Effects of reading skill were also examined. Results showed that MESA scores increased with each word learning encounter. MESA growth curves were affected by context constraint, spacing of practice, and reading skill. Most important, the accuracy of participant responses (MESA scores) during learning predicted which words would be retained over a 1-week period. These results support the idea that word learning is incremental and that partial gains in knowledge depend on properties of both the context and the learner. The introduction of MESA presents new opportunities to test word-learning theories and the complex factors that affect growth of word knowledge over time and in different contexts.
登录
查看更多内容
影响因子：
3.7
作者：
Reichle, ED;Perfetti, CA
通讯作者：
Perfetti, CA
影响因子：
8.2
作者：
SCHMIDT, RA;BJORK, RA
通讯作者：
BJORK, RA
影响因子：
4.3
作者：
DANEMAN, M;GREEN, I
通讯作者：
GREEN, I
影响因子：
1.5
作者：
Frishkoff, Gwen A.;Perfetti, Charles A.;Collins-Thompson, Kevyn
通讯作者：
Collins-Thompson, Kevyn
影响因子：
3.7
作者：
Landauer, Thomas K.;Kireyev, Kirill;Panaccione, Charles
通讯作者：
Panaccione, Charles