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Using Optimally Selected Drill Practice to Train BasicFacts

机译:使用最佳选择的练习练习来训练基本事实

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摘要

How to best sequence instruction in a collection of basic facts is a problem often faced by intelligent tutoring systems. To solve this problem, the following work details two tests of a system to provide drill practice (test trials with feedback) for foreign language vocabulary learning using a practice schedule determined to be optimal according to a cognitive model. In the first test, students chose between an optimized version and a version that merely cycled the vocabulary items. Examination of the time on task data revealed a preference for practice based on the decisions of the cognitive model. In the second test, the system was used to train the component parts of Chinese characters and measure the transfer of knowledge to subsequent learning of Chinese characters. Chinese character learning was improved for students with the relevant optimized training.
机译:如何在一系列基本事实中最好地对指令进行排序是智能补习系统经常面临的问题。为解决此问题,以下工作详细介绍了一个系统的两次测试,该系统使用根据认知模型确定为最佳的练习时间表为外语词汇学习提供演练练习(带有反馈的测试试验)。在第一次测试中,学生在优化版本和仅循环词汇项目的版本之间进行选择。对任务数据的时间检查显示,基于认知模型的决策,他们倾向于练习。在第二个测试中,该系统被用来训练汉字的组成部分,并测量知识向汉字后续学习的转移。通过相关的优化培训,汉字学习得到了改善。

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