汉语词汇智能学习的顺序推荐策略

2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2020-07-01 DOI:10.1109/icalt49669.2020.00079

Miao Yu, Lei Wang

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引用次数: 1

摘要

本研究的目的是在移动设备支持的初级汉语词汇学习系统(ECVLS)中实施一种新的顺序推荐策略，并评估其对学习的影响。实验结果表明，在ECVLS的支持下，单词水平、词频和单词关系相结合的策略可以有效地影响词汇学习。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Sequential Recommendation Strategy for the Intelligent Learning of Chinese Vocabulary

The purposes of this study are to implement a new sequential recommendation strategy in a mobile-device supported Elementary Chinese Vocabulary Learning System (ECVLS) and evaluate its effect upon the learning. Experiment results appeared that the strategy combining with word levels, word frequencies and word relations can make an effective impact on the vocabulary learning with the support of ECVLS.

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2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT)

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