摘要
本研究针对HSK听力考试的特点及当前听力词汇教学中存在的问题,构建基于词汇共现网络的教学模式。该模式下的教学过程包含三个阶段:第一阶段聚焦基础词汇教学,主要利用词义网络组织教学;第二阶段聚焦主题词汇教学;第三阶段依托学生的学习数据分析进行有针对性的突破性练习。采用词云图、共现网络图等可视化辅助工具,实现听觉和视觉的双通道输入以提升词汇教学效果。研究结果表明,该模式有助于学生更好地记忆词汇,能够运用在HSK听力词汇教学中并取得积极效果。
This study addresses the characteristics of the HSK listening test and the current issues in the listening vocabulary teaching,and investigates the construction of a teaching model based on a vocabulary co-occurrence networks.The teaching process based on this model consists of three stages:the first stage focuses on basic vocabulary teaching,mainly utilizing semantic networks for organizing teaching;the second stage concentrates on thematic vocabulary teaching;the third stage relies on targeted breakthrough exercises based on the analysis of students’learning data.Visual aids such as word colud maps and co-occurrence network graphs are employed to achieve dual-channel input from both auditory and visual perspectives,enhancing the effectiveness of vocabulary teaching.The research results indicate that this model helps students memorize vocabulary more effectively and is a feasible and efficient approach for teaching HSK listening vocabulary.
出处
《国际中文教育（中英文）》
2024年第1期22-29,共8页
International Chinese Language Education
基金
中央高校基本科研业务费专项资金北京语言大学院级项目“基于多元线性回归的留学生学习数据分析与预测研究成果”(项目编号:23YJ010301)研究成果。
关键词
HSK听力
词汇教学
数据挖掘
主题聚类
共现网络
HSK listening
vocabulary teaching
data mining
topic clustering
co-occurrence networks
