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多种因素交互影响农村儿童阅读能力的数据挖掘研究 被引量:3

Research on Rural Children’s Reading Ability of Multiple Factors Interactions Influence by Data Mining Approach
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摘要 [目的/意义]通过数据挖掘算法,揭示各种因素的内在交互性对农村儿童阅读能力的影响。[方法/过程]利用基于Apriori算法的关联规则挖掘方法和可视化技术,对广东省粤西方言区农村儿童的阅读现状进行了定量化分析。[结果/结论]网络流量费高、受方言影响、家长不鼓励、缺少亲子阅读机会等因素交互作用是导致农村儿童对阅读不感兴趣的主要原因。留守儿童在受家长鼓励、亲子阅读、阅读兴趣以及信息获取能力等方面的支持度显著低于非留守儿童,并且阅读兴趣更容易受方言和农忙因素的影响。农村儿童阅读能力低下是网络信息的获取能力、留守及农忙状态、方言影响等多种因素共同作用的结果。 [Purpose/significance]The paper uses the data mining approach, so as to reveal the intrinsic correlations among various factors that influence rural children’s reading abilities.[Method/process] The paper investigates the status of reading promotion in the rural children who speak Leizhou dialect in the west of Guangdong province via a quantitative analysis based on the Apriori algorithm and the visualization method. [Result/conclusion] The results show that the main reasons of lack interest in reading for the rural children are the interactions by multiple factors, including high cost of internet access, the effects of dialect, the discouragement from the parents, and the lack of parent-child reading chance. As compared to rural left-behind children, living-with-parents children receives less support from parents’ encouragement, parent-children reading, reading interest, and information accessibility and their reading interest are more influenced by dialect and farming busy seasons. These quantitative results show that rural children’s reading deficits are the result of interactions among various factors including the accessibility of internet information, the status of attendance, the background of native language, and the additional labor in the farming busy seasons.
作者 吴茵茵 Wu Yinyin(Library of South China Agricultural University,Guangzhou Guangdong 510642)
出处 《情报探索》 2020年第5期74-81,共8页 Information Research
基金 2016年中国图书馆学会阅读推广项目“阅读推广的网络影响力评价研究”(项目编号:YD2016B22) 2015年广东省图书馆学会科研项目“基于方言的农村儿童新媒体阅读推广研究”(项目编号:GDTK1541)成果.
关键词 农村留守儿童 方言 网络获取 阅读能力 数据挖掘 rural left-behind children dialect internet access reading ability data mining
作者简介 吴茵茵(1979—),女,硕士,副研究馆员,主要研究方向为计量学、多媒体研究等,发表论文17篇。
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