Children’s attitudes towards, and frequency of recreational reading influence their reading skill level. The aim of this study was to determine the relative influence of research-supported intrinsic and extrinsic variables that can shape this attitude and practice, and to investigate the use of artificial neural network as an adjunct approach in such analysis. Data from 997 Australian students in primary Years 4 and 6 were analysed to examine the influence of 10 variables on reading frequency and attitudes. Data were subject to analysis using artificial neural network, binomial logistic regression and linear regression. The results from the three methods of analysis indicate that library visitation, perception of importance and early literacy are the top three ranked variables in artificial neural network, with all three also significant (p < .001) in binomial logistic regression and linear regression. Providing students regular opportunity for library visitation may be a valuable intervention for educators and parents seeking to enhance children’s reading frequency and attitudes.

中文翻译：

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外在和内在变量对儿童阅读频率和态度的影响：基于人工神经网络的探索

儿童对休闲阅读的态度和频率会影响他们的阅读技能水平。本研究的目的是确定可以塑造这种态度和实践的研究支持的内在和外在变量的相对影响，并调查在这种分析中使用人工神经网络作为辅助方法。分析了来自 997 名澳大利亚小学 4 年级和 6 年级学生的数据，以检查 10 个变量对阅读频率和态度的影响。使用人工神经网络、二项逻辑回归和线性回归对数据进行分析。三种分析方法的结果表明，图书馆访问量、重要性感知和早期识字率是人工神经网络中排名前三的变量，这三者也都显着（p < . 001) 在二项逻辑回归和线性回归中。为学生提供定期访问图书馆的机会对于寻求提高儿童阅读频率和态度的教育者和家长来说可能是一种宝贵的干预措施。