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Analytics for Good: Predicting Secondary Education Attainment with Text Analytics

机译:善用分析:使用文字分析预测中学程度

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Factors influencing secondary educational attainment (staying in high school) are well characterized, but several shortcomings of current educational attainment theory preclude a real-time and wide-scope understanding of the issue. Further insight could be provided by text analytic technology. In this article, the authors review the current status of secondary educational attainment and its associated theories, and identify areas of weakness which could be reinforced by adopting text analytic research methods. The authors conclude with a discussion of potential applications of text analytic research within school systems aimed at equipping educators and counselors with additional resources to more accurately pinpoint intervention efforts.
机译:影响中学教育程度(在高中留学)的因素已得到很好的描述,但是当前的教育程度理论存在一些缺陷,无法对问题进行实时和广泛的理解。文本分析技术可以提供进一步的见解。在本文中,作者回顾了中学教育程度及其相关理论的现状,并确定了可以通过采用文本分析研究方法来加强的薄弱环节。作者最后讨论了文本分析研究在学校系统中的潜在应用,旨在为教育者和辅导员提供更多资源,以更准确地确定干预工作。

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