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Connecting the Gap Between Formal and Informal Attributes Within Formal Learning with Data Mining Techniques

机译:用数据挖掘技术在正式学习中的正式和非正式属性之间的差距

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Formal and informal attributes are two distinct forms of learning which famed on the basis of the learning content, by where, when, and how learning happened. Formal attributes is a traditional learning which has official course work which should be completed in specified time. This study aimed at evaluating the challenges that students face while working for achieving good grades in exams. Data mining techniques are used to identify the challenges. The methods of collection working in this study were qualitative which involved testing and comparing.
机译:正式和非正式的属性是在学习内容的基础上,在学习的基础上,在何时,何地,以及学习如何发生的基础上,是两种不同的学习形式。正式属性是一个传统学习,具有官方课程工作,应在指定时间内完成。本研究旨在评估学生面临的挑战,同时在考试中实现良好成绩。数据挖掘技术用于识别挑战。本研究中的收集方法是涉及测试和比较的定性。

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