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An Effective Approach of Evaluating Cognitive Weight and Equivalent Distribution of Programming Problems

机译:评估认知体重和等效分布的编程问题的有效方法

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Equal distribution of programming problems among the students is so significant during the examination within limited times. But how could we determine that how student feels about whether a given program is either easy or difficult? So Complexity measurement according to their brain thinking capability is necessary. In this article, we have improved the approach of complexity measurement procedure that gives us more accurate value of cognitive weight which contract the constraints of existing measures. The idea of cognitive weight of any basic control structure is ethically based on the logical capacity of the human brain. As per our cognitive data gathering from various level of students, we have built up a new software tool using Java Standard Edition and MySQL for equivalent distribution of programming problems dependent on our developed algorithm. The problems is categorized according to three difficulty level (simple, medium, hard) for each level of students. This will help instructor allocate problems while maintaining an equivalent level of problems for students.
机译:在有限的时间内考试期间,学生中的编程问题的平等分发是如此重要。但我们如何确定学生如何感受到给定的程序是否容易或困难?因此,需要根据其大脑思维能力进行复杂性测量。在本文中,我们改进了复杂性测量程序的方法,使我们提供了更准确的认知重量的价值,签订了现有措施的约束。任何基本控制结构的认知重量的想法是基于人脑的逻辑容量的道德。根据我们的认知数据从各种级别的学生收集,我们已经建立了一个新的软件工具,使用Java标准版和MySQL依赖于我们发达算法的编程问题的等效分布。这些问题根据每个级别的学生三个难度级别(简单,中,艰难)分类。这将有助于教练分配问题,同时保持对学生的等效问题。

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