Analysis of Definite Integral Material Topics for Improve Student Learning Using Apriori Algorithm

Pub Date : 2021-01-18 DOI:10.31289/JITE.V4I2.4316
N. Dharshinni
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引用次数: 1

Abstract

Definite Integral is one of the most important subjects in calculus. The use of integrals that must be studied is calculating the area and drawing curves based on the equation of functions. However, there are still many students have difficult to understand integral material, especially definite integral. Most students have difficult to understand Integral learning because they do not understand the basic and  material that needs to be mastered. The purpose of this study is to find a pattern of relationship to the understanding  the topic of integral material about calculation and drawing of integral curves using apriori algorithm. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. The results of this study indicate that understanding of the material is the topic of calculation with 1 functional equation and 2 functional equations, and the depiction of integral curves at X and Y coordinates with a confidence value of 96% and basic integral material such as understanding basic integral techniques, definite integral formulas, calculations and curve depiction on cartesian diagram coordinates X and Y  with a confidence value of 76%.
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用Apriori算法分析提高学生学习的定积分材料题目
定积分是微积分中的重要课题之一。必须学习的积分的用法是计算面积和根据函数方程绘制曲线。然而,仍有许多学生对积分材料,特别是定积分有难以理解的地方。大多数学生很难理解积分学习,因为他们不理解需要掌握的基础和材料。本研究的目的在于寻找一种关系模式,以理解积分材料中使用先验算法计算和绘制积分曲线的主题。Apriori算法可以用来确定学习模式和定积分材料之间的联系。Apriori算法可以用来确定学习模式和定积分材料之间的联系。本研究结果表明,对材料的理解是1个泛函方程和2个泛函方程的计算主题,以及在X和Y坐标上的积分曲线的描述(置信值为96%)和基本的积分材料,如对基本积分技术的理解、定积分公式、计算和笛卡尔图坐标X和Y上的曲线描述(置信值为76%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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