Analysis of Students’ Grades in Mathematics, English, and Programming Courses: A KDD Approach

Abstract

Abstract-There are several statistical tools being used for information extraction and knowledge discovery from the students' performance analysis. This paper presents data mining approach applied to discover students' performance patterns in mathematics, English, and programming courses taught in an undergraduate engineering degree program. The interesting patterns emerging from this analysis promise to offer some helpful and constructive guidance to educational administrators and decision makers in higher education sector for the improvement and revision of teaching methodology, restructuring of curriculum, and modifying the prerequisites requirements of various courses.

The Relationship of Mathematics to the Performance of SHCT it Students in Programming Courses

“…The sections are: Mathematics as predictor of Success in Computer Programming and Logo Programming in mainstream Education. [15] From these, it can be concluded that the programming courses require the same competencies with that of mathematics courses.Therefore, the null hypothesis which states that there is no significant relationship between mathematics and the performance in programming is rejected. The results also shows that Mathematics plays an important role in predicting the performance of the students in their programming courses.…”

“…[14] Anwar (2012) found out that tudents who got poor grades in Mathematics also got poor grades in programming courses. [15]. In the same way, Bly (2012) included in his paper two sections providing possible evidence used by the National Mathematics Advisory Panel in basing their claim on the important relationship between Mathematics and computer programming.…”