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Correlation And Prediction For Preparatory Year Math And Engineering Math In University Of Hail

Authors: Azhari Ahmad*, Sofian Obiedat;

Correlation And Prediction For Preparatory Year Math And Engineering Math In University Of Hail

Abstract

Students’ performance can be evaluated through final exam results consist of students’ assignment, quizzes, mid-semester exam. In engineering and computer sciences , mathematics is one of the important subject students should dominated in many courses. However, students should have deep understanding of some important topics covered in Prep-Year such as, real numbers , equations , inequalities, matrices, functions , before they taken the Engineering , Computer Sciences (MATH) courses. This article attempts to explore students' performance in MATH in the Faculty of Engineering and its correlation with Prep-Year mathematics . A study is carried out on student’s results data which consisted of 216 students , finish successfully their studies in Prep-Year on 2012 , some of them enrolled in the Faculty of Engineering and others in the Faculty of Computer Sciences , taking different MATH courses . The results, which are verified by using paired t-test and Pearson product-moment correlation coefficient, indicated that Prep-Year Math courses and early MATH Courses in Engineering and Computer Sciences (MATH-101) are significantly strongly correlated , for the later Engineering MATH courses we verified a significant positive linear relationship. Prediction of the performance of the students in Engineering MATH courses can be obtained in base of their performance in Prep-Year MATH through linear regression

Keywords

Digital CORRELATION , PREPARATORY -MATH, ENGINEERING MATH.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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