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Identifying the influence of mathematics on academic performance of engineering students

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dc.contributor.author Nanayakkara, KADSA
dc.contributor.author Peiris, TSG
dc.date.accessioned 2018-07-23T21:22:47Z
dc.date.available 2018-07-23T21:22:47Z
dc.date.issued 2017
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/13284
dc.description.abstract Mathematics plays a major role in higher education as it is particularly essential to develop the analytical thinking of students. Investigating the student academic performance has been a crucial aspect of the educational research recently. The objective of this study is to explore the relationships between students’ mathematics performance in Level 1 and Level 2 with their engineering performance in Level 2 separately. Firstly, Canonical Correlation Analysis was employed to study the joint impact of mathematics in Level 1 and Level 2 on engineering performance. The two adjusted analyses; Partial Canonical Correlation Analysis and Part Canonical Correlation Analysis were used to determine the unique effect of mathematics in Level 1 and Level 2 on students’ engineering performance in Level 2. The study was conducted with engineering undergraduates from Chemical and Process Engineering discipline at the Faculty of Engineering, University of Moratuwa, Sri Lanka. Results revealed that the mathematics in Level 1 and Level 2 jointly influenced on students’ engineering performance in Level 2. Adjusted analyses showed that unique effect of mathematics in Level 2 is significantly higher compared to the unique effect of mathematics in Level 1 on students’ engineering performance in Level 2. But, there would be a notable indirect effect of mathematics in Level 1 on engineering performance in Level 2. It can be concluded that the combined effect of mathematics in both Level 1 and Level 2 is immensely beneficial to improve the overall academic performance at the end of Level 2 of the engineering students. en_US
dc.language.iso en en_US
dc.subject engineering mathematics; part canonical correlation; partial canonical correlation; student academic performance I. en_US
dc.title Identifying the influence of mathematics on academic performance of engineering students en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Mathematics en_US
dc.identifier.year 2017 en_US
dc.identifier.conference Moratuwa Engineering Research Conference - MERCon 2017 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US


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