2019
DOI: 10.3390/educsci9030245
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Prediction of Students’ Performances Using Course Analytics Data: A Case of Water Engineering Course at the University of South Australia

Abstract: An association between students’ learn-online engagement and academic performance was investigated for a third-year Water Resources Systems Design course at the University of South Australia in 2017. As the patterns of data were non-parametric, Mann-Whitney and Kruskal-Wallis tests were performed using SPSS. It was revealed from the test results that distributions of students’ logins to learn-online site for all categories and sub-categories including gender, international/domestic students and grades were alm… Show more

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Cited by 10 publications
(9 citation statements)
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“…In this case, teaching and learning processes must also make students aware of water problems in all their dimensions [8], providing them with knowledge that allows them to understand and address the problems at the local, national and global levels [9]. Therefore, curricular elements in the area of water education should be oriented towards understanding the spatial and temporal dynamics of water [10], identifying its different uses [11], learning to conserve water [12], promoting actions that allow for better water use [13], assimilating the unequal availability of water at the global level [14], and raising awareness about the importance of natural resources that store and conserve water [15].…”
Section: Introductionmentioning
confidence: 99%
“…In this case, teaching and learning processes must also make students aware of water problems in all their dimensions [8], providing them with knowledge that allows them to understand and address the problems at the local, national and global levels [9]. Therefore, curricular elements in the area of water education should be oriented towards understanding the spatial and temporal dynamics of water [10], identifying its different uses [11], learning to conserve water [12], promoting actions that allow for better water use [13], assimilating the unequal availability of water at the global level [14], and raising awareness about the importance of natural resources that store and conserve water [15].…”
Section: Introductionmentioning
confidence: 99%
“…Statistical difference test was performed using One Way ANOVA (Sig.<0.05 statistically different) [14,15] followed by Tukey Post Hoc Test (Sig.<0.05 significantly different) [16] for normal and homogenous data and Kruskal-Wallis (Asymp. Sig.<0.05 statistically different) for abnormal and non-homogenous data [17] followed by Bonferroni Post Hoc Test (Adj. Sig.<0.05 significantly different) [16].…”
Section: Discussionmentioning
confidence: 99%
“…𝑈 1 is taken as the lower value of 𝑈 obtained for the two samples and is then compared to a table of values to see whether it is "significant" (Rouncefield, 1998). Mann-Whitney is a non-parametric version of the t-test (Ahammed & Smith, 2019). When the independent variable is limited to two categories, it is a suitable statistical test.…”
Section: Mann-whitney Testmentioning
confidence: 99%