Contribution of Intelligence and Cognitive-Affective Variables to University Grades among African, Indian, and White Engineering Students in South Africa

2005 ◽  
Vol 5 (1) ◽  
pp. 25-46 ◽  
Author(s):  
Mervyn Skuy ◽  
Melissa Skuy

In previous studies significant differences in measured intelligence between African and non-African first year engineering students have been found. Intellectual ability was found to correlate with academic performance, and black studednts had higher dropout and failure rates and performed less well than did their non-African counterparts. Given the low magnitude (r = 0.3), albeit significant, of the correlation between intelligence and academic performance, the question arose of the role of non-intellective factors, relative to intelligence, in determining academic performance of engineering students at University. Accordingly, 93% (n=100) of the second year Chemical and Metallurgical Engineering class were assessed on two measures of intellectual ability, and on measures of self concept, motivation, study attitudes and strategies, anxiety, locus of control, and autonomy. Whereas the intelligence test scores of non-African students (n=36) were significantly higher than those of African students (n=64), this was not the case for any of the non-intellective measures, or for academic achievement. Moreover, although the intellectual measures did not yield significant correlations with academic achievement, certain of the non-intellective measures did, and were able to differentiate between high and low academic performers. This was particularly true for the African group, suggesting that non-intellective variables can contribute significantly to academic performance, particularly in mitigating the effects of lower IQ.

Author(s):  
Tripti Singh ◽  
Manish Kumar Verma ◽  
Rupali Singh

The purpose of this study is to see whether there is a relationship between emotional intelligence and academic achievement. The study respondents were B.Tech first year students from the Agra region. Sampling is stratified, making sure that gender, race, socioeconomic status, and abilities are appropriately represented. The respondents are given Emotional Intelligence Inventory (EII–MM), developed by S. K. Mangal and Shubhra Mangal. It consists of 100 items under four scales .The analysis suggests that there is a significant relationship between Emotional Intelligence and Academic Achievement. IQ alone is no more the measure for success; emotional intelligence, social intelligence, and luck also play a big role in a person's success. This study contributes in acknowledging the fact that even engineering students’ academic achievements are attached with Emotional intelligence. Thus, teaching emotional and social skills only at the school level is not sufficient; this can be taught in engineering studies, as well for accomplishing high academic achievements.


2016 ◽  
Vol 32 (3) ◽  
pp. 215-219 ◽  
Author(s):  
Johannes Schult ◽  
Franziska T. Fischer ◽  
Benedikt Hell

Abstract. This study explores how reasoning facets relate to tests of scholastic aptitude and to academic performance. Intelligence test scores and academic aptitude test scores from freshman students in science (n = 284) and economics (n = 359) as well as subsequent grades from their first year in college were used to analyze structural equation models. The direct influence of reasoning facets on academic performance is fully mediated by academic aptitude test scores. Numeric abilities dominate the aptitude tests’ predictive power. Verbal reasoning explains a significant amount of aptitude test score variance in science but not in economics. The mediation analysis suggests that verbal, numeric, and figural reasoning are covered sufficiently by the aptitude tests.


Author(s):  
Kawtar Tani ◽  
Andrew Gilbey

Various means to predict the success rate of students have been introduced by a number of educational institutions worldwide. The aim of this research was to identify predictors of success for tertiary education students. Participants were 353 students enrolled on Business and Computing programmes between 2009 and 2014, at a tertiary education provider in New Zealand. Enrolment data were used to determine the relationships between completion of the programme and prior academic achievement, age, ethnicity, gender, type of enrolment, and programme of study. These variables, as well as the overall GPA of the programme, were used to examine their relationship with the first year GPA. Results showed that pre- and post-enrolment data can be used for prediction of academic performance in ICT programmes. Based on the significance of some variables, tertiary education institutions can identify students who are likely to fail, these students can therefore be considered for additional support in the early stages of their study, in order to increase their chances of succeeding academically.


BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e034437
Author(s):  
Paul A Tiffin ◽  
Lewis W Paton

ObjectivesThe UK Clinical Aptitude Test (UKCAT) previously piloted an assessment of ‘online confidence’, where candidates were asked to indicate how confident they were with their answers. This study examines the relationship between these ratings, the odds of receiving an offer to study medicine and subsequent undergraduate academic performance.DesignNational cohort study.SettingUK undergraduate medical selection.Participants56 785 UKCAT candidates who sat the test between 2013 and 2016 and provided valid responses to the online confidence pilot study.Primary outcome measuresTwo measures of ‘online confidence’ were derived: the well-established ‘confidence bias’, and; a novel ‘confidence judgement’ measure, developed using Item Response Theory in order to derive a more sophisticated metric of the ability to evaluate one’s own performance on a task. Regression models investigated the relationships between these confidence measures, application success and academic performance.ResultsOnline confidence was inversely related to cognitive performance. Relative underconfidence was associated with increased odds of receiving an offer to study medicine. For ‘confidence bias’ this effect was independent of potential confounders (OR 1.48, 1.15 to 1.91, p=0.002). While ‘confidence judgement’ was also a univariable predictor of application success (OR 1.22, 1.01 to 1.47, p=0.04), it was not an independent predictor. ‘Confidence bias’, but not ‘confidence judgement’, predicted the odds of passing the first year of university at the first attempt, independently of cognitive performance, with relative underconfidence positively related to academic success (OR 3.24, 1.08 to 9.72, p=0.04). No non-linear effects were observed, suggesting no ‘sweet spot’ exists in relation to online confidence and the outcomes studied.ConclusionsApplicants who either appear underconfident, or are better at judging their own performance on a task, are more likely to receive an offer to study medicine. However, online confidence estimates had limited ability to predict subsequent academic achievement. Moreover, there are practical challenges to evaluating online confidence in high-stakes selection.


Author(s):  
Kenneth Bryan F. Abaigar ◽  
Benjamin D. Varela

The study was conducted to determine the mathematical skills and the academic performance of the junior and senior electrical engineering students of the University of Eastern Philippines. Descriptive-correlational method of research was used with a total enumeration of the regular students from third year to fifth year electrical engineering students.     The findings revealed that male students dominated all the three year levels of the electrical engineering course. It was also found out that there were more regular fifth year engineering students than the third year and fourth year students. Meanwhile, the third year students got the highest average rating in the final grades of first year and second year mathematics and the lowest average rating belonged to the fifth year students. The learning style of the three-year levels was found to be visual while in terms of study habits, the third year students have very good study habit. It was also found out that the level of mathematical skills of the three-year levels were low, but the level of academic performance of the three-year levels were found out to be good. Multiple regression analysis was used to determine the relationship of the student profile and their mathematical skills. The results showed that the average of final grades in all first-year mathematics, and the students’ year level have significant relationship with the mathematical skills of the students. Meanwhile, the profile variables found to be significantly related to academic performance were the average of final grades in first year mathematics, average of final grades in second year mathematics and study habits of the students’ respondents. Lastly, the mathematical skills had no significant relationship to the academic performance of the student-respondents.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kuok Ho Daniel Tang

PurposeIt is commonly believed that personality traits determine a person's ability to work in a team and academic performance. However, studies have shown inconsistent results with some personality traits better than the other in predicting students' performance in different academic majors. The purpose of this study is to examine the interrelation between personality traits, teamwork competencies and academic performance among first-year first semester engineering students in an Australian university located in the Sarawak state of Malaysia.Design/methodology/approachThe Individual and Team Performance (ITP) metrics were administered among 189 students to gauge their personality traits as well as self-rated and peer-rated teamwork competencies. The correlations between personality traits and teamwork competencies as well as correlations of both the variables to academic performance were subsequently analyzed.FindingsThis study shows no significant difference between the self-rated and peer-rated teamwork competencies. Adventurous trait appears to negatively correlate with teamwork competencies. This study also reveals teamwork competencies as better predictors of academic performance than personality traits. Commitment and focus show relatively larger effect on academic performance. It can be concluded that commitment is the most significant factor to excel in first-year engineering in the university. Therefore, interventions that promote commitment is crucial to academic performance of the first-year first semester engineering students.Practical implicationsThis study promulgates the development of team competencies which are more crucial to academic excellence than personalities. It is useful for the design of team learning activities which lead to the development of teamwork competencies while improving academic performance. It shows that team activities which reinforce commitment especially and focus secondarily, will have significant positive effect on academic performance of the first-year engineering students generally.Originality/valueWhile most studies in this area examine the correlation between personality traits and academic performance, this study is among the very few that looks into the aspect of teamwork competencies. This study also finds its value in its regional significance as such correlational studies are not prevalent in Malaysia.


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