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Identifying variables affecting students' academic performance among engineering students

dc.contributor.advisorMago, Vijay
dc.contributor.authorWali, Fahad
dc.date.accessioned2019-10-04T13:48:09Z
dc.date.available2019-10-04T13:48:09Z
dc.date.created2018
dc.date.issued2018
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/4405
dc.description.abstractAn essential consideration for campus administrators and faculty members is that students complete their degree with good academic grades. Being able to predict factors affecting students performance is necessary to help ensure the supply of quality students. The purpose of this study is to determine the factors affecting transfer students' academic performance (AP) who are taking Baccalaureate degree in the university. The sample used in this study includes 996 students (934 males and 62 females). The data was filtered by removing students whose cohort year is greater than the first term registered, students who deceased while studying, and students with a degree other than Baccalaureate degree. The data were analysed using descriptive statistics and structural equation modelling (SEM) approaches (like Path analysis and Con frmatory Factor Analysis (CFA)). Results revealed that (i) male students older than 25 to be a strong predictor of students' academic performance, (ii) females and the students younger than 21 significantly complete their studies on-time, (iii) students who are on a Permanent resident immigration status, have French as their native language or are from India, Pakistan or other countries perform better, (iv) students from Institute N (anonymised institute) significantly complete their studies on-time, (v) students' past grades from Institute L and J shows significant positive effect on their current grades at the university. Furthermore, students with fewer bridging courses or are from group 3 perform better at the university. These findings will help institutional planning for future students.en_US
dc.language.isoen_USen_US
dc.subjectStructural Equation Modellingen_US
dc.subjectPath analysisen_US
dc.subjectConfirmatory Factor Analysisen_US
dc.subjectEvaluating academic performanceen_US
dc.subjectDemographic variables and student successen_US
dc.titleIdentifying variables affecting students' academic performance among engineering studentsen_US
dc.typeThesisen_US
etd.degree.nameMaster of Scienceen_US
etd.degree.levelMasteren_US
etd.degree.disciplineComputer Scienceen_US
etd.degree.grantorLakehead Universityen_US
dc.contributor.committeememberWei, Ruizhong
dc.contributor.committeememberJackson, Piper


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