DocumentCode
1730306
Title
Predicting Academic Performance
Author
Golding, Paul ; Donaldson, Opal
Author_Institution
Technol. Univ., Kingston
fYear
2006
Firstpage
21
Lastpage
26
Abstract
The importance placed on matriculation increases at each level of academia, with the greatest significance placed at the tertiary level. The task of standardizing entry-level requirements at the tertiary level has lead to the implementation of assessments such as SAT GMAT and GRE. Prior research conducted at the University of Technology, Jamaica (UTECH) indicated that the task of finding effective predictors of academic performance remains incomplete. This study examines the relationship between students´ overall academic performance (GPA) and matriculation requirements performance in first year courses in the Bachelor of Science and Information Technology (BSCIT) program at UTECH. The study evaluates undergraduate students that completed the BSCIT program in 2005. The files for all BSCIT undergraduate students of 2005 were surveyed and specific data was collected. The findings pointed out that performance in first year gateway courses had some level of significance in predicting performance. The findings from this study will be instrumental in restructuring the admissions policy for the program
Keywords
computer science education; educational institutions; information technology; Bachelor of Science and Information Technology program; UTECH; academic performance prediction; admissions policy; matriculation requirements performance; Councils; Crops; Educational institutions; Educational programs; Information technology; Instruments; Mathematics; Natural languages; Qualifications; Testing; Predicting academic performance; matriculation; predictor variable;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Education Conference, 36th Annual
Conference_Location
San Diego, CA
ISSN
0190-5848
Print_ISBN
1-4244-0256-5
Electronic_ISBN
0190-5848
Type
conf
DOI
10.1109/FIE.2006.322661
Filename
4117161
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