DocumentCode
3152233
Title
Predicting university performance in a subject based on high school majors
Author
Ahmad, Ijaz ; Manarvi, Irfan ; Ashraf, Nosheen
Author_Institution
Iqra Univ., Islamabad, Pakistan
fYear
2009
fDate
6-9 July 2009
Firstpage
1475
Lastpage
1479
Abstract
Pakistan has a population of over 160 million people out which nearly 30% people comprise of young boys and girls who need to select various academic majors after completion of their high school studies. Development of technologies, businesses and other fields leads to in difficulty in decision making for career selection for these youngsters. Present research is focused on evaluating the performance of undergraduate students in various subjects based on their majors selection at high school level in the past. Data was collected from over a 100 students who selected Mathematics, Chemistry, Physics, Biology and Computer as their high school majors and were doing management studies at undergraduate level. It was observed that student´s who took Mathematics and Statistics at high school got outstanding grades in Management Science, whereas student´s with Chemistry, Physics and Biology at high school had average and below average grades in management sciences. Findings of this research could provide useful information about possibilities of performing better or worse at graduate level on the basis of subject selection at high school level.
Keywords
Internet; decision making; management education; Pakistan; Web-based educational technology; career selection; decision making; high school major; management education; undergraduate student; university performance prediction; Biology computing; Chemistry; Data mining; Decision making; Educational institutions; Educational technology; Engineering profession; Genetic algorithms; Mathematics; Physics; Career Counseling; Data mining; Management science; Performance measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location
Troyes
Print_ISBN
978-1-4244-4135-8
Electronic_ISBN
978-1-4244-4136-5
Type
conf
DOI
10.1109/ICCIE.2009.5223719
Filename
5223719
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