Predicting the academic success of architecture students by pre-enrolment requirement: using machine-learning techniques
In recent years, there has been an increase in the number of applicants seeking admission into architecture programmes. As expected, prior academic performance (also referred to as pre-enrolment requirement) is a major factor considered during the process of selecting applicants. In the present stud...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
UTS ePRESS
2016-12-01
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Series: | Construction Economics and Building |
Subjects: | |
Online Access: | https://learning-analytics.info/journals/index.php/AJCEB/article/view/5184 |