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 |