Unraveling the Link: Investigating the Correlation Between the Core Subjects of Architecture and Licensure Exam Performance in BS Architecture Graduates
Keywords:
BS Architecture, Data Mining, Weka, DecisionStump classifier, Attribute evaluator, RankerAbstract
This research paper aimed to investigate the relationship between the History, Theory, and Practices Subjects within the
BS Architecture curriculum and the corresponding licensure exam results. By employing data mining techniques and
leveraging the WEKA platform, this study identified the most influential subject within the History, Theory, and Practices
domain for architecture students, using data from the academic years 2013 to 2019. The DecisionStump classifier was utilized, achieving an accuracy rate of 75% with a training time of 0 second. The attribute evaluator employed a search mode ranker, while the mean of the History, Theory, Planning, and Practices subjects was calculated. The findings of this study can assist college administrators and faculty members in guiding their students toward better performance in the licensure exam by identifying strengths and weaknesses in the specific subject area, as well as the overall performance variation. By gaining insights into the impact of these subjects on examination outcomes, educational institutions can enhance their curriculum and teaching methodologies to better prepare future architects for success in their professional endeavors.