International Journal on Advanced Science, Engineering and Information Technology, Vol. 9 (2019) No. 1, List of accepted papers. , DOI:10.18517/ijaseit.9.1.7763

Competency Discovery System: Integrating Enhanced ID3 Decision Tree Algorithm to Predict the Assessment Competency of Senior High School Students

Jestoni Vasquez, Benilda Eleonor Comendador

Abstract

The paper presents the development of the competency discovery system which integrates enhanced ID3 decision tree algorithm to predict the assessment competency of Senior High School Students. It provides a decision tool for the teachers on how to improve students’ performance in the academic and technical skills based on the factors that may affect their learning. Moreover, the system identifies those students most likely to fail and may need immediate assistance in preparation for the National Certificate programming related assessment. Most respondents evaluated the software as “Highly Acceptable” with the idea that the developed system satisfied its implied functions and is reliable, efficient, usable, secured, and user-friendly.

Keywords:

Competency Discovery System; Decision Tree; ID3 Algorithm; Enhanced ID3 Algorithm; National Certification Assessment

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