Open AccessK-12 Students’ Academic Status: A Data Warehouse Architecture Framework
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1337.0982s1119
Subject(s) - architecture , drop out , drop (telecommunication) , computer science , mathematics education , psychology , data science , geography , demographic economics , economics , telecommunications , archaeology
The K-12 Basic Education Program in the Philippine is now on its full swing status. However, as it moves to the peak of its full implementation, the number of drop-outs, retention, and migration students is increasing. With this in mind, the researcher came across with designing data warehouse and data mining architecture in the analysis of drop-out, retention, and migration patterns of students. Academic performance is the main factor in the students’ drop-out, retention, and migration. The proposed architecture would be sufficient for the analysis of the K-12 students’ academic status. It served as a foundation in the conduct of a thorough study on students’ drop-out, retention, and migration patterns.