Data-Driven Career Placement Examination System with Prediction Model in Forecasting Licensure Performance Using Regression Techniques

Abstract

Education plays a vital role in the development of a country, and predicting the students' performance is essential to identify future risks they might encounter and enable academic institutions to take corrective actions to prevent them from failure. This study used the descriptive and developmental method of research, and criterion sampling was used to identify/select the individuals who can provide the best information for the objective of this study. After gathering the Career Placement Exam (CPE) results, the output is now imported to the developed predictive data analysis tool on which the simple-linear regression is used. Since the CPE results are not strong enough to verify the predicted result, all the undergraduate semestral grades are also used and subdivided for each of the seven technical subjects/areas, where a multilinear regression model is used. Overall, regarding Security, Functionality, Usability, Reliability, and Portability, the level of acceptance for the developed prototype system is Highly Acceptable. Moreover, for the result of the level of accuracy using the simple linear regression model (for the CPE) and the multilinear regression model (for the seven technical areas), the accuracy level of >=85 is based on the predicted and actual data generated in the Analytics tool Using the equation/model derived from linear regression techniques, the machine learning prototype can determine whether the students can pass or fail the CAAP Licensure Examination as follows: if α≤79.99, then the student will fail; if 85.00≤α≥80.00, then it is questionable for the student to pass and if α≥85.01 then the student will likely pass the licensure examination.

Fostering cultural heritage awareness through VR serious gaming: A study on promoting Saudi heritage among the younger generation

“…The General Authority for Tourism and Antiquities in the Kingdom of Saudi Arabia has made significant progress in the preservation of culture and heritage, making the country one of the nations with a rich urban heritage that has kept up with global patterns towards its settlement, preservation, and care (Throsby & Petetskaya, 2021;Cabanela, 2023). The architectural legacy of the Kingdom has unique meanings and traits, as well as economic benefits for the state should it decide to invest in it.…”