Research
Exploring the Factors in Student’s Retention of E-learning Mathematics: A Case of Grade 12 Senior High School Students at the University of Perpetual Help System-Pueblo de Panay Campus
The study aims to determine the effects of teacher’s factors, student attitude, and motivation on student’s ability to absorb, recall and maintain the learned concepts. This research measures the effects of the said factors on student’s mathematics retention. For this study, the data are collected from 101 STEM students of the University of Perpetual Help System-Pueblo de Panay Campus. The data analysis is done using Paired t-test, Cronbach’s Alpha and Pearson r. The results have revealed that teacher’s factor, students’ attitude and motivation have significant differences. Results indicate that the three factors have statistical effect and significant impact on student's ability to absorb, recall and maintain the learned concepts in Mathematics subject via e-learning platform. Based on the findings, teacher’s factor is one of the factors that the school should give much focus on since teacher has the ability to motivate and influence the attitude and performance of the students and they are accountable for the achievements and performance for the students.
A Study on the Factors Influencing Student’s Acceptance of Learning Management Systems: A Case of University of Perpetual Help System Pueblo de Panay
The utilization of Learning Management System (LMS) has been given much emphasis especially during the COVID-19 pandemic period and has become a common phenomenon during the new normal. This study examined the factors that influence LMS adoption among the students. Drawing upon the model of technological acceptance (TAM), five factors have been identified such as facilitating conditions (FC), perceived enjoyment (PE), perceived service quality (SQ), perceived value (PV), and satisfaction (SAT) in successful acceptance of LMS as an observational viewpoint from the of the University of Perpetual Help System – Pueblo de Panay. The study used quantitative with the support of SPSS, SEM, multi-level linear regressions, and regression analysis. The study will add value to the growing figures of investigation on TAM by measuring the factors and their impact on LMS adoption.
