Factors to Consider in Developing Student Academic Performance with Prediction using Technology Acceptance Method (TAM)

Abstract

Adaptive Online Learning was one of the solutions of Higher Educational Institutions (HEIs) to have continuous education during pandemic. Innovative technological platform such as Learning Management System (LMS) served as a ground for compiling student requirements submission vital for identifying how well a student meets the standard course requirements. With the aid of predictive analytics included in LMS student can easily monitored their grades and submission, having a positive sign of inclusion to graduation on given time frame. While LMS was highly accepted in the Philippine Educational System, factors to consider in developing student academic performance with prediction was left unexplored. Thus, this study aimed to determine the software factors (trust, context, compatibility, security, complexity) and access method (devices used to access LMS, internet speed) significance to students’ attitude towards using the system through modified TAM among college students at higher educational institutions. The results showed that performance usefulness was influence by perceived ease of use while behavioral intention to use also show significant influence to attitude towards using the system.