Determinant Factors and Adaptation Features of Mobile Personalized Learning System

Abstract

The mobile learning field is grown and enhanced to a more sophisticated platform for the last decades. It quickly becomes pervasive among educational stakeholders. Nowadays, both students and teachers are familiar with mobile devices to complete their tasks and assignments. A personalized system is one of the features contributing to the mobile learning system's ease and effectiveness. This paper aims to identify the determinant factors and adaptation features from the previous works in this field. There are 30 papers to be included in the analysis using a coding strategy. The result elicits some determinant factors, including prior knowledge in using mobile devices, the ability to access the technology, and the existence of guidance from an expert. Also, several common adaptation features include user preferences, learning behavior, performance, and mobile-specific adaptation features such as device characteristics and content metadata. Study limitations and future directions are also discussed.