Constructing a User-Friendly and Smart Ubiquitous Personalized Learning Environment by Using a Context-Aware Mechanism

Although m-learning applications have been widely researched, few studies have investigated applying adaptive learning content to various learning environments and efficient input interfaces. This study combined a context-aware mechanism, which can be used to provide suitable learning information anytime and anyplace by using GPS technology, with a rapid and user-friendly QR code interface input into a personalized context-aware recommendation (PCAR) learning system for enabling learners to immediately save useful external contents as learning materials. To improve students’ English application abilities efficiently, GPS combined with an intelligent personalized context-aware learning algorithm was used to obtain English learning content that is more practical. The results of several experiments and investigations indicate that the posttest grades of the experimental group, which used the proposed PCAR system, were higher than those of the control group. Furthermore, approximately 80 percent of the users were satisfied with how the system benefited their learning and with its ease of use. The results also show that the PCAR system markedly enhanced learner interest and learning efficiency by creating a convenient virtual English learning environment.