Facilitating a personalized learning environment through learning analytics on mobile devices

Many learning analytics techniques to capture the learner´s real-time responses are computationally intensive for running on mobile devices. In this paper, we propose a personalized learning platform named the PETAL facilitated by an efficient learning analytics application to detect learners´ level of attentiveness and the proximity of their eyes to mobile devices and then alert learners to be more attentive or to keep acceptable distance from a device. Data privacy is guaranteed by password-protected accounts. Being the first attempt, a prototype of our PETAL application is carefully built and evaluated on Android tablets, with many promising directions for future extensions.