Development of Support System Modeled on Robot Suit HAL for Personalized Education and Learning

We have developed Personalized Education and Learning Support System (PELS) [1], which has been formed by motion model theory of a rehabilitation robot HAL (hybrid assistive limb) [2] for general purposes in Education. By using this system, we have supported for instructors and learners to make the best use of individual traits for collaborative learning in group work. In this paper, we will introduce the concept of the PELS structure and the results of the examination in practical nursing class. PELS is consisted by a main controller, feedforward control and two kinds of feedback control. Firstly, we will gather various kinds of data and analyze them after Big Data processing (Main controller) so that we can find patterns of learners' behavior (Feedforward Control). Next, instructors will be informed those results of Big Data analysis (Feedback Control) and consulted by supporters to optimize grouping and teaming in which learners will be able to communicate interactively with each other. Lastly, through those interactive communication smoothly, learners might become aware of their own learning methods in collaborative group work (Feedback Control). The results of practical examination have shown that students' performances and their attendance have become significantly better than previous year. We have also observed that students have been becoming greater autonomy and positive attitude in practical class. From those results, we can say that this support system might work effectively.