Analysis of Learning Process Using a Diagnosis Representation Model of Person with Dementia in Remote Training Course for Improving Care’s Diagnosis Skills

Abstract

This paper describes analysis of learning process using a diagnosis representation model of person with dementia in training course for improving care’s diagnosis skills with remote learning system. Our system enables remote teacher to lecture for improving care’s diagnosis skills. However, skills of some people didn’t improve sufficiently, which seemed to be a ceiling effect. Therefore, this study analyzed learner's working on the training course and obtaining process of diagnosis skills, using their input process on slate devices and a diagnosis representation model which has structure of ontology. As a result, the different description type was shown by comparison between the apparent low learning effect group and the other group. Furthermore, it was found that the former group has larger number of input characters than the other group. The result shows that our system enable us to understand type of learning process for adaptive assistance of care’s skills acquisition.