Eleventh International Conference on Educational Data Mining (EDM 2018) : July 15-18, 2018, Buffalo, NY USAThis paper discusses a relation analytics between learning activities and seating area in classrooms. Learning activities are collected via digital learning systems; including a learning management system, an e-portfolio system and an e-Book system. The activities are converted into barometers which indicate the amount of activities such as quiz scores, report scores, action frequencies on e-Books, length of journals, etc. The classroom is divided into 12 subareas, and the correspondence between students and the areas are also collected via the learning management system. We applied classical statistical analyses to the collected data. Through the experiments with about 200 students over 14 weeks, we found out that the seating area has strong relationship to learning activities.
|ジャーナル||11th International Conference on Educational Data Mining|
|出版ステータス||出版済み - 2018|