A Dynamic Adaptation to Class Diffculty on University Course Schedules Reflecting Student Learning Histories

Abstract

We are making automatic creation of timetable that suitables students's needs from course title in university. This study suggests technique that estimates student's likes and dislikes from student learning histories, and making timetable auto by diffculty. Student adjusts timetable auto from this function that is extending likes and challenging dislikes. Experiment result, Learning histories information is vaild at pass subject. This paper report that reult.