Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Behavior Patterns | 1 |
| Books | 1 |
| Cluster Grouping | 1 |
| Cognitive Style | 1 |
| College Students | 1 |
| Course Descriptions | 1 |
| Electronic Learning | 1 |
| Electronic Publishing | 1 |
| Foreign Countries | 1 |
| Learning Activities | 1 |
| Learning Analytics | 1 |
| More ▼ | |
Source
| International Educational… | 1 |
Author
| Konomi, Shin'ichi | 1 |
| Mouri, Kousuke | 1 |
| Ogata, Hiroaki | 1 |
| Shimada, Atsushi | 1 |
| Taniguchi, Rin-ichiro | 1 |
| Taniguchi, Yuta | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Japan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textShimada, Atsushi; Mouri, Kousuke; Taniguchi, Yuta; Ogata, Hiroaki; Taniguchi, Rin-ichiro; Konomi, Shin'ichi – International Educational Data Mining Society, 2019
In this paper, we focus on optimizing the assignment of students to courses. The target courses are conducted by different teachers using the same syllabus, course design, and lecture materials. More than 1,300 students are mechanically assigned to one of ten courses taught by different teachers. Therefore, mismatches often occur between students'…
Descriptors: Student Placement, Learning Activities, Learning Analytics, Cognitive Style
