Optimizing Assignment of Students to Courses Based on Learning Activity Analytics /

Optimizing Assignment of Students to Courses Based on Learning Activity Analytics / Atsushi Shimada, Kousuke Mouri and Yuta Taniguchi.

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. Th...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Authors: Shimada, Atsushi, Mouri, Kousuke (Author), Taniguchi, Yuta (Author), Ogata, Hiroaki (Author), Taniguchi, Rin-ichiro (Author), Konomi, Shin'ichi (Author)
Format: eBook
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 2019.
Subjects:
Student Placement.
Learning Activities.
Learning Analytics.
Cognitive Style.
Simulation.
Student Improvement.
Course Descriptions.
Lecture Method.
Electronic Publishing.
Books.
Student Satisfaction.
Scores.
Student Behavior.
Behavior Patterns.
Cluster Grouping.
Electronic Learning.
Foreign Countries.
College Students.

Internet

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