Presentation 2022-12-21
Grasping Trends in Major Choice and Specialization Through Clustering of Students Based on Completed Courses
Daisuke Suzuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This study aims to grasp trends of students' selection of specialized fields through clustering and visualization of students based on completed courses. Clustering was performed with k-means and visualization was performed with PCA, t-SNE. The result indicates that students of our department are divided into eight clusters, such as a cluster of students who focused on management and economics, and a cluster of students who focused on informatics and economics. It was found from the heat map of each cluster that many students have acquired advanced courses in their respective fields to increase their specialization.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) k-means / PCA / t-SNE / Heatmap / Credit / Curriculum / Management
Paper # AI2022-42
Date of Issue 2022-12-14 (AI)

Conference Information
Committee AI
Conference Date 2022/12/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yuichi Sei(Univ. of Electro-Comm.)
Vice Chair Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.)
Secretary Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.)
Assistant Kazutaka Matsuzaki(Chuo Univ.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Grasping Trends in Major Choice and Specialization Through Clustering of Students Based on Completed Courses
Sub Title (in English)
Keyword(1) k-means
Keyword(2) PCA
Keyword(3) t-SNE
Keyword(4) Heatmap
Keyword(5) Credit
Keyword(6) Curriculum
Keyword(7) Management
1st Author's Name Daisuke Suzuki
1st Author's Affiliation Hokuriku University(Hokuriku Univ.)
Date 2022-12-21
Paper # AI2022-42
Volume (vol) vol.122
Number (no) AI-322
Page pp.pp.50-55(AI),
#Pages 6
Date of Issue 2022-12-14 (AI)