Subject-Specific Characteristic Analysis:Characterizing Cognitive Profiles Across School Subjects Based on Principal Components

This study reanalyzed data from a previous principal component analysis (PCA) of Japanese university students’ preferences for 20 school subjects to clarify how each subject is perceived. The original study extracted 20 principal components, including contrasts between memorization and theory-based learning (PC1), natural sciences and humanities/social sciences (PC2), as well as dimensions such as everyday relevance, creativity, external-world orientation, visual understanding, conceptual design, fundamentality, artificiality, learning-strategy clarity, and entrance-examination selectivity.In the present analysis, the original plots were approximately digitized and linearly normalized within each principal component to relative scores ranging from −100 to +100. These scores were then classified into five levels from strongly negative to strongly positive. Using these quantitative profiles, each subject was characterized in terms of (1) its overall perceived image, (2) associated learning style, (3) learner characteristics linked to success, (4) likely areas of difficulty, and (5) relative differences from other subjects. This subject-level reconstruction provides a more interpretable account of how students cognitively differentiate academic subjects.

Authors

Publication Details

Journal
EdArXiv (OSF Preprints)
Published
2026-11-07
DOI
https://doi.org/10.35542/osf.io/wt4rj
Primary Topic
Learning Styles and Cognitive Differences
Type
preprint
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preprint

Subject-Specific Characteristic Analysis:Characterizing Cognitive Profiles Across School Subjects Based on Principal Components

Noboru Sakai
EdArXiv (OSF Preprints)
Learning Styles and Cognitive Differences
preprint

Subject-Specific Characteristic Analysis:Characterizing Cognitive Profiles Across School Subjects Based on Principal Components

Noboru Sakai
preprint en

Abstract

This study reanalyzed data from a previous principal component analysis (PCA) of Japanese university students’ preferences for 20 school subjects to clarify how each subject is perceived. The original study extracted 20 principal components, including contrasts between memorization and theory-based learning (PC1), natural sciences and humanities/social sciences (PC2), as well as dimensions such as everyday relevance, creativity, external-world orientation, visual understanding, conceptual design, fundamentality, artificiality, learning-strategy clarity, and entrance-examination selectivity.In the present analysis, the original plots were approximately digitized and linearly normalized within each principal component to relative scores ranging from −100 to +100. These scores were then classified into five levels from strongly negative to strongly positive. Using these quantitative profiles, each subject was characterized in terms of (1) its overall perceived image, (2) associated learning style, (3) learner characteristics linked to success, (4) likely areas of difficulty, and (5) relative differences from other subjects. This subject-level reconstruction provides a more interpretable account of how students cognitively differentiate academic subjects.

EdArXiv (OSF Preprints)
Quality education
Learning Styles and Cognitive Differences
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