Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)

A Predictive Analysis of Hall Culture’s Impact on University Students Personal Development

Authors
Delowar Husain1, *, Redwan Ahmed Rafi1, Partha Podder1, Fizar Ahmed1
1Department of Computer Science of Engineering, Daffodil International University, Daffodil Smart City, Birulia, Savar, Dhaka, 1216, Bangladesh
*Corresponding author. Email: husain22205101453@diu.edu.bd
Corresponding Author
Delowar Husain
Available Online 8 June 2026.
DOI
10.2991/978-94-6239-664-7_94How to use a DOI?
Keywords
Hall Culture; Academic Behavior; Machine Learning; Emotional Regulation; Sociability; Personality Development; and Stress Management
Abstract

The role of resident halls on shaping personality traits among university students in Bangladesh has been investigated, focusing on sociability, emotional regulation, stress management and academic behavior. A dataset involving 226 students from several universities was analyzed based on different machine learning techniques like K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Logistic Regression, Random Forest and CatBoost. In terms of F1-score and accuracy, 0.94 and 0.91 for KNN; a lower figure of 3% for SVM was recorded. Predictors importance Random Forest analysis showed that the academic performance, maturity and responsibility, and the formation of better study habits turned out to be the most important predictors for personal development. Correlational analysis additionally found a direct relationship between resourcefulness, time management and developmental outcomes. The findings also indicate that it is possible to employ machine learning in the study of hall culture dynamics as well as assist universities in molding students whose development is harmonious and purposeful.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
8 June 2026
ISBN
978-94-6239-664-7
ISSN
1951-6851
DOI
10.2991/978-94-6239-664-7_94How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Delowar Husain
AU  - Redwan Ahmed Rafi
AU  - Partha Podder
AU  - Fizar Ahmed
PY  - 2026
DA  - 2026/06/08
TI  - A Predictive Analysis of Hall Culture’s Impact on University Students Personal Development
BT  - Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)
PB  - Atlantis Press
SP  - 1392
EP  - 1407
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-664-7_94
DO  - 10.2991/978-94-6239-664-7_94
ID  - Husain2026
ER  -