Bayesian Model Average for Student Learning Location

被引：0

作者：

Lam N.V. ^{[1
]}

Khoi B.H. ^{[1
]}

机构：

[1] Industrial University of Ho Chi Minh City, Viet Nam

来源：

Journal of ICT Standardization | 2022年 / 10卷 / 02期

关键词：

Bayesian Model Selection; city; learning location; perception of university; price perception; student; Students; perception;

D O I：

10.13052/jicts2245-800X.10211

中图分类号：

学科分类号：

摘要：

The paper was conducted to understand the factors affecting the student’s learning location. The official study carried out an online survey through Google forms using a questionnaire with the participation of 125 samples. The Bayesian Model Selection shows that 03 factors are affecting student studying location (SSL), which are Students’ perception (PP), Price perception (PRI), Perception of universities in a big city (UNI). From the results, we have proposed many implications for improving student learning. This study uses the optimal choice of Bayesian Model Selection for the student learning location. Students’ perceptions (PP), price perceptions (PRI), and university perceptions in big cities (UNI) all have a 97.1 percent impact on student studying places (SSL). Model 1 is the best option by BIC, and four variables have a probability of 100%. © 2022 River Publishers

引用

页码：305 / 318

页数：13

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