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Development of a Multiple Linear Regression Model for Predicting the Impact of Online Gaming on Students’ Learning Behavior |
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| รหัสดีโอไอ | |
| Creator | Sasitorn Putjuso |
| Title | Development of a Multiple Linear Regression Model for Predicting the Impact of Online Gaming on Students’ Learning Behavior |
| Contributor | Supot Seebut, Kanisa Chodjuntug, Kalyarat Boonyajahn |
| Publisher | Faculty of Science, Ubon Ratchathani University |
| Publication Year | 2569 |
| Journal Title | Journal of Science and Science Education |
| Journal Vol. | 9 |
| Journal No. | 1 |
| Page no. | 115-128 |
| Keyword | Online gaming, Learning behavior, Multiple linear regression, Cylindrical behavior model |
| URL Website | https://so04.tci-thaijo.org/index.php/JSSE/ |
| Website title | Journal of Science and Science Education |
| ISSN | ISSN 2697-410X |
| Abstract | This research aimed to develop a multiple linear regression model for predicting the impact of online gaming on students' learning behavior. The sample consisted of 400 science students from the University of Ubon Ratchathani, divided into a training set of 380 and a testing set of 20. Data were collected using a 5-level Likert scale questionnaire with an average IOC of 0.90 and Cronbach's alpha of 0.91. The independent variables were X1(gaming frequency per day) and X2(gaming time per day), with Y (level of impact on learning behavior) as the dependent variable. The resulting equation was ?= 1.000 + 0.303(X1) + 0.311(X2), with R? = 0.579, explaining 57.91% of the variance in Y at a significance level of 0.001. Additionally, a Cylindrical Behavior Model was developed to transform results into cylindrical coordinates (r, ?, z)for three-dimensional behavioral profiling, and implemented as a prototype tool for academic advising. |
