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Factors Affecting Students' Achievement: A Review and Bayesian Modeling Study on Technology Factors

Ahmed Alsayer
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Ahmed Alsayer: Taibah University, Saudi Arabia

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2025, vol. 20, issue 1, 1-17

Abstract: The current research sought to identify important student achievement predictors from past literature, then use a publicly available dataset to assess the statistical contribution of technology factors above and beyond previously established effects. Using TIMSS data from Saudi Arabia, with data from 5,453 students in fourth grade mathematics and science, a Bayesian modeling approach was taken to estimate the effects of internet access, cell phone access, and tablet access on student achievement outcomes. Results showed that not having access to a computer or tablet, along with no internet access was associated with lower math and science scores, while not having a smart phone was associated with higher scores alongside other achievement variables. Findings provide a clearer picture of how technology factors can contribute to success in STEM fields for students, highlighting the need to effectively incorporate technology into the classroom.

Date: 2025
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International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) is currently edited by Mahesh S. Raisinghani

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