The Impact of Technology Usage on Education: A Quantitative Analysis among University Students
DOI:
https://doi.org/10.46328/ijte.1246Keywords:
Technology, Education, Ordered logistic regression, Ordered probit regressionAbstract
Technology has revolutionized education by completely changing the processes of acquiring and sharing information, which are the most important foundations of education. Technology has led to many significant changes, such as increased access and scope, personalized learning, improved interaction and collaboration, diversification of learning methods, and flexibility and mobility. This research aims to investigate university students' technology use habits in education and to determine the factors affecting these habits. The aim of this study is to determine the factors affecting the use of technology in education among university students. In this context, data was obtained through a survey consisting of 65 questions. Data obtained through a quantitative and cross-sectional study involving 1008 university students selected by convenience sampling method were analyzed with ordinal logistic regression and probit regression models. In this study, many factors affecting students' technology use habits in education were examined. For instance, social activities such as spending time with friends and participating in cultural and arts events affect the use of technology in education. The study also examined the positive and negative effects of technology use in education on academic success. In this context, it was determined that the use of online course materials and resources and interactive applications are a factor in the use of technology in education. In the study, it was observed that ordered logistic regression and ordered probit regression models produced similar results, but it was determined that the ordered probit regression model had lower AIC and BIC values.
References
Pourmousa, H., Oktay, E., Ozen, U., & Alipour, N. (2025). The impact of technology usage on education: A quantitative analysis among university students. International Journal of Technology in Education (IJTE), 8(4), 1146-1160. https://doi.org/10.46328/ijte.1246
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