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The Covid-19 pandemic has had negative effects throughout the whole world, including education systems. To overcome this negativity, all educational institutions have turned to internet-based education. However, the educator&rsquo;s self-efficacy is of more importance in this system. This study aimed to reveal the connection between the University academic staff&rsquo;s genders, ages, titles (doctorate/non-doctorate), and work year characteristics and their self-efficacy beliefs about their educational Internet usage. The sample consists of 100 [51% (n = 51) female and 49% (n = 49) male] academic staff, who were selected according to convenience sampling in the Faculty of Education and Faculty of Sport Sciences at Uludag University. In this study, the &ldquo;Educational Internet Usage Self-Efficacy Beliefs&rdquo; scale, developed by Şahin (2009), was used to collect data. Descriptive statistics refer to number and percentage for qualitative variables; quantitative variables are summarized using mean, median, standard deviation, and minimum and maximum statistics. Univariate analyses used binary group comparisons with the Student&rsquo;s t-test and relationships between numerical variables and Spearman correlation coefficients. Multiple regression analysis was used, in conjunction with the backward method, for the multivariate linear regression method. Analysis results alpha (Type I error) value was evaluated at the level of 0.05 significance. The mean level of self-efficacy belief of academic staff is 109,42. Since the highest score that can be obtained from the scale is 140, the relationships between scale score and age and duration of service variables are significant according to the univariate analysis, while differences in gender and PhD and non-PhD groups are not significant. When multiple linear regression analysis is applied with the backward stepwise method, age and academic title variables are significant in the model. Additionally, the mean scale scores of PhD academicians are higher than others.

Investigation of Academic Staff’s Self-Efficacy Using the Educational Internet