Predictability of virtual exam anxiety based on computer self-efficacy

Subject Areas : Educational Science

فاطمه احمدبیگی ^{1 *}

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Accepted : 2025-04-27 Published : 2025-04-05

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Abstract :

The present study was conducted with the aim of predicting virtual exam anxiety based on computer self-efficacy and self-control in the statistical population of Islamic Azad University students, North Tehran branch. The statistical sample consists of 367 people who were determined based on Morgan's table and were randomly selected by quota sampling method. This research is considered among correlational researches based on multivariable regression and correlation. Three standard test anxiety questionnaires of Sarason (1976) , Hosseini's computer self-efficacy (2013) were used to collect information. In the statistical analysis of the data , central tendency and dispersion indices were used at the descriptive level, and regression analysis and correlation coefficient were used at the inferential level. The findings indicate that 1) virtual exam anxiety can be significantly predicted based on computer self-efficacy. 2) There is a significant relationship between virtual exam anxiety and computer self-efficacy.

keywords: virtual exam anxiety, computer self-efficacy, students