Predicting Teacher's Computer Anxiety Based on their Personality Traits and Emotional Intelligence Components

This study aimed to predict computer anxiety based on emotional intelligence and personality traits in teachers in 2012-13 academic year. The study was correlative and predictive. The statistical population consisted of all the teachers of public high schools in central region of ​​the city of Karaj. The sample included 160 teachers (83 male and 77 female) who were selected using multi-stage cluster sampling. The data were collected using Shearing''s Emotional Intelligence Questionnaire، Neo’s Personality Traits Questionnaire، Hansen et al. Computer Anxiety Questionnaire and demographic questionnaire. The data were analyzed with the Pearson Correlation Coefficient، stepwise regression، and independent t test. The results indicated that there were significant negative relationship between computer anxiety with emotional intelligence components and with extroversion، openness to experience، agreeableness and conscientiousness (P<0. 01). There was a significant positive relationship between computer anxiety and neuroticism (P<0. 01). Stepwise regression results showed that among the components of the emotional intelligence، the variables self-motivation، self-awareness، empathy، and self-regulation، respectively، entered into the analysis as the predictor variables (totally %36). Among the personality traits، neuroticism and openness to experience had the highest degree of predicting، respectively (totally %16). In addition، no significant relationship was observed in the score of computer anxiety in terms of sex and age.