پیش‌بینی اضطراب رایانه معلمان بر اساس ویژگی‌های شخصیتی و مؤلفه‌های هوش‌هیجانی آنان
محورهای موضوعی : فن‎آوری اطلاعاتسعید لطیفی 1 , آزاد الله کرمی 2 , افشین بابامرادی 3
1 - دانشجوی دکتری تکنولوژی آموزشی، دانشگاه تربیت مدرس
2 - دانشجوی دکتری تکنولوژی آموزشی، دانشگاه علامه طباطبایی
3 - کارشناس ارشد تکنولوژی آموزشی، دانشگاه علامه طباطبایی
کلید واژه: معلمان, ویژگی‌های شخصیتی, اضطراب رایانه, هوش‌هیجانی,
چکیده مقاله :
هدف پژوهش حاضر، پیش‌بینی اضطراب رایانه بر اساس مؤلفه‌های هوش‌هیجانی و ویژگی‌های شخصیتی معلمان در سال تحصیلی 92 - 1391 می‌باشد. پژوهش حاضر، یک پژوهش همبستگی و از نوع پیش‌بینی است. جامعه این پژوهش تمامی معلمان دبیرستان‌های دولتی منطقه مرکزی شهر کرج بودند. از بین آنها، تعداد 160 نفر (83 مرد و 77 زن)، به عنوان نمونه آماری و به روش نمونه‌گیری خوشه‌ای چند‌مرحله‌ای انتخاب شدند. برای جمع‌آ‌‌وری داده‌ها از پرسش‌نامه هوش‌هیجانی شرینگ، مقیاس ویژگی‌های شخصیتی نئو، اضطراب رایانه‌ای هنسن و همکاران و پرسش‌نامه جمعیت‌شناسی استفاده شد. داده‌ها از طریق ضریب همبستگی پیرسون، رگرسیون گام به گام و آزمون تی مستقل تحلیل شدند. نتایج این پژوهش نشان داد که بین اضطراب رایانه با مؤلفه‌های هوش‌هیجانی و ویژگی‌های برون‌گرایی، تجربه‌پذیری، توافق‌پذیری و با‌وجدان بودن ارتباط معکوس و معنادار (01/0> P) و بین اضطراب رایانه و روان‌رنجوری ارتباط مثبت و معناداری وجود دارد (01/0>P). نتایج رگرسیون گام به گام نشان داد که از بین مؤلفه‌های هوش‌هیجانی، به ترتیب مؤلفه‌های خود‌انگیزی، خودآگاهی، هم‌دلی و خود کنترلی بیشترین میزان واریانس (در مجموع 36 درصد) متغیر وابسته را پیش‌بینی، و از ویژگی‌های شخصیتی به ترتیب خرده مؤلفه‌های روان‌رنجوری و تجربه‌پذیری، بیشترین میزان واریانس (در مجموع 16 درصد) متغیر وابسته را پیش‌بینی می‌کنند. هم‌چنین، براساس جنسیت و سن، در نمره اضطراب رایانه‌ای تفاوت معناداری مشاهده نشد.
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.
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