فصلنامه روندها و دستاوردها در فناوری یادگیری

فصلنامه روندها و دستاوردها در فناوری یادگیری

پیش‌بینی استفاده از فناوری‌های دیجیتال با استفاده از ویژگی‌های شخصیتی، تاب آوری و سبک‌های دلبستگی

نوع مقاله : مقاله پژوهشی

نویسندگان
1 گروه علوم تربیتی_دانشگاه پیام نور_تهران_ایران
2 کارشناسی ارشد برنامه‌ریزی آموزشی، دانشگاه پیام نور، سیستان بلوچستان
چکیده
پژوهش حاضر با هدف پیش‌بینی استفاده از فناوری‌های دیجیتال با استفاده از ویژگی‌های شخصیتی، تاب آوری و سبک‌های دلبستگی انجام شده است. مطالعه حاضر از نظر هدف به عنوان یک تحقیق توصیفی و از نظر روش تحقیق همبستگی می‌باشد. جامعه آماری تحقیق حاضر شامل کلیه دانشجویان دانشگاه پیام نور قشم بود که تعداد کل آن‌ها 3000 نفر برآورد شد. نمونه‌گیری در این پژوهش به صورت نمونه‌گیری طبقه‌ایی خواهد بود بدین صورت که از بین کلیه دانشجویان دانشگاه پیام نور قشم دانشکده علوم انسانی انتخاب شد و سپس از بین گروه‌ها، گروه علوم انسانی و در گروه علوم انسانی رشته‌های علوم تربیتی و روانشناسی انتخاب شد. تعداد دانشجویان در این گروه تعداد 1200 نفر برآورد شد که با توجه به جدول مورگان تعداد 291 نفر به صورت نمونه انتخاب شد. ابزار گردآوری اطلاعات در پژوهش حاضر پرسشنامه کاربرد فناوری دیجیتال (2022)، پرسشنامه ویژگی های شخصیتی (باس وهمکاران، 1975) و پرسشنامه تاب آوری کانر- دیویدسون (2003) بود. داده‌های به دست آمده در پژوهش حاضر در نرم‌افزار Spss-26 با روش تحلیل رگرسیون چندگانه تحلیل شدند. نتایج نشان داد که شیب خط رگرسیونی استاندارد شده متغیر ویژگی‌های شخصیتی برابر (0.852)، برای متغیر تاب‌آوری برابر (0.09)، برای متغیر سبک‌های دلبستگی برابر (0.01-) می‌باشد و با توجه به این که سطح معنی داری این ضرایب در متغیر ویژگی‌های شخصیتی کمتر از 0.05 می‌باشد این ضریب اختلاف معنی داری با صفر دارد و در نتیجه فرضیه اول (پیش‌بینی استفاده از فناوری دیجیتال با استفاده از ویژگی‌های شخصیتی) پژوهش تایید می‌شود و فرضیه دوم (پیش‌بینی استفاده از فناوری دیجیتال با استفاده از تاب‌آوری)و سوم (پیش-بینی استفاده از فناوری دیجیتال با استفاده از سبک‌های دلبستگی) پژوهش رد می‌شود.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Predicting The Use of Digital Technologies Using Personality Traits, Resilience, and Attachment Styles

نویسندگان English

Amir Sabzipour 1
islam balouch 2
1 Department of Educational Sciences, Payame Noor University, Tehran, Iran
2 Educational Planning, Payame Noor University - Sistan and Baluchestan Chabahar
چکیده English

The present study was conducted with the aim of predicting the use of digital technologies using personality traits, resilience, and attachment styles. The present study is a descriptive study in terms of purpose and a correlational study in terms of research method. The statistical population of the present study included all students of Payam Noor University of Qeshm, whose total number was estimated to be 3000. The sampling in this study will be stratified sampling, in which all students of the Faculty of Humanities of Payam Noor University of Qeshm were selected from among the groups, the Humanities Department, and the Educational Sciences and Psychology Department were selected from among the groups. The number of students in this group was estimated to be 1200, of which 291 were selected as a sample according to the Morgan table. The data collection tools in the present study were the Digital Technology Usage Questionnaire (2022), the Personality Traits Questionnaire (Bass et al., 1975), and the Connor-Davidson Resilience Questionnaire (2003). The data obtained in the present study were analyzed in the Spss-26 software using multiple regression analysis. The results showed that the slope of the standardized regression line for the personality traits variable is (0.852), for the resilience variable is (0.09), and for the attachment styles variable is (-0.01). Considering that the significance level of these coefficients in the personality traits variable is less than 0.05, this coefficient has a significant difference with zero. As a result, the first hypothesis (prediction of the use of digital technology using personality traits) of the study is confirmed, and the second hypothesis (prediction of the use of digital technology using resilience) and the third hypothesis (prediction of the use of digital technology using attachment styles) of the study are rejected.

کلیدواژه‌ها English

Technology
Digital Technology
Resilience
Personality Traits
Attachment Styles
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  • تاریخ دریافت 15 فروردین 1404
  • تاریخ بازنگری 05 خرداد 1404
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