بررسی نقش مؤلفه‌های شایستگی مرتبط با فناوری در برنامه درسی
محورهای موضوعی : پژوهش در برنامه ریزی درسی
فریده نوری
1
(دکتری برنامه‌ریزی درسی، دانشکده علوم تربیتی و روان‌شناسی، دانشگاه آزاد اسلامی واحد اصفهان (خوراسگان)، اصفهان، ایران.)
محمد حسین یارمحمدیان
2
(استاد مرکز تحقیقات مدیریت و اقتصاد سلامت، دانشکده علوم پزشکی اصفهان، دانشگاه اصفهان، اصفهان، ایران.)
محمد علی نادی
3
(دانشیار گروه علوم تربیتی، دانشکده روان‌شناسی و علوم تربیتی، دانشگاه آزاد اسلامی واحد اصفهان (خوراسگان)، اصفهان، ایران.)
کلید واژه: مؤلفه‌های شایستگی, برنامه درسی, فناوری,
چکیده مقاله :
هدف این پژوهش بررسی نقش مؤلفه‌های شایستگی مرتبط با فناوری در برنامه درسی بود. این پژوهش در دو بخش کیفی و کمی انجام شد. در بخش کیفی با استفاده از روش تحلیل مضمون، مؤلفه‌های شایستگی مرتبط با فناوری از مقالات و اسناد شناسایی و با استفاده از نرم‌افزار Maxqda12 کدگذاری و با روش آتراید استرلینگ قالب مضامین طراحی شد. انتخاب نمونه، از طریق نمونه‌گیری هدفمند انجام و تا سر حد اشباع (22 مقاله) ادامه یافت. به‌منظور تعیین روایی محتوایی از نظر خبرگان و برای سنجش پایایی، از ضریب هولستی (818/0) بهره گرفته شد. در روش کمی، از نوع توصیفی- پیمایشی، ابتدا پرسشنامة اولیه ساخته شد و روایی محتوایی پرسشنامه توسط 10 نفر از اساتید و آگاهان خبره مورد تأیید قرار گرفت. پایایی آن نیز با روش آلفای کرونباخ به مقدار 85/0 تأیید شد، پرسشنامه نهایی پس از اجرا در میان هنرآموزان هنرستان‌های فنی و حرفه‌ای با کمک نرم‌افزار SPSS19 مورد تجزیه‌وتحلیل قرار گرفت. حجم نمونه در بخش کمی طبق فرمول کوکران 384 نفر در نظر گرفته شد. از نتایج بخش کیفی دو مؤلفه دانش و مهارت استخراج شد و یافته‌های بخش کمی نشان داد نقش مؤلفه دانش با (365/12= t و 01/0>p) و مؤلفه مهارت با (229/5= t و 01/0>p) شایستگی‌های مرتبط با فناوری در برنامه درسی بیش‌ازحد متوسط است. نتایج آزمون فریدمن نقش مؤلفه دانش از شایستگی‌های مرتبط با فناوری در برنامه درسی را بالاتر از نقش مهارت نشان داد.
The purpose of this study was to investigate the role of technology-related competency components in the curriculum.This research was done in two qualitative and quantitative sections. In the qualitative section, using the method of analysis of the subject, with the exploratory inductive approach, the components of the technology-related competence are identified from articles and documents, and coded using Maxqda12 software, and by the Atrium Sterling method template was designed. Sampling was done through targeted sampling and continued to saturation (22 articles). In order to determine the content validity of the experts, the Holstein coefficient was used to assess the reliability (0/818). In a quantitative, descriptive-survey method, an initial questionnaire was first made and the content validity of the questionnaire was verified by 10 professors and experts. Its reliability is also 0.85 by Cronbach's alpha. The final questionnaire after the implementation was analyzed among the students of technical and vocational schools with SPSS19 software. The sample size was considered to be 384 in Cochran's formula. The results showed two main components that the role of knowledge component (t=12.3365, p <0.01) and skill component (t = 229.5 and p <0.01) were too moderate in terms of technology-related curriculum. The results of Friedman's test revealed the role of the knowledge component of the competencies associated with technology in the curriculum above skill roles.
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