شناسایی مولفههای دانشگاه هوشمند:براساس تکنیک تحلیل مضمون
محورهای موضوعی :خلود عباسیان راد 1 , فاطمه حمیدی فر 2 , بهارک شیرزاد 3
1 - دانشجوی دکتری مدیریت آموزش عالی ، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
2 - دانشیار، گروه مدیریت آموزش عالی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
3 - دانشیار، گروه مدیریت آموزش عالی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
کلید واژه: تحلیل مضمون, دانشگاه هوشمند, تحلیل کیفی,
چکیده مقاله :
شناسایی مولفههای دانشگاه هوشمند اهمیت بسیار بالایی برخوردار است و ضرورت دارد تا فرآیند ارائه به درستی اجرا شود؛ در واقع هدف نهایی حرفه ای شدن سیستم هوشمندی در دانشگاه ها است. پیاده سازی سیستم های هوشمند ذاتا پدیده پویائی است و وضعیت یک عامل معین در جریان فرآیند پیاده سازی می تواند تغییر کند و یا تغییر داده شود؛ لذا دیدگاهی ایستا و لحظه ای قادر به توضیح کامل فرآیند نمی باشد . هدف این پژوهش، که شناسایی مؤلفههای دانشگاه هوشمند است ، رویکرد این پژوهش کیفی و با استفاده از تکنیکهای تحلیل مضمون است ؛ جامعه پژوهش کلیه مقالات دانشگاه هوشمند در پايگاههای معتبر ايرانی و خارجی در مدت زمان(2022-2014 و 1401-1394) ، بر اساس موضوع پژوهش، اشباع نظری داده ها که به صورت هدفمند انتخاب شده اند. در نهایت برای دانشگاه هوشمند، ۸ مؤلفه در قالب مضامین پیش سازمان دهنده اولیه؛ و ۴۰ مضمون پیش سازمان دهنده ثانویه شناسایی شد. در این پژوهش با شناسایی مولفه های دانشگاه هوشمند، مولفههای اصلی دانشگاه هوشمند بر اساس مطالعات استخراج و دسته بندی شد.
Identifying the components of the Smart University is very important and it is necessary to implement the presentation process correctly; in fact, the ultimate goal is to professionalize the smart system in universities. The implementation of Intelligent Systems is inherently a dynamic phenomenon and the component of a given factor in the implementation process can be changed or changed so a static and instantaneous perspective is unable to fully explain the process the aim of this study, which is to identify the components of the intelligent university, is the approach of this qualitative research using thematic analysis techniques; the research community of all articles of the intelligent University in authoritative Iranian and foreign databases in the period(2022-2014 and 1401-1394), based on the subject of the study is the theoretical saturation of the data that has been purposefully selected. Finally, for the smart university, 8 components were identified in the form of primary pre-organizer themes; and 40 secondary pre-organizer themes. In this study, by identifying the components of the Smart University, the main components of the Smart University were extracted and categorized based on studies.
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