تحلیل شبکه های کتابشناختی در حوزه یادگیری معکوس

نویسندگان
1 محقق پسا‌دکتری، گروه مدیریت و برنامه‌ریزی آموزشی، دانشکده‌علوم تربیتی و روان‌شناسی، دانشگاه‌الزهرا (س).
2 استادیار گروه علوم تربیتی دانشگاه بوعلی سینا ، همدان، ایران
3 استادیارگروه مهندسی کامپیوتر دانشگاه خواجه نصیر طوسی، تهران، ایران
چکیده
زمینه و هدف: هدف از پژوهش حاضر، ارائه دیدی جامع از وضعیت جاری پژوهش ها در حوزه یادگیری و کلاس درس معکوس است. مطالعه حاضر کوششی از نوع علم سنجی به منظور استخراج و تحلیل شبکه های کتابشناختی در این حوزه است که بر اساس نمایه های استنادی علوم (ISI) انجام گرفته‌است.

روش پژوهش: بدین منظور با استفاده از تکنیک جستجوی نظامند، مجموعه تولیدات علمی نمایه شده در زمینه یادگیری و کلاس درس معکوس بین سال‌های 1990 تا 2018 از پایگاه اطلاعاتی وب آو ساینس (3259 رکورد) استخراج شد. به منظور تحلیل شبکه های کتابشناختی و با استفاده از تکنیک متن کاوی داده‌ها وارد نرم افزار VOSviewer گردید. تکنیک متن کاوی بر روی کلمات کلیدی، عناوین و چکیده مقالات به منظور شبکه گراف‌های علمی پیاده سازی شد.

یافته ها: تحلیل ها در خصوص مجموعه تولیدات علمی منتشر شده به تفکیک سال، دانشگاه‌ها و موسسات آموزش عالی پرکار و کشورها در جداولی نشان داده شد. تکنیک شبکه های کتابشناختی بر روی کشورها و دانشگاه‌های پرکار به منظور شناسایی میزان همکاری آنها در تولید علم در این حوزه پیاده گردید. همچنین بررسی تولیدات علمی با کیفیت از طریق میزان ارجاعات، از جمله یافته های این پژوهش بود.

نتیجه گیری: حوزه یادگیری معکوس از حوزه‌های جدید آموزشی است که ارتباط آن با خیلی از موضوعات دیگر بررسی نشده و همچنین ابعاد مختلف آن از نظر پژوهشی به اشباع کافی نرسیده است و جای واکاوی عمیق دارد.
کلیدواژه‌ها

عنوان مقاله English

Bibliometric Networks on Analyze Flipped Learning Research

چکیده English

Aim: The purpose is to provide a comprehensive overview of the current state of research in the field of flipped learning and classroom. It is a science metrics attempt to extract and analyze bibliographic networks based on the international scientific indexing (ISI)

Methodology: Systematic search technique was applied: A set of scientific productions indexed in the field of flipped learning and classroom between 1990 and 2018 extracted from the Web of Science Database (3259 records). VOS viewer software was used to analyze bibliographic networks using data mining technique. Text mining techniques were implemented on keywords, titles, and abstracts in order to network scientific graphs.

Findings: Analyzes of published scientific product collections by year, Universities and institutions of higher education and countries are revealed in tables. Bibliographic networking techniques have been applied to countries and Universities to identify the extent of their contribution to science production. The findings of this study were also used to evaluate the quality of scientific output through the number of citations.

Conclusion: Flipped learning is a new educational topic which its significance to other subjects has not been explored nor its various dimensions have been sufficiently and effectively researched.

کلیدواژه‌ها English

flipped learning
Text-mining
Bibliometric Networks
Scient Metrics
Scientific Graphs Network
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