Document Type : scientific-research
Authors
1 ، دکتری مدیریت رسانه، دانش آموخته دانشگاه تهران
2 Ma. Eslami Of Tehran University
3 Student Of Ma of Tarbiat Modarres University
Abstract
Abstract
Data mining as a science is a search process for finding new, valuable, and unknown information among a wealth of data. This approach is among the top 10 developing knowledge that will face the next decade with a technological revolution and has been expanding rapidly in recent years. The purpose of this research is to explore learners' behavior in interactive educational environments using data mining algorithms. Exploration and extraction of meaningful relationships among different factors with the help of data mining algorithms can be used to provide solutions to improve learners' performance. The research instrument was a questionnaire. The validity of the questionnaire was obtained through content analysis and its reliability was measured through re-testing. The data collection discussed in this study relates to the activities and interactions of 200 active students in a university social network. After gathering information about learners' interactions, the Apriori algorithm of data mining is used to analyze the behavior of learners through the use of rules. The main goal is to facilitate the education along with obtaining the proficiency of the courses. Improved interactive content is obtained from feedback information based on the data mining techniques of the data management system. Therefore, the results of this research can help educational system managers to plan their education and optimize educational processes in the interactive environment.
Keywords
Article Title [Persian]
بررسی رفتارهای فراگیران در محیط های آموزشی تعاملی با الگوریتم های داده کاوی
Author [Persian]
- maryam haghshenas 1
Abstract [Persian]
داده کاوی به عنوان یک علم یک فرآیند جستجو برای یافتن اطلاعات جدید، ارزشمند و ناشناخته در میان انبوهی از داده ها است. این رویکرد در میان 10 دانش در حال توسعه برتر است که دهه آینده با یک انقلاب تکنولوژیکی مواجه خواهد شد و در سال های اخیر به سرعت در حال گسترش است. هدف این تحقیق بررسی رفتار فراگیران در محیط های آموزشی تعاملی با استفاده از الگوریتم های داده کاوی است. کاوش و استخراج روابط معنادار بین عوامل مختلف با کمک الگوریتم های داده کاوی می تواند برای ارائه راه حل هایی برای بهبود عملکرد فراگیران مورد استفاده قرار گیرد. ابزار تحقیق پرسشنامه بود. روایی پرسشنامه از طریق تحلیل محتوا و پایایی آن از طریق آزمون مجدد سنجیده شد. گردآوری داده های مورد بحث در این پژوهش مربوط به فعالیت ها و تعاملات 200 دانشجوی فعال در یک شبکه اجتماعی دانشگاهی است. پس از جمع آوری اطلاعات در مورد تعاملات فراگیران، از الگوریتم Apriori داده کاوی برای تجزیه و تحلیل رفتار فراگیران از طریق استفاده از قوانین استفاده می شود. هدف اصلی تسهیل آموزش همراه با کسب مهارت در دوره ها است. محتوای تعاملی بهبود یافته از اطلاعات بازخورد مبتنی بر تکنیک های داده کاوی سیستم مدیریت داده به دست می آید. بنابراین، نتایج این تحقیق می تواند به مدیران سیستم آموزشی کمک کند تا آموزش خود را برنامه ریزی کنند و فرآیندهای آموزشی را در محیط تعاملی بهینه کنند.
Keywords [Persian]
- علوم رفتاری
- فراگیران تعاملی
- الگوریتم های داده کاوی
- قوانین انجمن
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