تقييم استخدام البيانات الضخمة في المؤسسات التعليمية باستخدام مدخل متعدد المعايير لاتخاذ القرار Evaluating Big Data Use in Educational Institutions Using Fuzzy Multi-Criteria Decision-Making Approach

نوع المستند : بحوث فی مجال المناهج وطرق التدریس

المؤلف

قسم المناهج والتدريس، کلية التربية، جامعة أم القرى، المملکة العربية السعودية.

المستخلص

المؤسسات التعليمية أصبحت تعتمد على البيانات الضخمة مؤخراً. لذلک من المهم لصناع القرار في المنظمات التعليمية بشکل عام والجامعات بشکل خاص تبني التقنيات والأدوات المساعدة للإستفادة من البيانات الضخمة في إتخاذ القرارات لتطوير جميع الجوانب المتعلقة بالعمليات التعليمية. إن التعامل مع البيانات الضخمة لإتخاذ القرارات المناسبة يعبر عنه علمياً بأنه مشکلة, وتسمى هذه المشکلة (مشکلة اتخاذ القرارات متعددة المعايير MCDM). ولمعالجة هذه المشکلة (MCDM)، أجرينا تقييمًا بواسطة بعض الخبراء باستخدام تقنية Fuzzy TOPSIS (تقنية ترتيب الأفضليات عن طريق التشابه مع الحلول المثالية) لثلاث جامعات سعودية حکومية فيما يتعلق باستخدام بياناتها الضخمة. هذا البحث يهدف إلى تقييم قوة استخدام البيانات الضخمة في المنظمات التعليمية من عوامل تعلم الطلاب والتدريس والإدارة.
Educational institutions are now days rely on the Big Data; therefore, it is important for decision makers to make helpful use of the Big Data, which is a multi-criterion decision-making problem (MCDM). To address this MCDM problem, we conducted expert’s evaluation using Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) of three Saudi public Universities regarding the use of their Big Data. This paper aims to evaluate the strength for the Big Data use from student learning, teaching and administration factors.

الكلمات الرئيسية

الموضوعات الرئيسية


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