التنبؤ بأداء طلاب الجامعة الافتراضية السورية اعتماداً على تقنيات التنقيب في البيانات واستخراج البيانات التعليمية

الموضوعات

علوم تطبيقية وتكنولوجية

روابط وملفات

التعريف والنوع

رقم الوثيقة

0bd9cd61-ff51-45cd-a107-e942cb35b81a

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

1962262_1.pdf

بيانات النشر

ترجمة العنوان

Predicting the performance of Syrian Virtual University students using Data Mining and Educational Data Mining techniques

ألقاب المؤلفين

[{"name_ar":" عيد الدكنجي ","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"خليل عجمي ","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

Arabic

المصدر والدورية

اسم المصدر

التنبؤ بأداء طلاب الجامعة الافتراضية السورية اعتماداً على تقنيات التنقيب في البيانات واستخراج البيانات التعليمية

المحتوى والصفحات

عدد الصفحات

102

ترجمة الملخص

The rapid developments in information and communication techniques taking place recent year,make it easy for many to pursue their university or higher education more easily.These developments led to opening learning's spatial and temporal boundaries to ward virtual domain,and moving education from the classic classroom in school or university to the virtual classroom environment; therefore,attendance became electronically via Internet network,and explaining lessons and lectures are cross-communicate by video or audio.Which reflected on changing education mechanisms within the virtual environment to become closer to be a supervised learning mechanisms,instead of traditional learning ones.However,this expansion has changed the educational process pattern and its weight center represented by (student,teacher and educational content) triangle,and led to asking more questions about the performance of students,the irsituations,learning credibility and how to develop the learning process.As a result of the above,we did this research using data mining in educational data (Education Data Mining-EDM) to study BIT students in Syrian Virtual University SVU,and there courses in this program. This research is one of the first researches and thesis'sin this field in Syria. Wed is covered couple of indicators like correlation between student average and English,age,gender,student place (inside/outside Syria). In addition,we discovered the over-stay rate of students,the increment of students after Syrian Crises,relations between pre and post courses with suggestion to make changes in order or pre-classes like information security,database management and more indicators explained in details later in this thesis. We started this research with introduction to Data Mining and Educational Data Mining,after that we studied BIT students'data,its specifications and the attributes used with its type like (gender –term –age –English level) and more attributes explained latter.Then we applied classification techniques and decision trees on this data to get the results.Finally,we put some future recommendations based on the results to develop the current information system in SVU, record more student's data,and ideas to extend the research to be applied to more students,more programs and maybe more universities in Syira

كلمات الباحثين

C4.5, Classification, Decision Trees, Educational Data Mining, ID3, Naïve Bayes, Regression Models, Regression, Syrian Virtual University BIT, التنقيب في البيانات التعليمية EDM, الجامعة الافتراضية السورية SVU

إشراف وإعداد

الإشراف

خليل عجمي

الإعداد

عيد الدكنجي

الاقتباسات الببليوغرافية