MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine
المؤلفون المشاركون
Feng, Jun
Chen, Jing
Sun, Xia
Wu, Nannan
Yang, Zhengzheng
Chen, Sushing
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-18
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Massive Open Online Courses (MOOCs) have boomed in recent years because learners can arrange learning at their own pace.
High dropout rate is a universal but unsolved problem in MOOCs.
Dropout prediction has received much attention recently.
A previous study reported the problem of learning behavior discrepancy leading to a wide range of fluctuation of prediction results.
Besides, previous methods require iterative training which is time intensive.
To address these problems, we propose DT-ELM, a novel hybrid algorithm combining decision tree and extreme learning machine (ELM), which requires no iterative training.
The decision tree selects features with good classification ability.
Further, it determines enhanced weights of the selected features to strengthen their classification ability.
To achieve accurate prediction results, we optimize ELM structure by mapping the decision tree to ELM based on the entropy theory.
Experimental results on the benchmark KDD 2015 dataset demonstrate the effectiveness of DT-ELM, which is 12.78%, 22.19%, and 6.87% higher than baseline algorithms in terms of accuracy, AUC, and F1-score, respectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Jing& Feng, Jun& Sun, Xia& Wu, Nannan& Yang, Zhengzheng& Chen, Sushing. 2019. MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1197603
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Jing…[et al.]. MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1197603
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Jing& Feng, Jun& Sun, Xia& Wu, Nannan& Yang, Zhengzheng& Chen, Sushing. MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1197603
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1197603
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر