MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine
Joint Authors
Feng, Jun
Chen, Jing
Sun, Xia
Wu, Nannan
Yang, Zhengzheng
Chen, Sushing
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197603