OULAD MOOC Dropout and Result Prediction using Ensemble, Deep Learning and Regression Techniques
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Ioana Ghergulescu | Arghir-Nicolae Moldovan | Nikhil Indrashekhar Jha | Ioana Ghergulescu | Arghir-Nicolae Moldovan | Nikhil Indrashekhar Jha
[1] Shin Kiyohara,et al. Machine learning approaches for ELNES/XANES. , 2020, Microscopy.
[2] Qian Zhang,et al. Modeling and Predicting Learning Behavior in MOOCs , 2016, WSDM.
[3] Bowei Hong,et al. Discovering learning behavior patterns to predict dropout in MOOC , 2017, 2017 12th International Conference on Computer Science and Education (ICCSE).
[4] Giuseppe Riccardi,et al. Predicting students' final exam scores from their course activities , 2015, 2015 IEEE Frontiers in Education Conference (FIE).
[5] Andy Laws,et al. The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[6] Linda Corrin,et al. Predicting success: how learners' prior knowledge, skills and activities predict MOOC performance , 2015, LAK.
[7] Martin Hlosta,et al. Open University Learning Analytics dataset , 2017, Scientific Data.
[8] Nitesh V. Chawla,et al. MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable , 2017, WWW.
[9] Wanli Xing,et al. Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention , 2019 .
[10] Zdenek Zdráhal,et al. Ouroboros: early identification of at-risk students without models based on legacy data , 2017, LAK.
[11] Chao Li,et al. Machine learning application in MOOCs: Dropout prediction , 2016, 2016 11th International Conference on Computer Science & Education (ICCSE).
[12] Hua Li,et al. Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[13] Leonidas J. Guibas,et al. Deep Knowledge Tracing , 2015, NIPS.
[14] David E. Pritchard,et al. Studying Learning in the Worldwide Classroom Research into edX's First MOOC. , 2013 .
[15] Jihie Kim,et al. Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks , 2015, AIED Workshops.
[16] Xiu Li,et al. Finding out Reasons for Low Completion in MOOC Environment: An Explicable Approach Using Hybrid Data Mining Methods , 2017 .
[17] Zhihai Wang,et al. A Time Series Classification Method for Behaviour-Based Dropout Prediction , 2018, 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT).
[18] Mingjie Tan,et al. Prediction of Student Dropout in E-Learning Program Through the Use of Machine Learning Method , 2015, Int. J. Emerg. Technol. Learn..
[19] Hendrik Heuer,et al. Student Success Prediction and the Trade-Off between Big Data and Data Minimization , 2018, DeLFI.
[20] E. Zaluska,et al. Predicting attrition from Massive Open Online Courses in FutureLearn and edX , 2017 .
[21] Zenun Kastrati,et al. MOOC dropout prediction using machine learning techniques: Review and research challenges , 2018, 2018 IEEE Global Engineering Education Conference (EDUCON).
[22] Chunyan Miao,et al. Deep Model for Dropout Prediction in MOOCs , 2017, ICCSE'17.
[23] Girish Balakrishnan,et al. Predicting Student Retention in Massive Open Online Courses using Hidden Markov Models , 2013 .
[24] Andy Laws,et al. Machine learning approaches to predict learning outcomes in Massive open online courses , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).