A Time-Aware Approach for MOOC Dropout Prediction Based on Rule Induction and Sequential Three-Way Decisions
Author:
Affiliation:
1. Dipartimento di Scienze Aziendali - Management and Innovation Systems, Università degli Studi di Salerno, Fisciano, Salerno, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10278134.pdf?arnumber=10278134
Reference24 articles.
1. Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention
2. Three-Way Decisions on Streaming Computing Platforms Supporting Decision-Making in Complex Large Real-World Environments
3. Improving prediction of MOOCs student dropout using a feature engineering approach;ardchir;Advances in Intelligent Systems and Computing,2020
4. Comparative analysis of the learning on KDD cup 2015 dataset;nithya;Webology,2022
5. A survival analysis based volatility and sparsity modeling network for student dropout prediction
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