A recurrent neural networks based framework for at‐risk learners' early prediction and MOOC tutor's decision support-Reference-Cited by-同舟云学术

A recurrent neural networks based framework for at‐risk learners' early prediction and MOOC tutor's decision support

Published:2022-11-05 Issue:2 Volume:31 Page:270-284
ISSN:1061-3773
Container-title:Computer Applications in Engineering Education
language:en
Short-container-title:Comp Applic In Engineering

Author:

Mourdi Youssef¹^ORCID,Sadgal Mohammed²^ORCID,Elalaoui Elabdallaoui Hasna²^ORCID,El Kabtane Hamada³^ORCID,Allioui Hanane²^ORCID

Affiliation:

1. Modeling and combinatorial laboratory, Mathematics & Computer Science Department, Polydisciplinary Faculty of Safi Cadi Ayyad University Marrakech Morocco

2. Computer Systems Engineering Laboratory, Computer Science Department, Faculty of Sciences Semlalia Cadi Ayyad University Marrakech Morocco

3. SMARTE Systems and Applications (SSA) research structure, National School of Applied Sciences Cadi Ayyad University Marrakech Morocco

Publisher

Wiley

Subject

General Engineering,Education,General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cae.22582

Reference39 articles.

1. Accurate photovoltaic power forecasting models using deep LSTM-RNN

2. J.Arguello andK.Shaffer Predicting speech acts in MOOC forum posts Proc. 9th Int. Conf. Web Soc. Media (ICWSM) 2015 pp.2–11.

3. MOOC performance prediction via clickstream data and social learning networks;Brinton C. G.;Proc.—IEEE INFOCOM,2015

4. Data mining for modeling students’ performance: A tutoring action plan to prevent academic dropout

5. Predicting student attrition in MOOCs using sentiment analysis and neural networks;Chaplot D. S.;CEUR Workshop Pro,2015

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