Early prediction of learners at risk in self-paced education: A neural network approach
Authors:
- Hajra WaheedHWHajra Waheed
- Saeed-Ul HassanSHSaeed-Ul Hassan
- Raheel NawazRNRaheel Nawaz
- Naif R. AljohaniNANaif R. Aljohani
- Guanliang ChenGCGuanliang Chen
- Dragan GasevicDGDragan Gasevic
Top Cited Papers
- 22 September 2022
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 213
Abstract
No abstract availableKeywords
This publication has 53 references indexed in Scilit:
- Deep learningNature, 2015
- A novel ensemble method for classifying imbalanced dataPattern Recognition, 2015
- Explaining prediction models and individual predictions with feature contributionsKnowledge and Information Systems, 2013
- Student retention in distance education: are we failing our students?Open Learning: The Journal of Open, Distance and e-Learning, 2013
- Deconstructing disengagement2013
- A social network analysis of student retention using archival dataSocial Psychology of Education, 2011
- Interaction in distance education and online learning: using evidence and theory to improve practiceJournal of Computing in Higher Education, 2011
- Student perceptions of support services and the influence of targeted interventions on retention in distance educationDistance Education, 2010
- Forecasting with artificial neural networks:International Journal of Forecasting, 1998
- An Algorithm for Finding Best Matches in Logarithmic Expected TimeACM Transactions on Mathematical Software, 1977