Predicting student dropout in subscription-based online learning environments: the beneficial impact of the logit leaf model
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Recent developments in predicting student attrition propose the use of data acquired from disparate sources in addition to more sophisticated algorithms such as deep feed-forward neural networks and hybrid logit leaf model.
“Recent developments in predicting student attrition propose the use of data acquired from disparate sources in addition to more sophisticated algorithms such as deep feed-forward neural networks (Imran et al., 2019) and hybrid logit leaf model (Coussement et al., 2020).”
From Proactive and reactive engagement of artificial intelligence methods for education: a review (2023) · cites this paper as Coussement et al., 2020
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Cited by
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Proactive and reactive engagement of artificial intelligence methods for education: a review
Mallik, S., & Gangopadhyay, A. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1151391 · Cited by 139 · see citing works
Almulla, M. A., & Al-Rahmi, W. M. (2023) · Sustainability · doi:10.3390/su15053978 · Cited by 130 · see citing works
- Authors
- Coussement, K., Phan, M., De Caigny, A., Benoit, D. F., & Raes, A.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Ghent University (BE)
- IMEC (BE)
- Corresponding author
- Coussement, Kristof
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 135
- Pages
- 113325
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W3029464237
- Cited by
- 125
- References
- 68
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 18 · 2023: 31 · 2022: 23 · 2021: 27 · 2020: 3
- FWCI
- 19.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Decision Support Systems (acceptedVersion)
- HAL (submittedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Lirias (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Social Sciences › Demography › Evasion and Academic Success Factors
- Keywords
- student dropout prediction, student retention, model interpretability, student demographics, student engagement, at-risk students
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