Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system
- DOI
- 10.1186/s41239-021-00300-y
- Published
- 2021-12
- Container
- International Journal of Educational Technology in Higher Education
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s41239-021-00300-y,
title = {Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system},
author = {Halit Karalar and Ceyhun Kapucu and Hüseyin Gürüler},
year = {2021},
journal = {International Journal of Educational Technology in Higher Education},
doi = {10.1186/s41239-021-00300-y},
url = {https://doi.org/10.1186/s41239-021-00300-y}
}RIS
TY - JOUR TI - Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system AU - Halit Karalar AU - Ceyhun Kapucu AU - Hüseyin Gürüler PY - 2021 JO - International Journal of Educational Technology in Higher Education DO - 10.1186/s41239-021-00300-y UR - https://doi.org/10.1186/s41239-021-00300-y ER -
APA
Karalar, H., Kapucu, C., & Gürüler, H. (2021). Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-021-00300-y
Source records
- crossref · retrieved 2026-09-26T01:03:10.371Z