Early Detection of Students at Risk – Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods. Berens, J., Schneider, K., Görtz, S., Oster, S., & & Burghoff, J. Journal of Educational Data Mining, 11(3):1–41. doi bibtex @article{berens_j_schneider_k_gortz_s_oster_s__burghoff_j_early_nodate,
title = {Early {Detection} of {Students} at {Risk} – {Predicting} {Student} {Dropouts} {Using} {Administrative} {Student} {Data} and {Machine} {Learning} {Methods}},
volume = {11},
doi = {https://doi.org/10.5281/zenodo.3594771},
number = {3},
journal = {Journal of Educational Data Mining},
author = {{Berens, J., Schneider, K., Görtz, S., Oster, S., \& Burghoff, J.}},
pages = {1--41}
}
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