A nonlinear state space model for identifying at-risk students in open online courses

Analysis of a complex of statistical variables into principal components.

H. Hotelling · Journal of Educational Psychology · 1933 · 9.3K citations

Multidimensional Analysis, Biostatistics, Statistical Inference +4

On the limited memory BFGS method for large scale optimization

Cheng‐Di Dong, Jorge Nocedal · Mathematical Programming · 1989 · 8.3K citations

Mathematical Programming, Large-scale Global Optimization, Computational Science +11

Predicting MOOC Dropout over Weeks Using Machine Learning Methods

Marius Kloft, Felix Stiehler, Zhilin Zheng et al. · 2014 · 313 citations · Full text

Engineering, Machine Learning, Education +17

Temporal Models for Predicting Student Dropout in Massive Open Online Courses

Fei Mi, Dit‐Yan Yeung · 2015 · 267 citations

E-learning, Engineering, Machine Learning +22

Identifying At-Risk Students in Massive Open Online Courses

Jiazhen He, James Bailey, Benjamin I. P. Rubinstein et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2015 · 208 citations · Full text

E-learning, Engineering, Machine Learning +18