Jan 17, 2018 · Grade prediction methods seek to estimate a grade that a student may achieve in a course that she may take in the future (e.g., next term).

The experimental results demonstrate that the proposed additive latent effect models significantly outperform the baselines on grade prediction problem and ...

In this paper, we propose additive latent effect models that incorporate these factors to predict the student next-term grades. Specifically, the proposed ...

The past decade has seen a growth in the development and deployment of educational technologies for assisting college-going students in choosing majors, ...

Additive latent affect (ALE) along with matrix factorization (MF) were used to build a student grade prediction model (Ren et al., 2018) . In (Acharya and Sinha ...

Zhiyun Ren, Xia Ning, Huzefa Rangwala: ALE: Additive Latent Effect Models for Grade Prediction. SDM 2018: 477-485. manage site settings.

ALE: Additive Latent Effect Models for Grade Prediction. Z. Ren, X. Ning, and H. Rangwala. CoRR, (2018 ). 1. 1. Meta data. BibTeX key: journals/corr/abs ...

Grade prediction methods seek to estimate a grade that a student may achieve in a ... ALE: Additive Latent Effect Models for Grade Prediction. 2018·arXiv.

The deep learning inspired approach provides added flexibility in learning the latent spaces in comparison to MF approaches.

ALE: Additive Latent Effect Models for Grade Prediction. Z Ren, X Ning, H Rangwala. SIAM: SIAM International Conference on Data Mining (SDM18), 2018. 16, 2018.