ALE: Additive Latent Effect Models for Grade Prediction

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Ren, Zhiyun; Ning, Xia; Rangwala, Huzefa;
  • Subject: Computer Science - Learning
    acm: ComputingMilieux_COMPUTERSANDEDUCATION

The past decade has seen a growth in the development and deployment of educational technologies for assisting college-going students in choosing majors, selecting courses and acquiring feedback based on past academic performance. Grade prediction methods seek to estimat... View more
  • References (20)
    20 references, page 1 of 2

    [1] Charu C. Aggarwal. Recommender Systems: The Textbook. Springer Publishing Company, Incorporated, 1st edition, 2016.

    [2] Asmaa Elbadrawy and George Karypis. Domain-aware grade prediction and top-n course recommendation. Boston, MA, Sep, 2016.

    [3] Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, and Huzefa Rangwala. Predicting student performance using personalized analytics. Computer, 49(4):61-69, 2016.

    [4] Asmaa Elbadrawy, Scott Studham, and George Karypis. Personalized multi-regression models for predicting students performance in course activities. UMN CS, pages 14-011, 2014.

    [5] Ruining He, Chen Fang, Zhaowen Wang, and Julian McAuley. Vista: A visually, socially, and temporallyaware model for artistic recommendation. arXiv preprint arXiv:1607.04373, 2016.

    [6] Ruining He and Julian McAuley. Fusing similarity models with markov chains for sparse sequential recommendation. arXiv preprint arXiv:1609.09152, 2016.

    [7] Noam Koenigstein, Gideon Dror, and Yehuda Koren. Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. In Proceedings of the fifth ACM conference on Recommender systems, pages 165- 172. ACM, 2011.

    [8] Yehuda Koren, Robert Bell, and Chris Volinsky. Matrix factorization techniques for recommender systems. Computer, 42(8):30-37, August 2009.

    [9] Andrew Lan, Tom Goldstein, Richard Baraniuk, and Christoph Studer. Dealbreaker: A nonlinear latent variable model for educational data. In Proceedings of The 33rd International Conference on Machine Learning, pages 266-275, 2016.

    [10] Yannick Meier, Jie Xu, Onur Atan, and Mihaela van der Schaar. Personalized grade prediction: A data mining approach. In Data Mining (ICDM), 2015 IEEE International Conference on, pages 907-912. IEEE, 2015.

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