Complete List » Learning analytics

Publications Related to Learning analytics

  1. UPM: Discovering Course Enrollment Sequences Associated with Success.

    Asmaa Elbadrawy and George Karypis. Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK19), 2019.

  1. A Study on Curriculum Planning and Its Relationship with Graduation GPA and Time To Degree.

    Sara Morsy and George Karypis. Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK19), 2019.

  1. Feature extraction for classifying students based on their academic performance.

    Agoritsa Polyzou and George Karypis. Educational Data Mining Conference, 2018.

  1. Enriching Course-Specific Regression Models with Content Features for Grade Prediction.

    Qian Hu, Agoritsa Polyzou, George Karypis, and Huzefa Rangwala. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017.

  1. Context-Aware Recommendation-Based Learning Analytics Using Tensor and Coupled Matrix Factorization.

    Faisal M. Almutairi, Nicholas D. Sidiropoulos, and George Karypis. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 11, NO. 5, 2017.

  1. Cumulative Knowledge-based Regression Models for Next-term Grade Prediction.

    Sara Morsy and George Karypis. SIAM Data Mining Conference (SDM), 2017.

  1. Grade Prediction with Course and Student Specific Models.

    Agoritsa Polyzou and George Karypis. International Journal of Data Science and Analytics, 2016.

  1. Predicting Student Performance Using Personalized Analytics.

    Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, and Huzefa Rangwala. IEEE Computer, pp. 61—69, April , 2016.

  1. Grade Prediction with Course and Student Specific Models.

    Agoritsa Polyzou and George Karypis. 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016.

  1. Domain-Aware Grade Prediction and Top-N Course Recommendation.

    Asmaa Elbadrawy and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.

  1. Personalized Multi-Regression Models for Predicting Students' Performance in Course Activities.

    Asmaa Elbadrawy, R. Scott Studham, and George Karypis. UMN CS 14-011, 2014.