Corpus ID: 17348314

Semi-Markov model for simulating MOOC students

@inproceedings{Faucon2016SemiMarkovMF,
  title={Semi-Markov model for simulating MOOC students},
  author={Louis Faucon and L. Kidzinski and P. Dillenbourg},
  booktitle={EDM},
  year={2016}
}
  • Louis Faucon, L. Kidzinski, P. Dillenbourg
  • Published in EDM 2016
  • Computer Science
  • Large-scale experiments are often expensive and time consuming. Although Massive Online Open Courses (MOOCs) provide a solid and consistent framework for learning analytics, MOOC practitioners are still reluctant to risk resources in experiments. In this study, we suggest a methodology for simulating MOOC students, which allow estimation of distributions, before implementing a large-scale experiment. To this end, we employ generative models to draw independent samples of artificial students in… CONTINUE READING
    15 Citations
    Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models
    • 22
    • PDF
    Analyzing Student Strategies In Blended Courses Using Clickstream Data
    Discovery and Temporal Analysis of MOOC Study Patterns
    • 2
    • Highly Influenced
    • PDF
    Exploring students learning approaches in MOOCs
    • 1
    • PDF
    Methodology to measure of similarity in student video sequence of interactions
    Tracking Behavioral Patterns among Students in an Online Educational System
    • 3
    • PDF
    Discovery and temporal analysis of latent study patterns in MOOC interaction sequences
    • 22

    References

    SHOWING 1-10 OF 20 REFERENCES
    Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems
    • 5
    • PDF
    AIED 2013 Simulated Learners Workshop
    • 4