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@epfl-ml4ed

ML4ED

EPFL's Machine Learning for Education (ML4ED) Laboratory led by Professor Tanja Käser.

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  1. mlbd-2022 mlbd-2022 Public

    Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2022.

    Jupyter Notebook 8 13

  2. meta-transfer-learning meta-transfer-learning Public

    Models to warm-start student pass/fail performance prediction trained using meta-transfer learning on 26 courses, 100k students, and millions of interactions. Published at L@S 2022.

    Python 4 3

  3. evolutionary-srl-clustering evolutionary-srl-clustering Public

    Code for the paper "Evolutionary Clustering of Apprentices' Behavior in Online Learning Journals for Vocational Education" published at SFUVET 2022.

    Python 2 2

  4. evaluating-explainers evaluating-explainers Public

    Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.

    PureBasic 13 2

  5. fc-clustering fc-clustering Public

    Code for the paper "Identifying and Comparing Multi-Dimensional Student Profiles across Flipped Classrooms" published at AIED 2022.

    Python 1

  6. beerslaw-lab beerslaw-lab Public

    Code for "Generalisable Methods for Early Prediction in Interactive Simulations for Education" published at EDM 2022.

    HTML 2

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