ML4ED

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

Switzerland

Pinned Repositories

beerslaw-lab
Code for "Generalisable Methods for Early Prediction in Interactive Simulations for Education" published at EDM 2022.
Language:HTML2 1 00
evaluating-explainers
Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
Language:PureBasic13 1 32
evolutionary-srl-clustering
Code for the paper "Evolutionary Clustering of Apprentices' Behavior in Online Learning Journals for Vocational Education" published at SFUVET 2022.
Language:Python2 0 02
fc-clustering
Code for the paper "Identifying and Comparing Multi-Dimensional Student Profiles across Flipped Classrooms" published at AIED 2022.
Language:Python0 0 01
flipped-classroom
Success prediction in flipped classrooms via clickstreams. Published at EDM 2021.
Language:Python4 3 03
meta-transfer-learning
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.
Language:Python4 1 03
mlbd-2021
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2021.
Language:Jupyter Notebook9 2 06
mlbd-2022
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2022.
Language:Jupyter Notebook813
mlbd-2023
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2023.
Language:Jupyter Notebook718
ripple
Interpretability on raw time series with graph neural nets and concept activation vectors. Featured at AAAI 2023.
Language:Jupyter Notebook5 3 02

ML4ED's Repositories

epfl-ml4ed/evaluating-explainers
Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
Language:PureBasic13 1 32
epfl-ml4ed/mlbd-2021
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2021.
Language:Jupyter Notebook9 2 06
epfl-ml4ed/mlbd-2022
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2022.
Language:Jupyter Notebook813
epfl-ml4ed/mlbd-2023
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2023.
Language:Jupyter Notebook718
epfl-ml4ed/ripple
Interpretability on raw time series with graph neural nets and concept activation vectors. Featured at AAAI 2023.
Language:Jupyter Notebook5 3 02
epfl-ml4ed/flipped-classroom
Success prediction in flipped classrooms via clickstreams. Published at EDM 2021.
Language:Python4 3 03
epfl-ml4ed/meta-transfer-learning
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.
Language:Python4 1 03
epfl-ml4ed/beerslaw-lab
Code for "Generalisable Methods for Early Prediction in Interactive Simulations for Education" published at EDM 2022.
Language:HTML2 1 00
epfl-ml4ed/bias-at-a-second-glance
Bias analysis of german language models (BERT, T5, GPT2), with a case study on educational peer review data.
Language:Jupyter Notebook2 2 00
epfl-ml4ed/evolutionary-srl-clustering
Code for the paper "Evolutionary Clustering of Apprentices' Behavior in Online Learning Journals for Vocational Education" published at SFUVET 2022.
Language:Python2 0 02
epfl-ml4ed/interpretcc
InterpretCC, an inherently interpretable neural network architecture
Language:Jupyter Notebook2
epfl-ml4ed/runai-tutorial
Language:Dockerfile22
epfl-ml4ed/trusting-explainers
Validating post-hoc explainers with learning science experts (LAK 2023).
Language:Jupyter Notebook2 0 0
epfl-ml4ed/interpretable-clustering
Explainable clustering method used to extract interpretable student profiles. Featured at AIED 2024.
Language:Jupyter Notebook1
epfl-ml4ed/unraveling-llm-bias
Downstream bias analysis (WEAT, SEAT, GenBit) for real-time educational writing support using LLMs. Published at EMNLP Findings 2023.
Language:Jupyter Notebook1
epfl-ml4ed/fc-clustering
Code for the paper "Identifying and Comparing Multi-Dimensional Student Profiles across Flipped Classrooms" published at AIED 2022.
Language:Python0 0 01
epfl-ml4ed/SkillThrills
Prototype of the SubProject 03 for the SCESC Innosuisse Project
Language:Jupyter Notebook00
epfl-ml4ed/behavioral-bias-investigation
Language:Python
epfl-ml4ed/behavioral-oversampling
Repository for the LAK 2023 paper: "Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling" by Jade Mai Cock, Muhammad Bilal, Richard Lee Davis, Mirko Marras and Tanja Käser
Language:Python1 0
epfl-ml4ed/courserec
Language:Python
epfl-ml4ed/gelex
Language:Jupyter Notebook1
epfl-ml4ed/inquiry-skills
Teaching and measuring inquiry skills in interactive simulations, published at AIED 2024.
Language:Jupyter Notebook
epfl-ml4ed/JCRec
Language:Python
epfl-ml4ed/jdpls-tutorial
Student Modeling (Bayesian Knowledge Tracing) lecture for the JDPLS program.
Language:Jupyter Notebook
epfl-ml4ed/mlbd-exam-2022
Language:Jupyter Notebook
epfl-ml4ed/mock-exam-2022
Language:Jupyter Notebook0 0
epfl-ml4ed/PharmaSimText-LLM-RL
Language:Python
epfl-ml4ed/seq_courserec
Language:Jupyter Notebook
epfl-ml4ed/srl-navigation