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ML4ED's Projects

beerslaw-lab icon beerslaw-lab

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

behavioral-oversampling icon 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

bias-at-a-second-glance icon bias-at-a-second-glance

Bias analysis of german language models (BERT, T5, GPT2), with a case study on educational peer review data.

evaluating-explainers icon evaluating-explainers

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

evolutionary-srl-clustering icon evolutionary-srl-clustering

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

fc-clustering icon fc-clustering

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

flipped-classroom icon flipped-classroom

Success prediction in flipped classrooms via clickstreams. Published at EDM 2021.

inquiry-skills icon inquiry-skills

Teaching and measuring inquiry skills in interactive simulations, published at AIED 2024.

interpretcc icon interpretcc

InterpretCC, an inherently interpretable neural network architecture

jdpls-tutorial icon jdpls-tutorial

Student Modeling (Bayesian Knowledge Tracing) lecture for the JDPLS program.

meta-transfer-learning icon 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.

mlbd-2021 icon mlbd-2021

Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2021.

mlbd-2022 icon mlbd-2022

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

mlbd-2023 icon mlbd-2023

Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2023.

ripple icon ripple

Interpretability on raw time series with graph neural nets and concept activation vectors. Featured at AAAI 2023.

skillthrills icon skillthrills

Prototype of the SubProject 03 for the SCESC Innosuisse Project

unraveling-llm-bias icon unraveling-llm-bias

Downstream bias analysis (WEAT, SEAT, GenBit) for real-time educational writing support using LLMs. Published at EMNLP Findings 2023.

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