UMass Amherst ML4Ed lab submission for Neurips Casual Modeling challenge
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Updated
May 3, 2023 - Python
UMass Amherst ML4Ed lab submission for Neurips Casual Modeling challenge
Knowledge Tracing using RNN - Independent Study Project with Prof. Mike Mozer at CU
🤗 AutoKT: train state-of-the-art and classical knowledge tracing models and deploy them in a scalable environment automatically.
A PyTorch implementation of the "Attention is All You Need" Transformer model, SAINT+ Knowledge tracing model with EarlyStopping and LRSechduler .
A paper list of Knowledge Tracing models (KTMs).
Modeling student's knowledge over time using Riiid's EdNet dataset comprising of 100M+ student interactions. EDA and Feature Engineering was performed on the data and models were trained on important features.
Riiid! Answer Correctness Prediction
A Curated List of Learning Materials on Machine Learning
Application of CL(Contrastive Learning) to Knowledge Tracing
Resources About Student Cognitive Modeling
The source code of our knowledge tracing model CoKT (Collaborative Embedding for Knowledge Tracing).
Hierarchical Attention Network based Explainable Knowledge Tracing
A repo for knowledge tracing implementation by PyTorch
WSDM'2021: Temporal Cross-Effects in Knowledge Tracing
"Enhancing Knowledge Tracing via Adversarial Training", ACM MM 2021 (Oral).
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer (WWW '23)
EduStudio is a Unified Library for Student Cognitive Modeling including Cognitive Diagnosis (CD) and Knowledge Tracing (KT).
a simple pytorch implemention of paper A Self-Attentive model for Knowledge Tracing
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