Knowledge Tracing using RNN - Independent Study Project with Prof. Mike Mozer at CU
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Updated
Feb 7, 2024 - Jupyter Notebook
Knowledge Tracing using RNN - Independent Study Project with Prof. Mike Mozer at CU
It is the DKT+ model implemented in python3 and tensorflow1.2
An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0
Riiid! Answer Correctness Prediction
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.
A PyTorch implementation of the "Attention is All You Need" Transformer model, SAINT+ Knowledge tracing model with EarlyStopping and LRSechduler .
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network
Implementation of the paper "Last Query Transformer RNN for knowledge tracing" in PyTorch. (Kaggle 1st place solution)
GIKT: A Graph-based Interaction Model for Knowledge Tracing
"Enhancing Knowledge Tracing via Adversarial Training", ACM MM 2021 (Oral).
A repo for knowledge tracing implementation by PyTorch
🤗 AutoKT: train state-of-the-art and classical knowledge tracing models and deploy them in a scalable environment automatically.
A Curated List of Learning Materials on Machine Learning
A paper list of Knowledge Tracing models (KTMs).
The source code of our knowledge tracing model CoKT (Collaborative Embedding for Knowledge Tracing).
Hierarchical Attention Network based Explainable Knowledge Tracing
A collection of Knowledge Tracing model implementations with PyTorch
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