Knowledge Tracing using RNN - Independent Study Project with Prof. Mike Mozer at CU

UMass Amherst ML4Ed lab submission for Neurips Casual Modeling challenge

🤗 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 .

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

A paper list of Knowledge Tracing models (KTMs).

Model AKT for Knowledge Tracing

[KDD-2024] "RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes"

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).

Easy usage model lib 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)

a simple pytorch implemention of paper A Self-Attentive model for Knowledge Tracing