Explore @CAHLR Open Source projects

Computational Approaches to Human Learning (CAHL) Research (@CAHLR)

CAHLR

Stars
385
Global Org. Rank 27,985 (Top 9 %)
Registered almost 10 years ago
Most used languages

Python
54.5 %

JavaScript
18.2 %

Jupyter Notebook
13.6 %

C++
9.1 %

MATLAB
4.5 %
Location 🇺🇸 United States
Country Total Rank 20,847
Country Ranking

C++
1,472

MATLAB
7,220

JavaScript
8,442

pyBKT

Python implementation of Bayesian Knowledge Tracing and extensions

OATutor

Open Source Intelligent Tutoring System w/ BKT (ReactJS and Firebase)

pyBKT-examples

xBKT

dAFM

Deep / Dynamic Additive Factors Model

Communicator

goal-based-recommendation

Code and synthetic datasets for paper "Goal-based Course Recommendation"

Serendipitous-Course-Recommendation

Main Code for AskOski Explore Feature

d3-scatterplot

mooc-behavior-case-study

PLAN-BERT

communicator_models

DKT_pre

Keras implementation of DKT by Kevin Hu & Zach Pardos

khan_visualization

Visualizing tools for Khan data

Jupyter Notebook

semantic_model

moocdrop

publications

Materials, such as code and results, produced by publications from the lab

skill-equivalency

adaptive_mooc_framework

Code and data used for LAS 2017 paper

MIMSMoocs-DKT-ReviewPage

Jupyter Notebook

OATutor-Content

PLAN-BERT-TKDE

The source code and data to reproduce the reported results in PLAN-BERT's TKDE paper.

Jupyter Notebook

plan-bert-aaai