bayesian-knowledge-tracing

Open-source, offline-capable adaptive learning desktop app — BKT + SM-2 spaced repetition, hands-on terminal labs, BYOK AI tutor. MIT.

An open-source AI tutor. Learn complex subjects from scratch: the model you connect writes the course, Terramentor plans it to your deadline, asks you to prove each topic and schedules reviews with FSRS-6.

🧠 AI-powered cognitive learning OS with knowledge graph diagnosis, Bayesian mastery tracking, spaced repetition study planner, and rubric-aware grading — built for Indian competitive exams (NEET, JEE, CUET)

A tutoring agent that changes its own objective when it works out why you're failing. LangGraph, Bayesian Knowledge Tracing and a prerequisite DAG: the model proposes, a deterministic policy guard disposes.

ExemplAI is an example-based learning intelligent tutor for programming

Multi-agent adaptive SAT tutoring system — a hierarchical Planner→Orchestrator→Specialist agent stack with Bayesian Knowledge Tracing, prerequisite-aware topic routing, and LLM-generated, symbolically-verified questions (FastAPI + vanilla JS).

A Socratic dialogue engine that will not give you the answer. Knowledge dependency graph + Bayesian knowledge tracing + two-stage misconception diagnosis.

Implements a grid-search method to find BKT parameters using a shared c library in Python. The shared c library implements the grid search to speed up the nested for loops. Functions to estimate BKT parameters, predictions, collapsed & non-collapsed rmse, auc_roc, accuracy and implement student-stratified k-fold cross-validation.

Adaptiver Stochastik-Klausur-Coach, der Bayes-Inferenz nutzt, um deine Schwächen zu finden.

AI-powered adaptive tutor using PPO reinforcement learning + DKVMN knowledge tracing to personalize learning paths in real time. Dynamically selects concepts per student's knowledge state. Built with React, Django, PyTorch & trained on 131M+ interactions.

Adaptive precalculus diagnostic PWA: descends a 58-node prerequisite graph to find the algebra underneath a wrong answer, and reports which misconception the student actually applied. Static, offline, no backend.

Learning analytics lab; immutable Parquet events, SQLite catalog, DuckDB/Polars, Bayesian knowledge tracing, item-response models, temporal calibration

Modeling Knowledge Progression in MOOCs. An extended BKT model that integrates lecture engagement and time-gap data to improve knowledge state estimation in online learning environments.

Python toolkit that analyses fine-grained logs of classroom programming (edits, runs, chatbot use) for my honours research on AI in education.

An AI-Powered Adaptive Learning Platform Using Generative AI and Bayesian Knowledge Tracing(BKT)

Adaptive Platform for Learning Java powered by a hybrid BKT-RL model, featuring personalized challenges, performance tracking, and mastery-based progression.

Multimodal Adaptive Socratic Teaching Engine powered by Google Gemini 2.5 Flash, Dynamic SVG Whiteboards, Two-Way Voice, and Bayesian Knowledge Tracing.

AI in Education research bundle benchmarking priors, BKT, PFA, and GRU knowledge tracing on learner-disjoint ASSISTments 2009 data.

Adaptive learning platform for Grades 1–8 with evidence-aware Bayesian Knowledge Tracing, explainable activity planning, and personalized learning paths.