A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
165 evidence-grounded AI skills for teachers, school leaders and EdTech builders—pedagogy, learning science, curriculum, assessment and regeneration. Claude, Codex and Hermes.
[WWW '25 Oral - GenMentor] Official code of our paper "LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System", accepted by WWW 2025 (Industry Track) as an Oral Presentation.
An Education Tutoring Chatbot based on Learning Science Principles powered by Large Language Models
An open-source MCP server that turns any LLM into an Intelligent Tutoring System. 50 years of cognitive science, MIT licensed.
Intelligent, personalized feedback for students using artificial intelligence
Misconception-based tutor designed to help people learn Linear Temporal Logic.
Code to generate conversations with Code Soliloquies for Reliable Calculations
Intelligent Tutoring System for AVL Tree using CTAT
Model Development with the DAiSEE Dataset for an Intelligent Tutoring System recognizing Comprehension Problems during Learning
Program codes for latent transition analysis in Mplus and hidden Markov analysis in R
Voice-narrated math figures from one-line prompts. Live tutor at khayyammath.com. Paper: https://doi.org/10.5281/zenodo.20367146 Videos Samples: https://youtu.be/2BDtxlCl7qM https://youtu.be/IL_JO7H-Fb8 https://youtu.be/2cboozNW9OM
Intelligent Tutor System based on LLM. We use this system to train interns/part-time workers internally
Proof-of-Concept full-stack AI engineer: React + NestJS + PostgreSQL + Docker – intelligent LMS (EduAI) demo.
具备学情诊断与持续规划能力的自适应伴学智能体（FastAPI + React + RAG，掌握度只认独立有效证据）
This is the codebase for the prototype of a electronics virtual laboratory that is monitored by intelligent tutoring systems created using CTAT
An Intelligent Tutoring System aimed to support the learning procces of Natural Deduction in the context of Propositional and First Order Logics.
OSS-first, local-first AI tutor for children — supplements school, never replaces it. No cloud, no accounts, no child data leaving the device.
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.
SigmaMentor（2σ 导师）为每个学生配一位一对一 AI 导师。用过程数据把 AI 时代的高校学情重新变得可见，并自动干预。
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