Source code and data sets for Going Deeper with Deep Knowledge Tracing (EDM-2016)
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Updated
Feb 16, 2017 - Python
Source code and data sets for Going Deeper with Deep Knowledge Tracing (EDM-2016)
Source codes and datasets for paper "Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives" (AAAI2024)
Repository with ontologies for creating a student model for scratch related events
PyTorch implementation of Attentive Knowledge Tracing for student performance prediction with AKT-PID and AKT-CID model variants.
Mastery Measurement API and CLI: fits Bayesian Knowledge Tracing and Item Response Theory models to learner response logs, for AI tutoring agents and edtech products that need real psychometric mastery scoring.
Source codes and datasets for paper "Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives" (AAAI 2024)
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.
Production-ready API for classifying student mastery levels (Attempted, Familiar, Proficient) using Bayesian Beta-Binomial models with uncertainty quantification.
PyTorch implementation of SAINT+ for Transformer-based knowledge tracing and student performance prediction using time-aware educational interaction features.
TensorFlow implementation of Learning Behavior-aware Knowledge Tracing for modeling reading proficiency using response time, attempts, and hint behavior.
📊 Build and deploy a beta-binomial classifier API using FastAPI and Docker for scalable machine learning solutions with best engineering practices.
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