arshadshk/SAINT-pytorch
SAINT PyTorch implementation
This project helps evaluate student learning by analyzing their sequence of interactions with educational exercises and their responses. It takes in a history of student attempts, including the specific exercise, its category, and whether the answer was correct or incorrect. The output is a prediction of how well a student understands a concept or will perform on future exercises. This is a tool for educational researchers, data scientists in ed-tech, or instructional designers who want to model and predict student mastery.
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Use this if you need to build a system that can accurately trace a student's knowledge progression over time based on their past performance.
Not ideal if you are looking for a pre-built, ready-to-deploy knowledge tracing application rather than a foundational model implementation.
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Python
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Last pushed
Apr 26, 2022
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