arshadshk/Last_Query_Transformer_RNN-PyTorch
Implementation of the paper "Last Query Transformer RNN for knowledge tracing" in PyTorch. (Kaggle 1st place solution)
This project helps predict how likely a student is to answer the next question correctly based on their past interactions and performance. It takes in a sequence of student interactions with exercises and concept categories and outputs a prediction of correctness for future questions. Teachers, educational platform developers, and learning designers can use this to understand student knowledge progression.
No commits in the last 6 months.
Use this if you need to trace and predict a student's mastery of educational concepts over time, especially with long sequences of learning interactions.
Not ideal if you're looking for a simple, real-time feedback system without needing deep predictive analytics on student knowledge.
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Python
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Last pushed
Apr 08, 2021
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