arshadshk/Last_Query_Transformer_RNN-PyTorch

Implementation of the paper "Last Query Transformer RNN for knowledge tracing" in PyTorch. (Kaggle 1st place solution)

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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.

education student-assessment knowledge-tracing learning-analytics edtech
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 16 / 25

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Language

Python

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Last pushed

Apr 08, 2021

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