Skill Mastery

5 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

A Generalist Agent

OrigamiDream/gato DeepMind 2022

Inspired by progress in large-scale language modeling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs.

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing

arghosh/OptionTracing 19 Apr 2021

Knowledge tracing refers to a family of methods that estimate each student's knowledge component/skill mastery level from their past responses to questions.

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

deepmind/rgb_stacking 12 Oct 2021

We study the problem of robotic stacking with objects of complex geometry.

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations

simon-tan/ikt 15 Dec 2021

IKT's prediction of future student performance is made using a Tree-Augmented Naive Bayes Classifier (TAN), therefore its predictions are easier to explain than deep learning-based student models.

GPT-based Open-Ended Knowledge Tracing

lucy66666/okt 21 Feb 2022

In education applications, knowledge tracing refers to the problem of estimating students' time-varying concept/skill mastery level from their past responses to questions and predicting their future performance.