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Towards Interpretable Deep Learning Models for Knowledge Tracing

Towards Interpretable Deep Learning Models for Knowledge Tracing

13 May 2020
Yu Lu
De-Wu Wang
Qinggang Meng
Penghe Chen
ArXivPDFHTML

Papers citing "Towards Interpretable Deep Learning Models for Knowledge Tracing"

5 / 5 papers shown
Title
The future of human-centric eXplainable Artificial Intelligence (XAI) is
  not post-hoc explanations
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
Vinitra Swamy
Jibril Frej
Tanja Kaser
34
14
0
01 Jul 2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models
  with Question-centric Cognitive Representations
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
Jiahao Chen
Zitao Liu
Shuyan Huang
Qiongqiong Liu
Weiqing Luo
AI4Ed
30
41
0
14 Feb 2023
Evaluating the Explainers: Black-Box Explainable Machine Learning for
  Student Success Prediction in MOOCs
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
Vinitra Swamy
Bahar Radmehr
Natasa Krco
Mirko Marras
Tanja Kaser
FAtt
ELM
11
39
0
01 Jul 2022
Interpreting Deep Knowledge Tracing Model on EdNet Dataset
Interpreting Deep Knowledge Tracing Model on EdNet Dataset
De-Wu Wang
Yu Lu
Qinggang Meng
Penghe Chen
19
0
0
31 Oct 2021
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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