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Reliable Deep Grade Prediction with Uncertainty Estimation

Reliable Deep Grade Prediction with Uncertainty Estimation

International Conference on Learning Analytics and Knowledge (LAK), 2019
26 February 2019
Qian Hu
Huzefa Rangwala
ArXiv (abs)PDFHTML

Papers citing "Reliable Deep Grade Prediction with Uncertainty Estimation"

7 / 7 papers shown
Play to Grade: Testing Coding Games as Classifying Markov Decision
  Process
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
Allen Nie
Emma Brunskill
Chris Piech
263
11
0
27 Oct 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
Mike Wu
Noah D. Goodman
Chris Piech
Chelsea Finn
324
27
0
23 Jul 2021
Early Performance Prediction using Interpretable Patterns in Programming
  Process Data
Early Performance Prediction using Interpretable Patterns in Programming Process DataTechnical Symposium on Computer Science Education (SIGCSE), 2021
Ge Gao
Samiha Marwan
T. Price
132
32
0
10 Feb 2021
SPOC learner's final grade prediction based on a novel sampling batch
  normalization embedded neural network method
SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network methodMultimedia tools and applications (MTA), 2020
Zhuonan Liang
Ziheng Liu
Huaze Shi
Yunlong Chen
Yanbin Cai
Yating Liang
Yafan Feng
Yuqing Yang
Jing Zhang
Yu Yao
119
2
0
15 Dec 2020
Prescribing Deep Attentive Score Prediction Attracts Improved Student
  Engagement
Prescribing Deep Attentive Score Prediction Attracts Improved Student EngagementEducational Data Mining (EDM), 2020
Youngnam Lee
Byungsoo Kim
Dongmin Shin
JungHoon Kim
Jineon Baek
Jinhwan Lee
Youngduck Choi
321
4
0
27 Apr 2020
Academic Performance Estimation with Attention-based Graph Convolutional
  Networks
Academic Performance Estimation with Attention-based Graph Convolutional NetworksEducational Data Mining (EDM), 2019
Qian Hu
Huzefa Rangwala
GNN
138
37
0
26 Dec 2019
Generative Grading: Near Human-level Accuracy for Automated Feedback on
  Richly Structured Problems
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems
Ali Malik
Mike Wu
Vrinda Vasavada
Jinpeng Song
Madison Coots
John C. Mitchell
Noah D. Goodman
Chris Piech
AI4Ed
316
9
0
23 May 2019
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