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This competition concerns educational diagnostic questions, which are pedagogically effective, multiple-choice questions (MCQs) whose distractors embody misconceptions.
Grade-12 students’ misconceptions relating to fundamental characteristics of atoms and molecules
Alan K. Griffiths and Kirk R. Preston · 1992
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Knowledge tracing: Modeling the acquisition of procedural knowledge
Albert T Corbett and John R Anderson · 1994
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Students’ misconceptions—looking for a pattern
Hans-Jürgen Schmidt · 1997
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Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments
Justin Kruger and David Dunning · 1999
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Diagnostic questions: Is there value in just one?
C. Wylie and D. Wiliam · 2006
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The netflix prize
James Bennett, Stan Lanning, et al · 2007
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Performance factors analysis –a new alternative to knowledge tracing
Philip I. Pavlik, Hao Cen, and Kenneth R. Koedinger · 2009
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A contextual-bandit approach to personalized news article recommendation
Lihong Li, Wei Chu, John Langford, and Robert E Schapire · 2010
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Algebra i 2006-2007
J. Stamper, A. Niculescu-Mizil, S. Ritter, G.J. Gordon, and K.R. Koedinger · 2010
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Bridge to algebra 2006-2007
J. Stamper, A. Niculescu-Mizil, S. Ritter, G.J. Gordon, and K.R. Koedinger · 2010
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Missforest—non-parametric missing value imputation for mixed-type data
Daniel J Stekhoven and Peter Bühlmann · 2012
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Discovering and describing types of mathematical errors
Thomas S. McTavish and J. Larusson · 2014
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The movielens datasets: History and context
F Maxwell Harper and Joseph A Konstan · 2015
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Deep knowledge tracing
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J Guibas, and Jascha Sohl-Dickstein · 2015
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Alekh Agarwal, Sarah Bird, Markus Cozowicz, Luong Hoang, John Langford, Stephen Lee, Jiaji Li, Dan Melamed, Gal Oshri, Oswaldo Ribas, et al · 2016
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Roderick JA Little and Donald B Rubin · 2019
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EDDI: Efficient dynamic discovery of high-value information with partial VAE
C. Ma, S. Tschiatschek, K. Palla, J. M. Hernández-Lobato, S. Nowozin, and C. Zhang · 2019
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Quality assessment of diagnostic questions based on multiple features
Aritra Ghosh and Andrew S. Lan · 2020
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Context-aware attentive knowledge tracing
Aritra Ghosh, Neil Heffernan, and Andrew S Lan · 2020
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Assessing the quality of mathematics questions using student confidence scores
Jessica McBroom and Benjamin Paassen · 2020
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Which to choose? an order-aware cognitive diagnosis model for predicting the multiple-choice answer of students
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Modeling common misconceptions in learning process data
Ran Liu, Rony Patel, and Kenneth R. Koedinger · 2016
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Data-mining textual responses to uncover misconception patterns
Joshua J. Michalenko, Andrew S. Lan, and Richard G. Baraniuk · 2017
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Gain: Missing data imputation using generative adversarial nets
Jinsung Yoon, James Jordon, and Mihaela Van Der Schaar · 2018
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Icebreaker: Element-wise active information acquisition with bayesian deep latent gaussian model
W. Gong, S. Tschiatschek, R. Turner, S. Nowozin, J. M. Hernández-Lobato, and C. Zhang · 2019
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Shuanghong Shen, Qi Liu, Enhong Chen, Shiwei Tong, Zhengya Huang, Wei Tong, Yu Su, and Shijin Wang · 2020
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Quality assessment of diagnostic questions based on multiple features
Yuto Shinahara and Daichi Takehara · 2020
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Practical strategies for improving the performance of student response prediction
Daichi Takehara and Yuto Shinahara · 2020
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Solution for neurips education challenge 2020 from tal ml team
Machine Learning Group TAL · 2020
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Large-scale educational question analysis with partial variational auto-encoders
Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, and Cheng Zhang · 2020
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