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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.
Recommendations for datasets for source code summarization
Alexander LeClair and Collin McMillan. 2019 · 1904
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Analysing mathematical reasoning abilities of neural models
David Saxton, Edward Grefenstette, Felix Hill, and Pushmeet Kohli. 2019 · 1904
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Diagnostic models for procedural bugs in basic mathematical skills
John Seely Brown and Richard R Burton. 1978 · 1978
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Bugs are not enough: Empirical studies of bugs, impasses and repairs in procedural skills
Kurt VanLehn. 1982 · 1982
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Novice lisp errors: Undetected losses of information from working memory
John R Anderson and Robin Jeffries. 1985 · 1985
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Knowledge tracing: Modeling the acquisition of procedural knowledge
Albert Corbett and John Anderson. 1994 · 1994
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Misconceptions reconceived: A constructivist analysis of knowledge in transition
John P Smith III, Andrea A DiSessa, and Jeremy Roschelle. 1994 · 1994
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Language models are few-shot learners
Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2005
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Learning factors analysis–A general method for cognitive model evaluation and improvement
Hao Cen, Kenneth Koedinger, and Brian Junker. 2006 · 2006
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Cognitive tutor: Applied research in mathematics education
Steven Ritter, John R Anderson, Kenneth R Koedinger, and Albert Corbett. 2007 · 2007
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Rkt: Relation-aware self-attention for knowledge tracing
Shalini Pandey and Jaideep Srivastava. 2020 · 2008
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
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Performance factors analysis–A new alternative to knowledge tracing
Philip Pavlik Jr, Hao Cen, and Kenneth Koedinger. 2009 · 2009
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CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, and Shuai Ma. 2020 · 2009
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Modeling individualization in a Bayesian networks implementation of knowledge tracing
Zach A Pardos and Neil T Heffernan. 2010 · 2010
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeff Dean. 2013 · 2013
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Handbook of Modern Item Response Theory
W. J. van der Linden and R. K. Hambleton. 2013 · 2013
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Extending knowledge tracing to allow partial credit: Using continuous versus binary nodes
Yutao Wang and Neil Heffernan. 2013 · 2013
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Individualized bayesian knowledge tracing models
Michael V Yudelson, Kenneth R Koedinger, and Geoffrey J Gordon. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Integrating knowledge tracing and item response theory: A tale of two frameworks
MM Khajah, Y Huang, JP González-Brenes, MC Mozer, and P Brusilovsky. 2014 · 2014
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Program synthesis using natural language
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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A novel neural source code representation based on abstract syntax tree
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Kaixuan Wang, and Xudong Liu. 2019 · 2019
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Ednet: A large-scale hierarchical dataset in education
Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee, Jineon Baek, Chan Bae, Byungsoo Kim, and Jaewe Heo. 2020 · 2020
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Context-aware attentive knowledge tracing
Aritra Ghosh, Neil Heffernan, and Andrew S Lan. 2020 · 2020
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Gikt: A graph-based interaction model for knowledge tracing
Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, and Yong Yu. 2020 · 2020
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Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, and Subhajit Roy. 2016 · 2016
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
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Data-driven hint generation in vast solution spaces: a self-improving python programming tutor
Kelly Rivers and Kenneth R Koedinger. 2017 · 2017
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Learning to represent student knowledge on programming exercises using deep learning
Lisa Wang, Angela Sy, Larry Liu, and Chris Piech. 2017 · 2017
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Dynamic key-value memory networks for knowledge tracing
Jiani Zhang, Xingjian Shi, Irwin King, and Dit-Yan Yeung. 2017 · 2017
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Automatic diagnosis of students’ misconceptions in K-8 mathematics
Molly Q Feldman, Ji Yong Cho, Monica Ong, Sumit Gulwani, Zoran Popović, and Erik Andersen. 2018 · 2018
Cited alongside, same era.
Mapping language to code in programmatic context
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021
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Training verifiers to solve math word problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman. 2021 · 2021
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Option tracing: Beyond correctness analysis in knowledge tracing
Aritra Ghosh, Jay Raspat, and Andrew Lan. 2021 · 2021
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Codexglue: A machine learning benchmark dataset for code understanding and generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, et al. 2021 · 2021
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Knowing" when" and" where": Temporal-astnn for student learning progression in novice programming tasks
Ye Mao, Yang Shi, Samiha Marwan, Thomas W Price, Tiffany Barnes, and Min Chi. 2021 · 2021
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Saint+: Integrating temporal features for ednet correctness prediction
Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, and Youngduck Choi. 2021 · 2021
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Towards learning outcome prediction via modeling question explanations and student responses
Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, and Jing Gao. 2021 · 2021
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Programming knowledge tracing: A comprehensive dataset and a new model
Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, and Aoying Zhou. 2021 · 2021
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No task left behind: Multi-task learning of knowledge tracing and option tracing for better student assessment
Suyeong An, Junghoon Kim, Minsam Kim, and Juneyoung Park. 2022 · 2022
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Competition-level code generation with alphacode
Yujia Li, David Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, et al. 2022 · 2022
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From { \{ Solution Synthesis } \} to { \{ Student Attempt Synthesis } \} for block-based visual programming tasks
Adish Singla and Nikitas Theodoropoulos. 2022 · 2022
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