Learning Program Embeddings to Propagate Feedback on Student Code

22 May 2015

Papers citing "Learning Program Embeddings to Propagate Feedback on Student Code"

48 / 48 papers shown

Title
Learning Code-Edit Embedding to Model Student Debugging Behavior Hasnain Heickal Andrew Lan 109 0 0 26 Feb 2025
Explainable Few-shot Knowledge Tracing Haoxuan Li Jifan Yu Y. Ouyang Zhuang Liu Wenge Rong Juan-Zi Li Zhang Xiong 67 3 0 23 May 2024
Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models Hasnain Heickal Andrew Lan LRM 63 4 0 01 May 2024
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models Hengyuan Zhang Zitao Liu Chenming Shang Dawei Li Yong Jiang AI4Ed 135 8 0 12 Mar 2024
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming Zhengdong Zhang Zihan Dong Yang Shi Noboru Matsuda Thomas W. Price Dongkuan Xu 53 16 0 17 Dec 2023
Learning Generalizable Program and Architecture Representations for Performance Modeling Lingda Li T. Flynn A. Hoisie 57 2 0 25 Oct 2023
Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A Review Sruti Mallik Ahana Gangopadhyay 56 44 0 23 Jan 2023
Giving Feedback on Interactive Student Programs with Meta-Exploration Emmy Liu Moritz Stephan Allen Nie Chris Piech Emma Brunskill Chelsea Finn AI4Ed 104 7 0 16 Nov 2022
From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks Adish Singla Nikitas Theodoropoulos 58 13 0 03 May 2022
Play to Grade: Testing Coding Games as Classifying Markov Decision Process Allen Nie Emma Brunskill Chris Piech 58 11 0 27 Oct 2021
Multi-Factors Aware Dual-Attentional Knowledge Tracing Moyu Zhang Xinning Zhu Chunhong Zhang Yang Ji Feng Pan Changchuan Yin AI4Ed 70 48 0 10 Aug 2021
Automatic Assessment of the Design Quality of Python Programs with Personalized Feedback J. Orr Nathaniel Russell 13 16 0 02 Jun 2021
Math Operation Embeddings for Open-ended Solution Analysis and Feedback Mengxue Zhang Zichao Wang Richard Baraniuk Andrew Lan 57 10 0 25 Apr 2021
SnapCheck: Automated Testing for Snap Programs Wengran Wang Chenhao Zhang Andreas Stahlbauer G. Fraser T. Price 16 9 0 23 Apr 2021
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search Chen Zeng Yue Yu Shanshan Li Xin Xia Zhiming Wang Mingyang Geng Linxiao Bai Wei Dong Xiangke Liao GNN 69 38 0 24 Mar 2021
ast2vec: Utilizing Recursive Neural Encodings of Python Programs Benjamin Paassen Jessica McBroom Bryn Jeffries I. Koprinska K. Yacef 114 9 0 22 Mar 2021
Neural Software Analysis Michael Pradel S. Chandra NAI 92 34 0 16 Nov 2020
Representation Learning from Limited Educational Data with Crowdsourced Labels Wentao Wang Guowei Xu Wenbiao Ding Gale Yan Huang Guoliang Li Jiliang Tang Zitao Liu SSL 118 12 0 23 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 86 116 0 14 Sep 2020
Context-Aware Attentive Knowledge Tracing Aritra Ghosh Neil T. Heffernan Andrew Lan AI4Ed HAI 134 395 0 24 Jul 2020
Neural Program Synthesis with a Differentiable Fixer Matej Balog Rishabh Singh Petros Maniatis Charles Sutton 47 5 0 19 Jun 2020
Synthesizing Tasks for Block-based Programming Umair Z. Ahmed M. Christakis A. Efremov Nigel Fernandez Ahana Ghosh Abhik Roychoudhury Adish Singla 59 22 0 17 Jun 2020
Teaching Temporal Logics to Neural Networks Christopher Hahn Frederik Schmitt Jens U. Kreber M. Rabe Bernd Finkbeiner NAI 109 67 0 06 Mar 2020
Systematic Review of Approaches to Improve Peer Assessment at Scale Manikandan Ravikiran 8 2 0 27 Jan 2020
A Survey of Automated Programming Hint Generation -- The HINTS Framework Jessica McBroom I. Koprinska K. Yacef 48 33 0 30 Aug 2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks Dongdong She Yizheng Chen Abhishek Shah Baishakhi Ray Suman Jana 67 46 0 08 Jul 2019
A Neural-based Program Decompiler Cheng Fu Huili Chen Haolan Liu Xinyun Chen Yuandong Tian F. Koushanfar Jishen Zhao 21 3 0 28 Jun 2019
Deep Learning for Bug-Localization in Student Programs Rahul Gupta Aditya Kanade S. Shevade 26 4 0 28 May 2019
Enabling Open-World Specification Mining via Unsupervised Learning Jordan Henkel Shuvendu K. Lahiri B. Liblit Thomas W. Reps 20 1 0 27 Apr 2019
Neural Program Repair by Jointly Learning to Localize and Repair Marko Vasic Aditya Kanade Petros Maniatis David Bieber Rishabh Singh 64 132 0 03 Apr 2019
Neural-Network Guided Expression Transformation Romain Edelmann Viktor Kunčak 38 1 0 06 Feb 2019
Improving Automatic Source Code Summarization via Deep Reinforcement Learning Yao Wan Zhou Zhao Min Yang Guandong Xu Haochao Ying Jian Wu Philip S. Yu 78 392 0 17 Nov 2018
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference Mike Wu Milan Mossé Noah D. Goodman Chris Piech AI4Ed UQCV HAI 83 59 0 05 Sep 2018
code2seq: Generating Sequences from Structured Representations of Code Uri Alon Shaked Brody Omer Levy Eran Yahav 127 700 0 04 Aug 2018
Amanuensis: The Programmer's Apprentice Thomas Dean Maurice Chiang Marcus Gomez Nate Gruver Yousef Hindy ... S. Sanchez Rohun Saxena Michael Smith Lucy Wang Catherine Wong 33 3 0 29 Jun 2018
TipsC: Tips and Corrections for programming MOOCs Saksham Sharma P. Agarwal Parv Mor Amey Karkare 31 9 0 02 Apr 2018
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs Forough Arabshahi Sameer Singh Anima Anandkumar NAI 21 5 0 12 Jan 2018
Dynamic Neural Program Embedding for Program Repair Ke Wang Rishabh Singh Z. Su NAI 64 137 0 20 Nov 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 121 863 0 18 Sep 2017
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces Benjamin Paassen Barbara Hammer T. Price Tiffany Barnes S. Gross Niels Pinkwart 42 53 0 22 Aug 2017
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 111 576 0 07 Nov 2016
Neuro-Symbolic Program Synthesis Emilio Parisotto Abdel-rahman Mohamed Rishabh Singh Lihong Li Dengyong Zhou Pushmeet Kohli NAI 124 322 0 06 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions Miltiadis Allamanis Pankajan Chanthirasegaran Pushmeet Kohli Charles Sutton CLL NAI 104 99 0 04 Nov 2016
Automated Correction for Syntax Errors in Programming Assignments using Recurrent Neural Networks Sahil Bhatia Rishabh Singh 71 118 0 19 Mar 2016
Latent Skill Embedding for Personalized Lesson Sequence Recommendation S. Reddy I. Labutov Thorsten Joachims AI4Ed 110 19 0 23 Feb 2016
A Convolutional Attention Network for Extreme Summarization of Source Code Miltiadis Allamanis Hao Peng Charles Sutton AI4TS 93 585 0 09 Feb 2016
Deep Knowledge Tracing Chris Piech J. Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas Guibas Jascha Narain Sohl-Dickstein AI4Ed HAI 114 1,171 0 19 Jun 2015
Convolutional Neural Networks over Tree Structures for Programming Language Processing Lili Mou Ge Li Lu Zhang Tao Wang Zhi Jin 72 93 0 18 Sep 2014