Fetching the paper…
Reading the bibliography…
In this paper, we study knowledge tracing in the domain of programming education and make two important contributions.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019 · 1907
Earlier work this paper cites.
Probabilistic models for some intelligence and attainment tests
Rasch, G. 1993 · 1993
Earlier work this paper cites.
Knowledge tracing: Modeling the acquisition of procedural knowledge
Corbett, A. T.; and Anderson, J. R. 1994 · 1994
Earlier work this paper cites.
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing
Tong, H.; Wang, Z.; Liu, Q.; Zhou, Y.; and Han, W. 2020 · 2006
Earlier work this paper cites.
GIKT: A Graph-based Interaction Model for Knowledge Tracing
Yang, Y.; Shen, J.; Qu, Y.; Liu, Y.; Wang, K.; Zhu, Y.; Zhang, W.; and Yu, Y. 2020 · 2009
Earlier work this paper cites.
Memory: A contribution to experimental psychology
Ebbinghaus, H. 2013 · 2013
Earlier work this paper cites.
Blackbox: a large scale repository of novice programmers’ activity
Brown, N. C. C.; Kölling, M.; McCall, D.; and Utting, I. 2014 · 2014
Earlier work this paper cites.
Convolutional Neural Networks for Sentence Classification
Kim, Y. 2014 · 2014
Earlier work this paper cites.
Zaremba, W.; and Sutskever, I. 2014 · 2014
Earlier work this paper cites.
Code Hunt: Experience with coding contests at scale
Bishop, J.; Horspool, R. N.; Xie, T.; Tillmann, N.; and De Halleux, J. 2015 · 2015
Earlier work this paper cites.
A new way of teaching programming skills to K-12 students: Code. org
Kalelioğlu, F. 2015 · 2015
Earlier work this paper cites.
Deep knowledge tracing
Piech, C.; Bassen, J.; Huang, J.; Ganguli, S.; Sahami, M.; Guibas, L. J.; and Sohl-Dickstein, J. 2015 · 2015
Earlier work this paper cites.
Analyzing student work patterns using programming exercise data
Spacco, J.; Denny, P.; Richards, B.; Babcock, D.; Hovemeyer, D.; Moscola, J.; and Duvall, R. 2015 · 2015
Earlier work this paper cites.
A deep language model for software code
Dam, H. K.; Tran, T.; and Pham, T. 2016 · 2016
Earlier work this paper cites.
node2vec: Scalable feature learning for networks
Grover, A.; and Leskovec, J. 2016 · 2016
Earlier work this paper cites.
Summarizing Source Code using a Neural Attention Model
Iyer, S.; Konstas, I.; Cheung, A.; and Zettlemoyer, L. 2016 · 2016
Cited alongside, same era.
Recurrent Neural Network for Text Classification with Multi-Task Learning
Liu, P.; Qiu, X.; and Huang, X. 2016 · 2016
Cited alongside, same era.
Convolutional neural networks over tree structures for programming language processing
Mou, L.; Li, G.; Zhang, L.; Wang, T.; and Jin, Z. 2016 · 2016
Cited alongside, same era.
Attention-based bidirectional long short-term memory networks for relation classification
Zhou, P.; Shi, W.; Tian, J.; Qi, Z.; Li, B.; Hao, H.; and Xu, B. 2016 · 2016
Cited alongside, same era.
CS for all, equity, and responsibility
Barnes, T. 2017 · 2017
Cited alongside, same era.
Deep knowledge tracing on programming exercises
Wang, L.; Sy, A.; Liu, L.; and Piech, C. 2017 · 2017
Revisiting Pre-Trained Models for Chinese Natural Language Processing
Cui, Y.; Che, W.; Liu, T.; Qin, B.; Wang, S.; and Hu, G. 2020 · 2020
Later among the works it cites.
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Feng, Z.; Guo, D.; Tang, D.; Duan, N.; Feng, X.; Gong, M.; Shou, L.; Qin, B.; Liu, T.; Jiang, D.; and Zhou, M. 2020 · 2020
Later among the works it cites.
Context-aware attentive knowledge tracing
Ghosh, A.; Heffernan, N.; and Lan, A. S. 2020 · 2020
Later among the works it cites.
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Gururangan, S.; Marasovic, A.; Swayamdipta, S.; Lo, K.; Beltagy, I.; Downey, D.; and Smith, N. A. 2020 · 2020
Later among the works it cites.
Improving Knowledge Tracing via Pre-training Question Embeddings
Liu, Y.; Yang, Y.; Chen, X.; Shen, J.; Zhang, H.; and Yu, Y. 2020 · 2020
Later among the works it cites.
Programming Homework Dataset for Plagiarism Detection
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Dynamic key-value memory networks for knowledge tracing
Zhang, J.; Shi, X.; King, I.; and Yeung, D.-Y. 2017 · 2017
Cited alongside, same era.
code2vec: Learning Distributed Representations of Code
Alon, U.; Zilberstein, M.; Levy, O.; and Yahav, E. 2018 · 2018
Cited alongside, same era.
Graph Attention Networks
Velickovic, P.; Cucurull, G.; Casanova, A.; Romero, A.; Liò, P.; and Bengio, Y. 2018 · 2018
Cited alongside, same era.
Addressing two problems in deep knowledge tracing via prediction-consistent regularization
Yeung, C.-K.; and Yeung, D.-Y. 2018 · 2018
Cited alongside, same era.
Semantic sentence matching with densely-connected recurrent and co-attentive information
Kim, S.; Kang, I.; and Kwak, N. 2019 · 2019
Cited alongside, same era.
A Self Attentive model for Knowledge Tracing
Pandey, P.; and Karypis, G. 2019 · 2019
Cited alongside, same era.
Ljubovic, V. 2020 · 2020
Later among the works it cites.
Using learning analytics in the Amazonas: understanding students’ behaviour in introductory programming
Pereira, F. D.; Oliveira, E. H.; Oliveira, D. B.; Cristea, A. I.; Carvalho, L. S.; Fonseca, S. C.; Toda, A.; and Isotani, S. 2020 · 2020
Later among the works it cites.
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process
Shen, S.; Liu, Q.; Chen, E.; Wu, H.; Huang, Z.; Zhao, W.; Su, Y.; Ma, H.; and Wang, S. 2020 · 2020
Later among the works it cites.
IntelliCode compose: code generation using transformer
Svyatkovskiy, A.; Deng, S. K.; Fu, S.; and Sundaresan, N. 2020 · 2020
Later among the works it cites.
Unified Pre-training for Program Understanding and Generation
Ahmad, W. U.; Chakraborty, S.; Ray, B.; and Chang, K. 2021 · 2021
Closest in time.
GraphCodeBERT: Pre-training Code Representations with Data Flow
Guo, D.; Ren, S.; Lu, S.; Feng, Z.; Tang, D.; Liu, S.; Zhou, L.; Duan, N.; Svyatkovskiy, A.; Fu, S.; Tufano, M.; Deng, S. K.; Clement, C. B.; Drain, D.; Sundaresan, N.; Yin, J.; Jiang, D.; and Zhou, M. 2021 · 2021
Closest in time.
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Lu, S.; Guo, D.; Ren, S.; Huang, J.; Svyatkovskiy, A.; Blanco, A.; Clement, C. B.; Drain, D.; Jiang, D.; Tang, D.; Li, G.; Zhou, L.; Shou, L.; Zhou, L.; Tufano, M.; Gong, M.; Zhou, M.; Duan, N.; Sundaresan, N.; Deng, S. K.; Fu, S.; and Liu, S. 2021 · 2021
Closest in time.
CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model
Wang, X.; Wang, Y.; Zhou, P.; Xiao, M.; Wang, Y.; Li, L.; Liu, X.; Wu, H.; Liu, J.; and Jiang, X. 2021 · 2021
Closest in time.
Language-Agnostic Representation Learning of Source Code from Structure and Context
Zügner, D.; Kirschstein, T.; Catasta, M.; Leskovec, J.; and Günnemann, S. 2021 · 2021
Closest in time.