Deep Knowledge Tracing On Programming Exercises

Author:

Wang Lisa1,Sy Angela1,Liu Larry1,Piech Chris1

Affiliation:

1. Stanford University, Stanford, CA, USA

Publisher

ACM

Reference17 articles.

1. Miltiadis Allamanis Hao Peng and Charles Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. arXiv preprint arXiv:1602.03001 (2016). Miltiadis Allamanis Hao Peng and Charles Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. arXiv preprint arXiv:1602.03001 (2016).

2. Yoshua Bengio Aaron Courville and Pascal Vincent. 2013. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence 35 8 (2013) 1798--1828. 10.1109/TPAMI.2013.50 Yoshua Bengio Aaron Courville and Pascal Vincent. 2013. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence 35 8 (2013) 1798--1828. 10.1109/TPAMI.2013.50

3. Albert T Corbett and John R Anderson. 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4 4 (1994) 253--278. Albert T Corbett and John R Anderson. 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4 4 (1994) 253--278.

4. Geoffrey E Hinton and Ruslan R Salakhutdinov. 2006. Reducing the dimensionality of data with neural networks. Science 313 5786 (2006) 504--507. 10.1126/science.1127647 Geoffrey E Hinton and Ruslan R Salakhutdinov. 2006. Reducing the dimensionality of data with neural networks. Science 313 5786 (2006) 504--507. 10.1126/science.1127647

5. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural computation 9 8 (1997) 1735--1780. 10.1162/neco.1997.9.8.1735 Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural computation 9 8 (1997) 1735--1780. 10.1162/neco.1997.9.8.1735

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