Chris Piech

According to our database1, Chris Piech authored at least 20 papers between 2012 and 2018.

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Timeline

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Bibliography

2018
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference.
CoRR, 2018

Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction.
CoRR, 2018

TMOSS: Using Intermediate Assignment Work to Understand Excessive Collaboration in Large Classes.
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

BlueBook: A Computerized Replacement for Paper Tests in Computer Science.
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

2017
Sharing and Using Programming Log Data (Abstract Only).
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Deep Knowledge Tracing On Programming Exercises.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016
As CS Enrollments Grow, Are We Attracting Weaker Students?
Proceedings of the 47th ACM Technical Symposium on Computing Science Education, Memphis, TN, USA, March 02, 2016

2015
Deep Knowledge Tracing.
CoRR, 2015

Learning Program Embeddings to Propagate Feedback on Student Code.
CoRR, 2015

Deep Knowledge Tracing.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Autonomously Generating Hints by Inferring Problem Solving Policies.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Learning Program Embeddings to Propagate Feedback on Student Code.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Who Are You? We Really Wanna Know... Especially If You Think You're Like a Computer Scientist.
Proceedings of the Third Conference on GenderIT, 2015

2014
Codewebs: scalable homework search for massive open online programming courses.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
Tuned Models of Peer Assessment in MOOCs.
CoRR, 2013

Deconstructing disengagement: analyzing learner subpopulations in massive open online courses.
Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

Tuned Models of Peer Assessment in MOOCs.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012
Modeling how students learn to program.
Proceedings of the 43rd ACM technical symposium on Computer science education, 2012


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