Chris Piech

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

MABSplit: Faster Forest Training Using Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Giving Feedback on Interactive Student Programs with Meta-Exploration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Using NLP to Quantify Program Decomposition in CS1.

[BibT_eX]

[DOI]

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Function Names: Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them.

[BibT_eX]

[DOI]

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues.

[BibT_eX]

[DOI]

Anaïs Tack

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

Modeling Item Response Theory with Stochastic Variational Inference.

[BibT_eX]

[DOI]

CoRR, 2021

ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback.

[BibT_eX]

[DOI]

CoRR, 2021

Code in Place: Online Section Leading for Scalable Human-Centered Learning.

[BibT_eX]

[DOI]

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

PearProgram: A More Fruitful Approach to Pair Programming.

[BibT_eX]

[DOI]

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Play to Grade: Testing Coding Games as Classifying Markov Decision Process.

[BibT_eX]

[DOI]

Allen Nie

Emma Brunskill

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Assessing Function Names and Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them.

[BibT_eX]

[DOI]

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Simplifying Automated Assessment in CS1.

[BibT_eX]

[DOI]

Proceedings of the ICETM 2021: 4th International Conference on Education Technology Management, Tokyo, Japan, December 17, 2021

Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems.

[BibT_eX]

Proceedings of the 14th International Conference on Educational Data Mining, 2021

SimGrade: Using Code Similarity Measures for More Accurate Human Grading.

[BibT_eX]

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users.

[BibT_eX]

[DOI]

Moussa Doumbouya

Lisa Einstein

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bandit-PAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits.

[BibT_eX]

[DOI]

CoRR, 2020

BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Co-Teaching Computer Science Across Borders: Human-Centric Learning at Scale.

[BibT_eX]

[DOI]

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Human Languages in Source Code: Auto-Translation for Localized Instruction.

[BibT_eX]

[DOI]

Sami Abu-El-Haija

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Using Google Search Trends to Estimate Global Patterns in Learning.

[BibT_eX]

[DOI]

Serhat Arslan

Mo Tiwari

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Variational Item Response Theory: Fast, Accurate, and Expressive.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Measuring Ability-to-Learn Using Parametric Learning Gain Functions.

[BibT_eX]

[DOI]

Engin Bumbacher

Richard Lee Davis

Proceedings of the 13th International Conference on Educational Data Mining, 2020

The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing.

[BibT_eX]

[DOI]

CoRR, 2019

Generative Grading: Neural Approximate Parsing for Automated Student Feedback.

[BibT_eX]

[DOI]

CoRR, 2019

The PyramidSnapshot Challenge: Understanding Student Process from Visual Output of Programs.

[BibT_eX]

[DOI]

Lisa Yan

Nick McKeown

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Pensieve: Feedback on Coding Process for Novices.

[BibT_eX]

[DOI]

Lisa Yan

Annie Hu

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Using Latent Variable Models to Observe Academic Pathways.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Grades are not Normal: Improving Exam Score Models Using the Logit-Normal Distribution.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Educational Data Mining, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

[BibT_eX]

[DOI]

Christina Wadsworth

Francesca Vera

CoRR, 2018

TMOSS: Using Intermediate Assignment Work to Understand Excessive Collaboration in Large Classes.

[BibT_eX]

[DOI]

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

BlueBook: A Computerized Replacement for Paper Tests in Computer Science.

[BibT_eX]

[DOI]

Chris Gregg

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

2017

Sharing and Using Programming Log Data (Abstract Only).

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Deep Knowledge Tracing On Programming Exercises.

[BibT_eX]

[DOI]

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

Uncovering patterns in student work: machine learning to understand human learning.

[BibT_eX]

[DOI]

PhD thesis, 2016

As CS Enrollments Grow, Are We Attracting Weaker Students?

[BibT_eX]

[DOI]

Mehran Sahami

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

2015

Deep Knowledge Tracing.

[BibT_eX]

[DOI]

Jascha Sohl-Dickstein

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.

[BibT_eX]

[DOI]

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Learning Program Embeddings to Propagate Feedback on Student Code.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Rob Semmens

Michèlle Friend

Proceedings of the Third Conference on GenderIT, 2015

2014

Codewebs: scalable homework search for massive open online programming courses.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Deconstructing disengagement: analyzing learner subpopulations in massive open online courses.

[BibT_eX]

[DOI]

René F. Kizilcec