Chris Piech

TeachNow: Enabling Teachers to Provide Spontaneous, Realtime 1: 1 Help in Massive Online Courses

A. Malik, J. Woodrow, C. Wang, C. Piech

Proceedings of the 2024 on Innovation and Technology in Computer Science Education

The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters' Exam Performances

A. Nie, Y. Chandak, M. Suzara, A. Malik, J. Woodrow, M. Peng, M. Sahami, E. Brunskill, C. Piech

White Paper

Grading and Clustering Student Programs That Produce Probabilistic Output

Y. Kim, J. Geathers, C. Piech

Proceedings of the 17th International Conference on Educational Data Mining. 2024.

Handwritten Code Recognition for Pen-and-Paper CS Education

S. Islam, M. Doumbouya, C. Manning, C. Piech

Proceedings of the Eleventh ACM Conference on Learning@ Scale, 2024

★ Best Undergraduate Paper Award

A large scale RCT on effective error messages in CS1

S. Wang, J. Mitchell, C. Piech

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, Portland, USA. 2024

★ Best Paper Award

From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation

A. Malik, S. Mayhew, C. Piech, K. Bicknell

Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) 2024.

Learners Teaching Novices: An Uplifting Alternative Assessment

A. Malik, J. Woodrow, C. Piech

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, Portland, USA. 2024

A Fast and Accurate Machine Learning Autograder for the Breakout Assignment

E. Liu, D. Yuan, A. Ahmed, E. Cornwall, J. Woodrow, K. Burns, A. Nie, E. Brunskill, C. Piech, C. Finn

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, Portland, USA. 2024

AI Teaches the Art of Elegant Coding: Timely, Fair, and Helpful Style Feedback in a Global Course

J. Woodrow, A. Malik, C. Piech

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, Portland, USA. 2024

PyodideU: Unlocking Python Entirely in a Browser for CS1

T. Jefferson, C. Gregg, C. Piech

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, Portland, USA. 2024

GPTeach: Interactive TA Training with GPT Based Students

J. Markel, S. Opferman, J. Landay, C. Piech

Proceedings of the Tenth ACM Conference on Learning@ Scale. 2023

Can automated feedback improve teachers' uptake of student ideas? evidence from a randomized controlled trial in a large-scale online course

D. Demszky, J. Liu, H. C. Hill, D. Jurafsky, C. Piech

Journal of Educational Evaluation and Policy Analysis. 2023

High-Resolution Course Feedback: Timely Feedback Mechanism for Instructors

Y. Kim, C. Piech

Proceedings of the Tenth ACM Conference on Learning@ Scale. 2023

The Student Zipf Theory: Inferring Latent Structures in Open-Ended Student Work To Help Educators

Y. Kim, C. Piech

Proceedings of the 13th International Learning Analytics and Knowledge Conference. 2023

Variational temporal IRT: Fast, accurate, and explainable inference of dynamic learner proficiency

Y. Kim, S. Sankaranarayanan, C. Piech, C. Thille

Proceedings of the Tenth ACM Conference on Learning@ Scale. 2023

MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks

A. Nie, Y. Zhang, A. Shailesh Amdekar, C. Piech, T. Hashimoto, T. Gerstenberg

NeurIPS, Advances in Neural Information Processing Systems, 2023.

The AI teacher test: Measuring the pedagogical ability of blender and GPT-3 in educational dialogues

A. Tack, C. Piech

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

★ Best Paper Award

MABSplit: Faster Forest Training Using Multi-Armed Bandits

M. Tiwari, R. Kang, J. Lee, S. Thrun, C. Piech, I. Shomorony, M. Zhang

NeurIPS, Advances in Neural Information Processing Systems, 2022.

Banditpam: Almost linear time k-medoids clustering via multi-armed bandits

M. Tiwari, M. J. Zhang, J. Mayclin, S. Thrun, C. Piech, I. Shomorony

NeurIPS, Advances in Neural Information Processing Systems, 2022.

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

C. Charitsis, C. Piech, J. Mitchell

Proceedings of the Ninth ACM Conference on Learning@ Scale. 2022

Using NLP to Quantify Program Decomposition in CS1

C. Charitsis, C. Piech, J. Mitchell

Proceedings of the Ninth ACM Conference on Learning@ Scale. 2022

Foundation Models for Education

A. Malik, D. Demszky, P. Koh, M. Doumbouya, D. Hudson, A. Nie, H. Nilforoshan, A. Tamkin, E. Brunskill, N. Goodman, C. Piech

Center for Research on Foundation Models (CRFM). 2022

Variation in respondent speed and its implications: Evidence from an adaptive testing scenario

B. Domingue, K. Kanopka, B. Stenhaug, J. Soland, M. Kuhfeld, S. Wise, C. Piech

Journal of Educational Measurement 58, no. 3: 335-363. 2021.

Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings

B. Domingue, K. Kanopka, B. Stenhaug, M. Sulik, T. Beverly, M. Brinkhuis, R. Circi, J. Faul, D. Liao, B. McCandliss, J. Obradović, C. Piech, T. Porter, J. Soland, J. Weeks, S. Wise, J. Yeatman

Journal of Educational and Behavioral Statistics 47.5: 576-602. 2022.

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

A. Malik, M. Wu, V. Vasavada, J. Song, M. Coots, J. Mitchell, N. Goodman, C. Piech

Proceedings of the 14th International Conference on Educational Data Mining (EDM), Paris, France. 2021

Giving Feedback on Interactive Student Programs with Meta-Exploration

E. Liu, M. Stephan, A. Nie, C. Piech, E. Brunskill, C. Finn

NeurIPS, Advances in Neural Information Processing Systems, 2022.

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

A. Nie, E. Brunskill, C. Piech

NeurIPS, Advances in Neural Information Processing Systems, Dec 2021

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

M. Doumbouya, L. Einstein, C. Piech

Proceedings of the AAAI Conference on Artificial Intelligence, Apr 2021

Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning

M. Tiwari, C. Piech, M. Baitemirova, N. Prajna, M. Srinivasan, P. Lalitha, N. Villegas, N. Balachandar, J. Chua, T. Redd, T. M. Lietman, S. Thrun, C. Lin

Othalmology, the journal of the American Academy of Ophthalmology, August 2021

PearProgram: A more fruitful approach to pair programming

M. Bigman, E. Roy, J. Garcia, M. Suzara, K. Wang, C. Piech

SIGCSE, ACM Technical Symposium on Computer Science Education, 2021

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

C. Piech, A. Malik, K. Jue, M. Sahami

SIGCSE, ACM Technical Symposium on Computer Science Education, 2021

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

C. Piech, L. Yan, L. Einstein, A. Saavedra, B. Bozkurt, E. Sestakova, O. Guth, N. McKeown

7th conference on Learning@Scale, 2020

★ Best Paper Award

Variational Item Response Theory: Fast, Accurate, and Expressive

M. Wu, R. Davis, B. Domingue, C. Piech, N. Goodman

12th Conference on Educational Data Mining. 2020

★ Best Paper Award

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

C. Piech, A. Malik, L. Mapstone, R. Chang, C. Lin

Proceedings of the 34th AAAI conference on Artificial Intelligence, New York, USA. 2020

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

C. Piech, S. Haija

7th conference on Learning@Scale, 2020

Using Google Search Trends to Estimate Global Patterns in Learning

S. Arslan, M. Tiwari, C. Piech

7th conference on Learning@Scale, 2020

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

C. Piech, E. Bumbacher, R. Davis

12th Conference on Educational Data Mining. 2020

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

M. Wu, M. Mosse, N. Goodman, C. Piech

Proceedings of the 33rd AAAI conference on Artificial Intelligence, Honolulu, USA. 2019

★ Best Student Paper Award

A Vision of AI for Joyful Education

C. Piech, L. Einstein

Scientific American Opinions. 2019

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

N. Arthurs, B. Stenhaug, S. Karayev, C. Piech

Proceedings of Educational Data Mining, Montréal, Canada. 2019

Pensieve: Feedback on coding process for novices

L. Yan, A. Hu, C. Piech

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

The PyramidSnapshot Challenge: Understanding student process from visual output of programs

L. Yan, N. McKeown, C. Piech

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

Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction

C. Wadsworth, F. Vera, C. Piech

5th Conference on Fairness, Accountability and Transparency in ML, Stockholm, Sweden. 2018

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

L. Yan, N. McKeown, M. Sahami, C. Piech

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

BlueBook: A Computerized Replacement for Paper Tests in Computer Science

C. Piech, C. Gregg

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

Deep Knowledge Tracing on Programming Excercises

L. Wang, A. Sy, L. Liu, C. Piech

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

Deep Knowledge Tracing

C. Piech, J. Bassen, J. Huang, S. Ganguli, M. Sahami, L. Guibas, J. Sohl-Dickstein

NeurIPS, Advances in Neural Information Processing Systems, 2015

Learning Program Embeddings to Propagate Feedback on Student Code

C. Piech, J. Huang, A. Nguyen, M. Phulsuksombati, M. Sahami, L. Guibas

Proceedings of the 43rd International Conference on Machine Learning, Lille, France 2015

Inferring Problem Solving Policies

C. Piech, M. Sahami, J. Huang, L. Guibas

Proceedings of the 2nd ACM Conference on Learning at Scale, Vancouver, Canada, 2015

Codewebs: Scalable Homework Search for Massive Open Online Programming Courses

A. Nguyen, C. Piech, J. Huang, L. Guibas

Proceedings of the 23rd international conference on World Wide Web, Seoul, Korea, 2014

Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC

J. Huang, C. Piech, A. Nguyen, L. Guibas

MOOC Shop, 11th International Conference on the Learning Sciences, Boulder, USA. 2014

Tuned Models of Peer Assessment in MOOCs

C. Piech, J. Huang, Z. Chen, C. Do, A. Ng, D. Koller

Proceedings of the 6th International Conference on Educational Data Mining, Memphis, USA. 2013

The Future of Data-Enriched Assessment

C. Thille, E. Schneider, R. Kizilcec, C. Piech, S. Halawa, D. Greene

Research and Practice in Assessment vol 9. 2014

Measuring Stereotype and Identity in Computer Science

R. Semmens, C. Piech, M. Friend

Proceedings of the Third Conference on GenderIT, Philadelphia USA. 2015

Deconstructing Disengagement: Analyzing Learner Subpopulations in Massive Open Online Courses

R. Kizilcec, C. Piech, E. Schneider

Proceedings of the 3rd International Conference on Learning Analytics and Knowledge, Leuven, Belgium. 2013

As CS Enrollments Grow, Are We Attracting Weaker Students? A Statistical Analysis of Student Performance in Introductory Programming Courses Over Time

M. Sahami, C. Piech

Proceedings of the 47th ACM Technical Symposium on Computer Science Education, Memphis, USA. 2016

Modeling How Students Learn To Program

C. Piech, M. Sahami, D. Koller, S. Cooper, P. Blikstein

Proceedings of the 43rd ACM Technical Symposium on Computer Science Education, Raleigh, USA. 2012

Informatics Education Using Nothing but a Browser

C. Piech, E. Roberts

Proceedings of the IFIP Conference on Informatics in a Globalised World of Education, Mombasa, Kenya. 2011