Sotabase

Career

· PhD Student, Stanford University2012–
· Assistant Professor of Computer Science Education, Stanford University2011–
· Associate Professor (Teaching) of Computer Science, Stanford University2011–
· Master's Degree, Stanford University2009–2011
· Bachelor of Science, Stanford University2006–2009

Publications (82)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Deep Knowledge Tracing
Neural Information Processing Systems · 2015
1,410
cited
Deconstructing disengagement: analyzing learner subpopulations in massive open online courses
International Conference on Learning Analytics and Knowledge · 2013
1,137
cited
Tuned Models of Peer Assessment in MOOCs
Educational Data Mining · 2013
415
cited
Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming
The Journal of the Learning Sciences · 2014
256
cited
Modeling how students learn to program
Technical Symposium on Computer Science Education · 2012
230
cited
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction
arXiv.org · 2018
193
cited
Learning Program Embeddings to Propagate Feedback on Student Code
International Conference on Machine Learning · 2015
191
cited
GPTeach: Interactive TA Training with GPT-based Students
ACM Conference on Learning @ Scale · 2023
175
cited
Autonomously Generating Hints by Inferring Problem Solving Policies
ACM Conference on Learning @ Scale · 2015
162
cited
Codewebs: scalable homework search for massive open online programming courses
The Web Conference · 2014
137
cited
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
Educational Data Mining · 2022
122
cited
Can Automated Feedback Improve Teachers’ Uptake of Student Ideas? Evidence From a Randomized Controlled Trial in a Large-Scale Online Course
Educational Evaluation and Policy Analysis · 2023
103
cited
Deep Knowledge Tracing On Programming Exercises
ACM Conference on Learning @ Scale · 2017
100
cited
Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning
Educational Data Mining · 2017
89
cited
Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC
International Conference on Artificial Intelligence in Education · 2013
87
cited
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
AAAI Conference on Artificial Intelligence · 2018
61
cited
Variational Item Response Theory: Fast, Accurate, and Expressive
Educational Data Mining · 2020
57
cited
The Future of Data-Enriched Assessment.
2014
49
cited
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Workshop on Innovative Use of NLP for Building Educational Applications · 2023
40
cited
Sotabase