research
∙
06/12/2023
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
This paper describes the results of the first shared task on the generat...
share
research
∙
02/15/2023
Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars
Decision Trees are some of the most popular machine learning models toda...
research
∙
12/14/2022
Faster Maximum Inner Product Search in High Dimensions
Maximum Inner Product Search (MIPS) is a popular problem in the machine ...
research
∙
12/14/2022
MABSplit: Faster Forest Training Using Multi-Armed Bandits
Random forests are some of the most widely used machine learning models ...
research
∙
11/16/2022
Giving Feedback on Interactive Student Programs with Meta-Exploration
Developing interactive software, such as websites or games, is a particu...
research
∙
05/16/2022
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
How can we test whether state-of-the-art generative models, such as Blen...
research
∙
10/27/2021
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
Contemporary coding education often presents students with the task of d...
research
∙
08/26/2021
Modeling Item Response Theory with Stochastic Variational Inference
Item Response Theory (IRT) is a ubiquitous model for understanding human...
research
∙
07/23/2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
High-quality computer science education is limited by the difficulty of ...
research
∙
04/27/2021
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users
For many of the 700 million illiterate people around the world, speech r...
research
∙
06/11/2020
Bandit-PAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits
Clustering is a ubiquitous task in data science. Compared to the commonl...
research
∙
02/01/2020
Variational Item Response Theory: Fast, Accurate, and Expressive
Item Response Theory is a ubiquitous algorithm used around the world to ...
research
∙
09/10/2019
Human Languages in Source Code: Auto-Translation for Localized Instruction
Computer science education has promised open access around the world, bu...
research
∙
06/05/2019
The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing
Chart-based visual acuity measurements are used by billions of people to...
research
∙
05/31/2019
Using Latent Variable Models to Observe Academic Pathways
Understanding large-scale patterns in student course enrollment is a pro...
research
∙
05/23/2019
Generative Grading: Neural Approximate Parsing for Automated Student Feedback
Open access to high-quality education is limited by the difficulty of pr...
research
∙
09/05/2018
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
In modern computer science education, massive open online courses (MOOCs...
research
∙
06/30/2018
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction
Recidivism prediction scores are used across the USA to determine senten...
research
∙
06/19/2015
Deep Knowledge Tracing
Knowledge tracing---where a machine models the knowledge of a student as...
research
∙
05/22/2015
Learning Program Embeddings to Propagate Feedback on Student Code
Providing feedback, both assessing final work and giving hints to stuck ...
research
∙
07/09/2013