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08/07/2023
Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of ...
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06/15/2023
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank
Reading comprehension is a crucial skill in many aspects of education, i...
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06/01/2023
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions
Automated scoring of student responses to open-ended questions, includin...
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06/01/2023
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning
Solutions to math word problems (MWPs) with step-by-step explanations ar...
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05/23/2023
RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
Many recent developments in large language models focus on prompting the...
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05/11/2023
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing
In this paper, we take a preliminary step towards solving the problem of...
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05/08/2023
Algebra Error Classification with Large Language Models
Automated feedback as students answer open-ended math questions has sign...
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02/15/2023
Tree-Based Representation and Generation of Natural and Mathematical Language
Mathematical language in scientific communications and educational scena...
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12/05/2022
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
Traditional learning-based approaches to student modeling (e.g., predict...
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08/02/2022
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning
Traditional learning-based approaches to student modeling generalize poo...
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05/30/2022
Automatic Short Math Answer Grading via In-context Meta-learning
Automatic short answer grading is an important research direction in the...
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05/19/2022
Automated Scoring for Reading Comprehension via In-context BERT Tuning
Automated scoring of open-ended student responses has the potential to s...
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04/28/2022
Process-BERT: A Framework for Representation Learning on Educational Process Data
Educational process data, i.e., logs of detailed student activities in c...
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02/21/2022
Open-Ended Knowledge Tracing
Knowledge tracing refers to the problem of estimating each student's kno...
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12/08/2021
DiPS: Differentiable Policy for Sketching in Recommender Systems
In sequential recommender system applications, it is important to develo...
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08/17/2021
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
Computerized adaptive testing (CAT) refers to a form of tests that are p...
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04/25/2021
Math Operation Embeddings for Open-ended Solution Analysis and Feedback
Feedback on student answers and even during intermediate steps in their ...
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04/19/2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise?
Learning with labels noise has gained significant traction recently due ...
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04/19/2021
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing
Knowledge tracing refers to a family of methods that estimate each stude...
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04/19/2021
Contrastive Learning Improves Model Robustness Under Label Noise
Deep neural network-based classifiers trained with the categorical cross...
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01/19/2021
Personalized Education in the AI Era: What to Expect Next?
The objective of personalized learning is to design an effective knowled...
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01/10/2021
Learning Student Interest Trajectory for MOOCThread Recommendation
In recent years, Massive Open Online Courses (MOOCs) have witnessed imme...
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05/27/2020