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Found 6 papers, 3 papers with code
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions
In this paper, we investigate a collection of models that account for the individual preferences and tendencies of each human scorer in the automated scoring task.
Automatic Short Math Answer Grading via In-context Meta-learning
In this paper, we study the problem of automatic short answer grading for students' responses to math questions and propose a novel framework for this task.
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education
Due to the nature of mathematical texts, which often use domain specific vocabulary along with equations and math symbols, we posit that the development of a new BERT model for mathematics would be useful for many mathematical downstream tasks.
Classifying Math KCs via Task-Adaptive Pre-Trained BERT
Educational content labeled with proper knowledge components (KCs) are particularly useful to teachers or content organizers.
Achieving User-Side Fairness in Contextual Bandits
Personalized recommendation based on multi-arm bandit (MAB) algorithms has shown to lead to high utility and efficiency as it can dynamically adapt the recommendation strategy based on feedback.
Context-Aware Attentive Knowledge Tracing
We also conduct several case studies and show that AKT exhibits excellent interpretability and thus has potential for automated feedback and personalization in real-world educational settings.
