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Found 5 papers, 3 papers with code
Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions?
We fine-tune both open-source and proprietary LLMs on real student responses and corresponding ITS-provided feedback.
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they are easy to administer, grade, and are a reliable format in assessments and practices.
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 education since they are easy to administer, grade, and are a reliable form of assessment.
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 causal discovery in knowledge tracing, i. e., finding the underlying causal relationship among different skills from real-world student response data.
Algebra Error Classification with Large Language Models
Existing data-driven methods avoid these limitations but specifically require mathematical expressions in student responses to be parsed into syntax trees.
