most citedEstimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

cs.CY2026★ 2 cited

Estimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms

Pooya Razavi, Sonya Powers

Estimating item difficulty through field-testing is often resource-intensive and time-consuming. As such, there is strong motivation to develop methods that can predict item diffic…

cs.AI2025

Scaling Item-to-Standard Alignment with Large Language Models: Accuracy, Limits, and Solutions

Farzan Karimi-Malekabadi, Pooya Razavi, Sonya Powers

As educational systems evolve, ensuring that assessment items remain aligned with content standards is essential for maintaining fairness and instructional relevance. Traditional h…