Papers with item response theory

3 papers
Building an English Vocabulary Knowledge Dataset of Japanese English-as-a-Second-Language Learners Using Crowdsourcing (L18-1)

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Challenge: a dataset for analyzing the English vocabulary of English-as-a-second language learners is available . a vocabulary size test was performed by 100 test takers hired via crowdsourcing .
Approach: They propose a dataset for analyzing the English vocabulary of English-as-a-second language learners.
Outcome: a dataset for analyzing the English vocabulary of English-as-a-second language learners is available online . the results show that the test is reliable and can be predicted with high accuracy .
Investigating the Zone of Proximal Development of Language Models for In-Context Learning (2025.findings-naacl)

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Challenge: In-context learning is a dynamic and progressive process where learners integrate new information into their knowledge base through interactions with the environment.
Approach: They propose a learning analytics framework to analyze the in-context learning behavior of large language models (LLMs) through the lens of the Zone of Proximal Development (ZPD), an established theory in educational psychology.
Outcome: The proposed framework improves inference and fine-tuning scenarios by selectively applying it to queries that are most likely to benefit from demonstrations.
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction (2025.emnlp-main)

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Challenge: Traditionally, estimating item difficulties requires real students to respond to items . a cold-start approach cannot be applied to previously unseen items either .
Approach: They propose a method for aligning simulated students with instructed ability to predict difficulty of open-ended items.
Outcome: The proposed method outperforms existing methods on two real-world student responses.

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