A cross-validation framework was developed and three metrics to measure prediction accuracy were compared. The trained models predicted with 72% accuracy ...
Abstract. Item Response Theory (IRT) models were investigated as a tool for student modeling in an intelligent tutoring system (ITS). The models were.
As IRT models can be used to produce estimates of item difficulty and student ability, they have been used for estimating the probability with which students ...
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Feb 7, 2019 · This study found that the two-parameter IRT model was not able to estimate the ability of students and the difficulty of problems when the ...
Missing: Proficiency | Show results with:Proficiency
We have constructed a system to estimate students' ability basing on Item Response Theory (IRT) and applying K-Means to classify student ranking.
Sep 22, 2020 · By using item response theory, testing programs can provide scores that represent or measure important student characteristics such as reading ...
Missing: Proficiency | Show results with:Proficiency
This study compared the precision of ability estimation on different types of item response theory models for mixed-format data. Participants in this study ...
Missing: Proficiency | Show results with:Proficiency
HO-KT uses IRT to estimate students' initial knowledge of a skill based on its difficulty and discrimination and their overall proficiency, and KT to model ...
• An examine with a high proficiency value will have a high probability of answering the item correctly; a student with a low proficiency value has a low ...
We have constructed a system to estimate students' ability basing on Item Response Theory (IRT) and applying K-Means to classify student ranking. In this paper ...