Location-Matching Adaptive Testing for Polytomous Technology-Enhanced Items.

ABSTRACT: The article presents adaptive testing strategies for polytomously scored technology-enhanced innovative items. We investigate item selection methods that match examinee's ability levels in location and explore ways to leverage test-taking speeds during item selection. Existing approaches to selecting polytomous items are mostly based on information measures and tend to experience an item pool usage problem. In this study, we introduce location indices for polytomous items and show that location-matched item selection significantly improves the usage problem and achieves more diverse item sampling. We also contemplate matching items' time intensities so that testing times can be regulated across the examinees. Numerical experiment from Monte Carlo simulation suggests that location-matched i

SUBMITTER: Kang HA 

PROVIDER: S-EPMC10846469 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature