Targeted Linguistic Simplification of Science Test Items for English Learners

Autor:	Ann S. Rosebery, Yang Caroline Wang, Tracy Noble, Rachel Kachchaf, Craig S. Wells, Stephen G. Sireci
Rok vydání:	2020
Předmět:	business.industry Item analysis 05 social sciences 050401 social sciences methods 050301 education computer.software_genre Education Test (assessment) 0504 sociology Artificial intelligence business Psychology 0503 education computer Natural language processing
Zdroj:	American Educational Research Journal. 57:2175-2209
ISSN:	1935-1011 0002-8312
Popis:	In this experimental study, 20 multiple-choice test items from the Massachusetts Grade 5 science test were linguistically simplified, and original and simplified test items were administered to 310 English learners (ELs) and 1,580 non-ELs in four Massachusetts school districts. This study tested the hypothesis that specific linguistic features of test items contributed to construct-irrelevant variance in science test scores of ELs. Simplifications targeted specific linguistic features, to identify those features with the largest impacts on ELs’ test performance. Of all the linguistic simplifications used in this study, adding visual representations to answer choices had the largest positive effect on ELs’ performance. These findings have significant implications for the design of multiple-choice test items that are fair and valid for ELs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c71582403d2b0cf7c9821baef35e869b https://doi.org/10.3102/0002831220905562 Zobrazit plný text záznamu