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Download full textLopez, Alexis A.; Tolentino, Florencia – ETS Research Report Series, 2020
In this study we investigated how English learners (ELs) interacted with "®" summative English language arts (ELA) and mathematics items, the embedded online tools, and accessibility features. We focused on how EL students navigated the assessment items; how they selected or constructed their responses; how they interacted with the…
Descriptors: English Language Learners, Student Evaluation, Language Arts, Summative Evaluation
Sheehan, Kathleen M. – ETS Research Report Series, 2016
The "TextEvaluator"® text analysis tool is a fully automated text complexity evaluation tool designed to help teachers and other educators select texts that are consistent with the text complexity guidelines specified in the Common Core State Standards (CCSS). This paper provides an overview of the TextEvaluator measurement approach and…
Descriptors: Automation, Evaluation Methods, Reading Material Selection, Common Core State Standards
Deane, Paul; Lawless, René R.; Li, Chen; Sabatini, John; Bejar, Isaac I.; O'Reilly, Tenaha – ETS Research Report Series, 2014
We expect that word knowledge accumulates gradually. This article draws on earlier approaches to assessing depth, but focuses on one dimension: richness of semantic knowledge. We present results from a study in which three distinct item types were developed at three levels of depth: knowledge of common usage patterns, knowledge of broad topical…
Descriptors: Vocabulary, Test Items, Language Tests, Semantics
