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Download full textGuzman-Orth, Danielle; Song, Yi; Sparks, Jesse R. – ETS Research Report Series, 2019
In this study, we investigated the challenges and opportunities in developing a computer-delivered English language arts (ELA) task intended to improve the accessibility of the task for middle school English learners (ELs). Data from cognitive labs with 8 ELs with varying language proficiency levels provided rich insight to student-- task…
Descriptors: Formative Evaluation, Test Construction, Test Items, Persuasive Discourse
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
Attali, Yigal; Burstein, Jill – ETS Research Report Series, 2005
The e-rater® system has been used by ETS for automated essay scoring since 1999. This paper describes a new version of e-rater (v.2.0) that differs from the previous one (v.1.3) with regard to the feature set and model building approach. The paper describes the new version, compares the new and previous versions in terms of performance, and…
Descriptors: Essay Tests, Automation, Scoring, Comparative Analysis
