Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…

In view of the ubiquitous increase in the use of C-tests, which are almost unanimously believed to measure general language proficiency, this study investigates whether the aspects of language proficiency tapped into by the C-test format are the same when the test is taken by a learner population other than that of foreign language learners.…

Increasing linguistic diversity in classrooms has led researchers to examine the validity and fairness of standardized achievement tests, specifically concerning whether test score interpretations are free of bias and score use is fair for all students. This study examined whether mathematics achievement test items that contain complex language…

This study uses the feature sets employed by two automated scoring engines to determine if a "linguistic profile" could be formulated that would help identify items that are likely to exhibit differential item functioning (DIF) based on linguistic features. Sixteen items were administered to 1200 students where demographic information…

Language testing means taking decisions: about the test taker's results, but also about the test construct and the measures taken in order to ensure quality. This article takes the German test "telc Deutsch C1 Hochschule" as an example to illustrate this decision-making process in an academic context. The test is used for university…

The purpose of this study was to determine whether an eighth grade state-level math assessment contained items that function differentially (DIF) for English Learner students (EL) as compared to English Only students (EO) and if so, what factors might have caused DIF. To determine this, Differential Item Functioning (DIF) analysis was employed.…

This paper reports on an investigation of the potential for a shared-L1 advantage on an academic English listening test featuring speakers with L2 accents. Two hundred and twelve second-language listeners (including 70 Mandarin Chinese L1 listeners and 60 Japanese L1 listeners) completed three versions of the University Test of English as a Second…