In language assessment, AI technology has been incorporated in task design, assessment delivery, automated scoring of performance-based tasks, score reporting, and provision of feedback. AI technology is also used for collecting and analyzing performance data in language assessment validation. Research has been conducted to investigate the…

A long-standing debate in the testing of listening concerns the authenticity of the listening input. On the one hand, listening texts produced by item writers often lack spoken language characteristics. On the other hand, real-life recordings are often too context-specific to stand alone, or not suitable for item generation. In this study, we…

While scholars have proposed different models of language assessment literacy (LAL), these models have mostly comprised prescribed sets of components based on principles of good practice. As such, these models remain theoretical in nature, and represent the perspectives of language assessment researchers rather than stakeholders themselves. The…

Following the burgeoning growth of artificial intelligence (AI) and machine learning (ML) applications in language assessment in recent years, the meteoric rise of ChatGPT and its sweeping applications in almost every sector have left us in awe, scrambling to catch up by developing theories and best practices. This special issue features studies…

How can one construct a test that provides accurate measurements across the range of performance levels while providing adequate coverage of all of the critical areas of the domain, yet that is not unmanageably long? This paper discusses the approach taken in a linear test of academic English language, and how the transition to a computer-based…

The present study is part of a larger mixed methods project that investigated the speaking section of the Advanced Placement (AP) Japanese Language and Culture Exam. It investigated assumptions for the evaluation inference through a content analysis of test taker responses. Results of the content analysis were integrated with those of a many-facet…

Recent literature in the field of L2 vocabulary assessment has advocated for the development of written receptive vocabulary tests such as Vocabulary Levels Tests (VLTs) that use: (a) meaning-recall item formats, (b) a minimum of 40 item counts per 1,000-frequency band to improve level estimates, and (c) lemmas (not word-families) as the lexical…

The COVID-19 pandemic led to rapid innovation among language assessment developers who had to adapt their testing processes to address various restrictions from governments and institutions. This overview introduces some of the challenges and opportunities test developers grappled with during this period as well as introduces the six commentaries…

The field of language testing has made great strides in measuring language use. It is a monolingual construct, however, that anchors standardized language testing operations and classroom practices. Language use and performance research, see for example the MLJ special issue of 2011, demands that language testing operations also consider…

When the COVID-19 pandemic made it impossible to do in-person, on campus testing, we were forced to create a new system to screen International Teaching Assistants (ITA) for Temple university. We used this opportunity to address many of the concerns and problems that we had identified with the previous test, and created a new test that could be…

Prompted by Taiwanese university students' increasing demand for English proficiency assessment, the absence of a test designed specifically for this demographic subgroup, and the lack of a localized and freely-accessible proficiency measure, this project set out to develop and validate a computerized adaptive English proficiency testing (E-CAT)…

The following interview was conducted with Catherine Elder in spring of 2020, at the beginning of the pandemic. Cathie has had a varied career in language testing, including work at universities in Australia and New Zealand and at the Language Testing Resource Center in Melbourne. In this interview, Cathie shares some highlights of her somewhat…

This study investigates meaning-making processes in language and literacy assessments. Using a social semiotic perspective, it examines how adult second language learners with emerging literacy self-articulate their understanding of multimodal elements and components utilized in low-stakes assessments, and the strategies they use to make meaning…

Recently, research in second language acquisition has seen an increased attention on low-educated low-literate (LESLLA) learners. However, few of the existing instruments to measure L2 proficiency have been validated for use with this population. In this paper, we examine how adult L2 learners with diverging educational backgrounds perform on and…

The TOEFL iBT test was introduced in 2005 to better reflect the language demands of real-life academic tasks than did previous versions of the test. The task-based design of the test was intended to support the interpretation of its scores as a trustworthy measure of international students' ability to use English in an academic environment. Until…