Vocabulary knowledge plays an important role in language learning and language proficiency, but it is difficult to know how much of a role it plays without appropriate vocabulary measures. In this article, we first discuss learner vocabulary in our research on Korean as a second/foreign language. Unable to find appropriate measures for receptive…

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…

Placement tests are used to support a particular need in a local context--to determine the best starting place for a student entering a specific programme of language study. This brief report will focus on the development of an innovative placement test with self-directed elements for our local needs at a university in Canada for students studying…

Published work on vocabulary assessment has grown substantially in the last 10 years, but it is still somewhat outside the mainstream of the field. There has been a recent call for those developing vocabulary tests to apply professional standards to their work, especially in validating their instruments for specified purposes before releasing them…

This study suggests a conceptual framework for policy-driven test development and validation, using the Test of Proficiency in Korean (TOPIK) as an example context. By linking the literature on policy analysis and argument structure in the validation of testing, the strong relationships between policy and testing are illustrated. This rationalizes…

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…

Although Diagnostic Classification Models (DCMs) were introduced to education system decades ago, it seems that these models were not employed for the original aims upon which they had been designed. Using DCMs has been mostly common in analyzing large-scale non-diagnostic tests and these models have been rarely used in developing Cognitive…

"The Common European Framework of Reference for Languages: Learning, Teaching, Assessment" (CEFR) (Council of Europe. 2001. "Common European Framework of Reference for Languages: Learning, Teaching, Assessment." Cambridge: Cambridge University Press) has been widely accepted as a reference for aligning curricula, learning…

In order to make assessments as widely accessible as possible, including to young learners from diverse backgrounds with a wide range of individual needs and characteristics, some developers of standardized tests have resorted to offering accessibility tools (e.g., magnifying/zoom) and accommodations (e.g., extended response time) to test takers.…

In Thailand, a series of policies have been implemented at all levels of Thai education. It is hoped that English language ability among Thai citizens will be improved. In primary education, following the English language education policy for primary school students introduced by the Office of Basic Education Commission (2016), English has been…

The "TOEFL® Essentials"™ test is a new English language proficiency test in the "TOEFL"® family of assessments. It measures foundational language skills and communication abilities in academic and general (daily life) contexts. The test covers the four language skills of reading, listening, writing, and speaking and is intended…

Inspired by Fulcher's (2012) data-driven approach to language assessment literacy (LAL), I introduce learners' voices as a way to better understand teachers' LAL. I also incorporate learnings from recent literature on child development regarding research with children to suggest that we consider assessment with learners in LAL and language…

The use of new digital formats in language learning and testing improves both the learning and acquisition skills development process of language tests. The process of listening comprehension is considered one of the most complex in the field of Computer Aided Learning Language (CALL) because it relates to multimodal learning channels and brain…

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…

As a result of the Japanese Ministry of Education's recent edict that students' written and spoken English should be assessed in university entrance exams, there is an urgent need for tools to help teachers and students prepare for these exams. Although some commercial tools already exist, they are generally expensive and inflexible. To address…