This study implemented the principles of dynamic assessment (DA) with computer technology, iSpring Quiz Maker, to (1) identify the English listening difficulties of 172 L2 English learners; (2) diagnose their individual learning needs, and (3) promote their future potential abilities. Upon evaluating the participating junior high school students'…

Substantial progress has been made toward applying technology enhanced conversation-based assessments (CBAs) to measure the English-language proficiency of English learners (ELs). CBAs are conversation-based systems that use conversations among computer-animated agents and a test taker. We expanded the design and capability of prior…

"The English Speaking Achievement Test for Japanese Junior High School Students" (ESAT-J) was introduced to contribute to levelling up public English education in Tokyo in 2022. Critics, however, have made claims in the mass media against the use of the test and stakeholder groups have called for its cancellation. This paper presents an…

This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…

Assessment of language skills for upper elementary and middle schoolers is important due to the strong link between language and reading comprehension. Yet, currently few practical, reliable, valid, and instructionally informative assessments of language exist. This study provides validation evidence for Monster, P.I., which is a gamified,…

The parasitic model proposes that novel words in L3 learning will build parasitic connections to already learned words that share orthographic or phonological similarities. This accounts for little in terms of the connections between words that share very few similarities. The present study explored the parasitic connections of L3 word concepts to…

While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…

This study investigates the impact of artificial intelligence (AI)-assisted assessment on young L2 learners' vocabulary knowledge, immunity, and resilience, considering parental and teacher support roles. Sixty junior high school students in Afghanistan, aged 13 to 14, participated in the study. They were divided into an experimental group…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

Introduction: This paper describes the exploratory case and initial evaluation of the computer-based testing (CBT) prototype. The advantage of CBT over paper-based testing (PBT) is that it allows us to control the order of questions and provides test takers with continuous tasks capturing their thought processes. Additionally, their response…

This research applied a web-based dynamic assessment system, GPAM-WATA system, to help low English achievers to perform self-directed learning of junior high school English grammar. A quasi-experimental design was adopted. A total of 124 seventh graders from four classes participated in this research. Participants were randomly divided into the…

Implementing a randomized controlled trial design, the present study investigated the effects of two types of accommodations, linguistic modification and a glossary, for English learners (ELs) taking a computer-based mathematics assessment. Process data including response time and clicks on glossary words were also examined to better interpret…

We examined semiotic exchangeability in pop-up glossary translations and illustrations used as supports for second language learners (SLLs) in computer-administered mathematics tests. In a sample of 516 mathematics items, Grades 3-8 and 11, from a large-scale assessment program in the US, test developers identified terms that could be translated…

Research indicates that the performance-gap between English Language Learners (ELLs) and their non-ELL peers is partly due to ELLs' difficulty in understanding assessment language. Accommodations have been shown to narrow this performance-gap, but many accommodations studies have not used a randomized design and are based on relatively small…

The authors describe Monster, PI, which is an app-based, gamified assessment that measures language skills (knowledge of morphology, vocabulary, and syntax) of students in grades 5-8 and provides teachers with interpretable score reports to drive instruction that improves vocabulary, reading, and writing ability. Specifically, the authors describe…