An increasing number of language testing companies are developing and deploying deep learning-based automated essay scoring systems (AES) to replace traditional approaches that rely on handcrafted feature extraction. However, there is hesitation to accept neural network approaches to automated essay scoring because the features are automatically…

Stakeholders in exam-driven countries are responsible for developing test-related tasks to assess the quality of English as a Foreign Language (EFL) teaching and learning. Hence, the language assessment literacy (LAL) of different stakeholders has to be investigated. This mixed-methods study explored the required LAL competencies among two groups…

This chapter reports on a study investigating non-expert raters' scoring behavior and cognitive processes involved in evaluating speech acts and pragmatic routines in L2 Chinese. Pragmatic production data were collected from 51 American learners of Chinese, who completed a 12-item oral Discourse Completion Test (DCT). The learners were divided…

Measurement of language learners' development in speaking proficiency is important for practicing language teachers, not only for assessment purposes, but also for evaluating the effectiveness of materials and approaches used. However, doing so effectively and efficiently presents challenges. Commercial speaking tests are often costly, and beyond…

Language learning has increasingly benefited from Computer-Assisted Language Learning (CALL) technologies, especially with Artificial Intelligence involved in recent years. CALL in writing learning acknowledged as the core of language learning is being realized by technologies like Automated Writing Evaluation (AWE), and Automated Essay Scoring…

This technical manual describes the purpose and intended uses of the TOEFL iBT test, its target test-taker population, and relevant language use domains. The test design and scoring procedures are presented first, followed by a research agenda intended to support the interpretation and use of test scores. Given the updates to the test starting…

This study investigated the role of ChatGPT4o as an AI peer assessor in English-as-a-foreign-language (EFL) speaking classrooms, with a focus on its scoring reliability and the effectiveness of its feedback. The research involved 40 first-year English major students from two parallel classes at a Chinese university. Twenty from one class served as…

This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…

This study aims to examine whether differences exist in the factors influencing the difficulty of scoring English summaries and determining scores based on the raters' attributes, and to collect candid opinions, considerations, and tentative suggestions for future improvements to the analytic rubric of summary writing for English learners. In this…

Evaluating written texts is believed to be a time-consuming process that can lack consistency and objectivity. Automated essay scoring (AES) can provide solutions to some of the limitations of human scoring. This research aimed to evaluate the performance of one AES system, Grammarly, in comparison to human raters. Both approaches' performances…

Comparative Judgement (CJ) is an evaluation method, typically conducted online, whereby a rank order is constructed, and scores calculated, from judges' pairwise comparisons of performances. CJ has been researched in various educational contexts, though only rarely in English as a Foreign Language (EFL) writing settings, and is generally agreed to…

The developments in artificial intelligence (AI) have significantly transformed second language (L2) learning and assessment, and the role of AI technologies in L2 assessment have been investigated in recent research. This study presents a bibliosystematic analysis of AI-assisted L2 assessment. Using both systematic analysis and bibliometric…

This report provides an in-depth comparison of TOEFL iBT® and the Duolingo English Test (DET) in terms of the degree to which both tests assess academic language proficiency in listening, reading, writing, and speaking. The analysis is based on publicly available documentation on both tests, including sample test questions available on the test…

Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)--the three dimensions in evaluating L2 speakers' oral proficiency, and the subsequent impact indices…

The same L2 speaking performance may be analysed and evaluated in very different ways by different teachers or raters. We present a new, technology-assisted research design which opens up to investigation the trajectories of convergence and divergence between raters. We tracked and recorded what different raters noticed when, whilst grading a…