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…

The International English Language Testing System (IELTS) is a high-stakes exam where Writing Task 2 significantly influences the overall scores, requiring reliable evaluation. While trained human raters perform this task, concerns about subjectivity and inconsistency have led to growing interest in artificial intelligence (AI)-based assessment…

This experimental study explores how source use features impact raters' judgment of argumentation in a second language (L2) integrated writing test. One hundred four experienced and novice raters were recruited to complete a rating task that simulated the scoring assignment of a local English Placement Test (EPT). Sixty written responses were…

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…

Despite the increasing interest in using AI tools as assistant agents in instructional settings, the effectiveness of ChatGPT, the generative pretrained AI, for evaluating the accuracy of second language (L2) writing has been largely unexplored in formative assessment. Therefore, the current study aims to examine how ChatGPT, as an evaluator,…

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…

This article explores how the analysis of inter-rater discourse can be used to support collective reflective practice in second language (L2) assessment. To demonstrate, a focused case of the discourse between two experienced language teachers as they negotiate assessment decisions on L2 written texts is presented. Of particular interest was the…

The assessment of English speaking in EFL environments can be inherently subjective and influenced by various factors beyond linguistic ability, including choice of assessment criteria, and even the rubric type. In classroom assessment, the type of rubric recommended for English speaking tasks is the analytical rubric. Driven by three aims, this…

Although automated spoken language assessment is rapidly growing, such systems have not been widely developed for signed languages. This study provides validity evidence for an automated web application that was developed to assess and give feedback on handshape and hand movement of L2 learners' Swiss German Sign Language signs. The study shows…

Raters vary from each other in their severity and leniency in rating performance. This study examined the factors affecting rater severity in peer assessments of oral presentations in English as a Foreign Language (EFL), focusing on peer raters' self-construal and presentation abilities. Japanese university students enrolled in EFL classes…

The current study employed many-facet Rasch measurement (MFRM) to explain the rater bias patterns of EFL student teachers (hereafter students) when they rate the teaching performance of their peers in three assessment environments: online, face-to-face, and anonymous. Twenty-four students and two instructors rated 72 micro-teachings performed by…

This study employed a mixed-methods approach to examine how rater performance develops during a semester-long rater certification program for an English as a Second Language (ESL) writing placement test at a large US university. From 2016 to 2018, we tracked three groups of novice raters (n = 30) across four rounds in the certification program.…

This paper extends the use of Generalizability Theory to the measurement of extemporaneous L2 speech through the lens of speech perception. Using six datasets of previous studies, it reports on "G studies"--a method of breaking down measurement variance--and "D studies"--a predictive study of the impact on reliability when…

Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…

The literature on using scoring rubrics in writing assessment denotes the significance of rubrics as practical and useful means to assess the quality of writing tasks. This study tries to investigate the agreement among rubrics endorsed and used for assessing the essay writing tasks by the internationally recognized tests of English language…