The current paper intends to exploit the Many Facet Rasch Model to investigate and compare the impact of situations (items) and raters on test takers' performance on the Written Discourse Completion Test (WDCT) and Discourse Self-Assessment Tests (DSAT). In this study, the participants were 110 English as a Foreign Language (EFL) students at…

This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…

This replication study seeks to extend the generalizability of an exploratory study (McDonough et al., 2019) that identified holds (i.e., temporary cessation of dynamic movement by the listener) as a reliable visual cue of non-understanding. Conversations between second language (L2) English speakers in the Corpus of English as a Lingua Franca…

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.…

This paper proposes to use depth perception to represent raters' decision in holistic evaluation of ESL essays, as an alternative medium to conventional form of numerical scores. The researchers verified the new method's accuracy and inter/intra-rater reliability by inviting 24 ESL teachers to perform different representations when rating 60…

This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…

This paper provides an experimental study of interlanguage phonological characteristics of Chinese students learning Thai as a foreign language and the accentedness perceived by native Thai speakers. Both production and perception experiments were designed to see how Chinese students acoustically produced Thai final nasal consonants and how Thai…

Whereas many scholars have emphasized the relative importance of "comprehensibility" as an ecologically valid goal for L2 speech training, testing, and development, eliciting listeners' judgments is time-consuming. Following calls for research on more efficient L2 speech rating methods in applied linguistics, and growing attention toward…

The quality of writing in a second language (L2) is one of the indicators of the level of proficiency for many college students to be eligible for departmental studies. Although certain software programs, such as Intelligent Essay Assessor or IntelliMetric, have been introduced to evaluate second-language writing quality, an overall assessment of…

Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…

The use of machine translation (MT) in the academic context has increased in recent years. Hence, language teachers have found it difficult to ignore MT, which has led to some concerns. Among the concerns, its accuracy has become a major factor that shapes language teachers' pedagogical decision to use MT in their language classrooms. Despite the…

Nonverbal behavior is essential in human interaction (Gullberg, de Bot, & Volterra, 2008; McNeill, 1992, 2005). For second language speakers, nonverbal features can be helpful for successful and efficient communication (e.g., Dahl & Ludvigsen, 2014). However, due to the complexity of nonverbal features, language testing institutions have…

This study examined the use of a popular Automatic Speech Recognition (ASR), Google Voice Typing (GVT), to automatically assess English as second language pronunciation. It aimed to answer the following question: What is the relationship between GVT-rated scores and human-rated scores? To answer this question, we compared audio recordings of 56…

This study investigates the effect of explicit teaching of segmentals vs. prosody on the quality of interpreting by Farsi-to-English interpreter trainees. Participants were native speakers of Farsi and BA students of English translation and interpreting in Iran, who were assigned to one of three groups. No differences in English language skills…

Recent advances in machine learning have made automated scoring of learner speech widespread, and yet validation research that provides support for applying automated scoring technology to assessment is still in its infancy. Both the educational measurement and language assessment communities have called for greater transparency in describing…