The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…

We report on a college-level study of student reflection and instructor prompts using scoring and corpus analysis methods. We collected 340 student reflections and 24 faculty prompts. Reflections were scored using trait and holistic scoring and then reflections and faculty prompts were analyzed using Natural Language Processing to identify…

The use of translation and interpreting (T&I) in the language learning classroom is commonplace, serving various pedagogical and assessment purposes. Previous utilization of T&I exercises is driven largely by their potential to enhance language learning, whereas the latest trend has begun to underscore T&I as a crucial skill to be…

To explore the acquisition of interpreting strategies by student interpreters, the present study first built a framework of 22 strategies based on a thorough literature review, and then identified and compared 21 strategies adopted by 66 student interpreters in a task of B-to-A consecutive interpreting (CI) between two training stages (2nd month…

Open-ended, short-answer questions, referred to as constructed responses (CR), allow students to express knowledge and skills through their own words. While CRs can reduce the likelihood of guessing correct answers, they also enable students to provide errant responses due to a lack of knowledge or a misunderstanding of the question.…

Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…

This study investigates a novel approach to automatically assessing essay quality that combines natural language processing approaches that assess text features with approaches that assess individual differences in writers such as demographic information, standardized test scores, and survey results. The results demonstrate that combining text…

This study presents the results of four experiments in the framework of processing instruction conducted with four language learner groups (Spanish, "n"?=?43; German, "n"?=?46; Russian, "n"?=?44; and French, "n"?=?48; discussed in that order). In each experiment, the processing problem was held constant (the…

The Katzenberger Hebrew Language Assessment for Preschool Children (henceforth: the KHLA) is the first comprehensive, standardized language assessment tool developed in Hebrew specifically for older preschoolers (4;0-5;11 years). The KHLA is a norm-referenced, Hebrew specific assessment, based on well-established psycholinguistic principles, as…

Background: Sentence construction and syntactic organization are known to be poor in children with specific language impairments (SLI), but little is known about the way in which children with SLI approach language tasks, and static standardized tests contribute little to the differentiation of skills within the population of children with…

Automated scoring by means of Latent Semantic Analysis (LSA) has been introduced lately to improve the traditional human scoring system. The purposes of the present study were to develop a LSA-based assessment system to evaluate children's Chinese sentence construction skills and to examine the effectiveness of LSA-based automated scoring function…

The article reports on a comparative study of the abilities of aphasic speakers and normal control subjects to comprehend and produce verbs and sentences. The analysis is based on test results obtained as part of the standardization procedure for a test battery originally developed for Dutch and since translated and adapted for English and…