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…

Automated speaking assessment (ASA) of second language proficiency benefits both learners and educators. However, developing these systems for less commonly taught languages like Finnish and Finland Swedish is hindered by the need for large datasets with equal representation of all proficiency levels. Traditional machine learning algorithms used…

We introduce a short answer scoring engine made up of an ensemble of deep neural networks and a Latent Semantic Analysis-based model to score short constructed responses for a large suite of questions from a national assessment program. We evaluate the performance of the engine and show that the engine achieves above-human-level performance on a…

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…

Achieving proficiency in core foundational oral language (OL), reading, and writing skills remains difficult for students with specific learning disabilities (SLD) and foundational OL difficulty (National Center for Educational Statistics, 2022). Despite evidence linking OL skills in grammar (morphosyntax, syntax) and vocabulary (semantics) to…

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…

This study aimed to propose a new method for scoring C-Tests as measures of general language proficiency. In this approach, the unit of analysis is sentences rather than gaps or passages. That is, the gaps correctly reformulated in each sentence were aggregated as sentence score, and then each sentence was entered into the analysis as a polytomous…

This report describes a calibration, scoring, and reporting method applicable to an assessment requiring aggregation at multiple levels. We demonstrate the method using an example of an assessment that targets a small and diverse population, an English language proficiency assessment for English learners with the most significant cognitive…

English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry. With the rise in demand for such assessments, it has become increasingly necessary to have the automated human-interpretable results to prevent inconsistencies and ensure meaningful feedback to the…

The present study aimed to examine the effect of activity engagement, age, language proficiency, and time elapse on children's response accuracy to adult's questions. A total of 70, 3- to 6-year-old children participated in the study, engaging in a story-telling activity, a proficiency test, and two interviews. Additionally, 57 of these children…

The C-test is a type of gap-filling test designed to efficiently measure second language proficiency. The typical C-test consists of several short paragraphs with the second half of every second word deleted. The words with deleted parts are considered as items nested within the corresponding paragraph. Given this testlet structure, it is commonly…

The Hanyu Shuiping Kaoshi (HSK) is a multi-level, multi-purpose Chinese proficiency test developed by the Center for Language Education and Cooperation (previously the Office of Chinese Language Council International and, henceforth, referred to by its colloquial name "Hanban"). It assesses reading, writing, and listening skills of…

With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…

This test review focuses on the current version (2009) of [Chinese characters omitted] (Hanyu Shuiping Kaoshi), literally translated as the Chinese Language Proficiency Test and abbreviated as HSK. Tailored to non-native speakers of the Chinese language, this test consists of six proficiency levels (Levels 1 and 2 as beginners, Levels 3 and 4 as…