This study investigates the perspectives of 12 journal reviewers from diverse academic disciplines on using large language models (LLMs) in the peer review process. We identified key themes regarding integrating LLMs through qualitative data analysis of verbatim responses to an open-ended questionnaire. Reviewers noted that LLMs can automate tasks…

Questions around the use and regulation of Generative AI (GenAI) in educational contexts are widespread among both students and educators; an important step toward addressing these questions is to gain a full and nuanced understanding of the perspectives at play. To that end, this study surveyed 742 biology students across nine higher education…

In this study, I compare the accuracy of automatic speech recognition (ASR) transcription against two measures of intelligibility provided by human listeners. The data came from readings of five texts recorded by 15 language learners of French. Human understanding was gauged by (i) asking a group of 36 naïve first language (L1) speakers of French…

Purpose: College placement assessments often overlook multilingual learners' full linguistic abilities and literacy engagement, as standardized tests primarily assess English proficiency rather than how students interact with academic texts. Directed Self-Placement (DSP) offers an alternative approach through self-assessment, with some models…

Background music with lyrics can be a prevalent distraction in environments where people study or read while music plays. However, such effects on reading comprehension across different language contexts remain insufficiently investigated. Guided by the duplex-mechanism account of auditory distraction and the semantic-interference hypothesis, the…

High school teachers often encounter incorrect solutions from students, especially when teaching combinatorics. This study investigates the ability of prospective mathematics teachers to assess the correctness of solutions to combinatorial problems and to falsify incorrect ones. 39 second-year prospective teachers participated in the experiment,…

This study examines the impact of written corrective feedback (WCF) timing on the collaborative writing process and writing accuracy development of adult learners of French as a second language. Forty-eight learners were divided into three groups to complete a collaborative writing task in pairs. The first group received immediate WCF via Google…

Background: Differentiating typical language development (TD) and developmental language disorder (DLD) in a bilingual context is difficult. The societal language is often the only mutual language of the child and the SLT. It has been shown that when assessing second language (L2) performance using tools developed for monolingual children,…

Artificial Intelligence (AI) is rapidly reshaping educational systems worldwide, raising critical debates about the reliability of AI-generated content, the validity of AI-driven assessments, and the ethical implications of its integration into diverse learning environments. This study examines the integrity of AI-enhanced education within the…

Agreement statistics and measures of prediction accuracy are often used to assess the quality of two measures of a construct. Agreement statistics are appropriate for measures that are supposed to be interchangeable, whereas prediction accuracy statistics are appropriate for situations where one variable is the target and the other variables are…

This study evaluated the impact of subgroup weighting for equating through a common-item anchor. We used data from a single test form to create two research forms for which the equating relationship was known. The results showed that equating was most accurate when the new form and reference form samples were weighted to be similar to the target…

This paper analyses the reliability and accuracy of the relationships between migration and employment status when estimated using a linked data set. The analysis will be carried out using a new source, the "Labour and Geographical Mobility Statistics," which is provided by the Spanish Statistical Office. This statistic is constructed by…

Purpose: Acoustic measurement of speech sounds requires first segmenting the speech signal into relevant units (words, phones, etc.). Manual segmentation is cumbersome and time consuming. Forced-alignment algorithms automate this process by aligning a transcript and a speech sample. We compared the phoneme-level alignment performance of five…

The study of socio-cognitive abilities emerged from intelligence research, and their specificity remains controversial until today. In recent years, the psychometric structure of face cognition (FC)--a basic facet of socio-cognitive abilities--was extensively studied. In this review, we summarize and discuss the divergent psychometric structures…

Domain-specific expertise changes the way people perceive, process, and remember information from that domain. This is often observed in visual domains involving skilled searches, such as athletics referees, or professional visual searchers (e.g., security and medical screeners). Although existing research has compared expert to novice performance…