Many education tests and psychological surveys elicit respondent views of similar constructs across scenarios (e.g., story followed by multiple choice questions) by repeating common statements across scales (one-statement-multiple-scale, OSMS). However, a respondent's earlier responses to the common statement can affect later responses to it…

This systematic review, conducted in accordance with PRISMA (2020) guidelines, analysed the consequences of gender stereotypes on language processing from 2012 to 2023. This review investigates the impact of stereotypical beliefs on the interpretation and understanding of language, including words, phrases, discourse, perceptions of professional…

In face processing, an own-age recognition advantage has frequently been reported whereby observers are better at recognizing faces of their own compared to other age groups. We wanted to know whether own-age effects exist in voice recognition. Two listener groups, younger adults (n = 42, 19-35 years, 21 males) and older adults (n = 32,…

Purpose: This study aims to address the complexities of fixed and growth mindsets within educational settings and critique traditional assessment methods and interventions used in mindset research. It aims to develop a comprehensive approach -- encompassing methodology, conception and practice -- that incorporates mindsets within a broader growth…

This study examined bidirectional changes in adolescents' awareness of inequality and race consciousness between 2017 and 2018 in the USA and whether discriminatory experiences informed developmental pathways. The sample (N = 2645; Mage = 14.6, SD = 2.14; 56.5% female; > 0.01% transgender and gender diverse) was White (35.8%), Latinx (31.4%),…

A 2016 field study conducted in collaboration with the Houston Police Department reported that simultaneous lineups were diagnostically superior to sequential lineups, that confidence was strongly predictive of accuracy, and that high-confidence suspect identifications were highly reliable. The study also estimated that most lineups (65%)…

The growing demand for microcredentials in education and workforce development necessitates scalable, accurate, and fair assessment systems for both soft and hard skills based on students' lived experience narratives. Existing approaches struggle with the complexities of hierarchical credentialing and the mitigation of algorithmic bias related to…

Students and teachers with lesbian, gay, bisexual, transgender, queer/questioning, and other marginalized sexual orientations and gender identities (LGBTQ+) experience harsh discrimination in schools and society. This discrimination has fueled attacks on their humanity and threatened their safety in mathematics classrooms. Consequently, advocacy…

The coloniality matrix of power is foundational to many national education systems. Thinking with Lather ("Signs: Journal of Women in Culture and Society", 27(1), 199-227), we argue that "traces, fragments, and ruins survive, embedded in common sense, perspective, social practices, and political power" (p. 200) long after…

Through this paper, we aim to explore the ethical considerations related to machine translation, with a focus on eliminating bias and enhancing cultural sensitivity. By considering the experiences of individual participants, we aim to strengthen the ability of algorithms to adapt to diverse cultural environments, thereby contributing to the…

Globalization and increases in the numbers of English language learners have led to a growing demand for English proficiency assessments of spoken language. In this paper, we describe the development of an automatic pronunciation scorer built on state-of-the-art deep neural network models. The model is trained on a bespoke human-rated dataset that…

This case study explores the use of large language models (LLMs) as analytical partners for data exploration and interpretation. Grounded in original research, it navigates the intricacies of using LLMs for uncovering themes from datasets. The study tackles various methodological and practical challenges encountered during the research process…

Today's language models can produce syntactically accurate and semantically coherent texts. This capability presents new opportunities for generating content for language assessments, which have traditionally required intensive expert resources. However, these models are also known to generate biased texts, leading to representational harms.…

This project is an interdisciplinary endeavor to connect research in the teaching of English with Critical Disability Studies, an intersection that is crucial to disrupting ableism and creating more liberatory schooling and societal contexts that embrace broader notions of human differences. Invoking critical content analysis of five young adult…

The rapid integration of artificial intelligence (AI) into higher education has revolutionised academic research and teaching, offered transformative opportunities while raising significant ethical challenges. This Delphi study investigates the ethical dilemmas and institutional requirements for maintaining academic integrity in AI-driven…