Alongside modelling the "Letter to the Editor" publication format, she raises timely questions about membership engagement, voluntary service & the sustainability of professional associations. New Year’s resolutions anyone? (2/2)

Also check out our Vodcast that directly feeds into this article on the Language Testing YouTube channel, where scholars from Latin America give their perspectives on barriers and enablers to publishing: www.youtube.com/watch?v=xP23... (4/4)

Language Testing is committed to equalizing opportunity & enhancing diversity & inclusion of our authors, readers, reviewers, Editorial team & scholarly community. We congratulate Salomé Villa Larenas on illuminating the state of play & challenges – crucial to effecting change! (3/4)

The Virtual Special Issue synthesizes & revives previously published work in #LanguageTesting that deserves renewed attention. Look forward to further contributions that this piece inspires! (2/4)

The Editorial by @lukeharding.bsky.social discusses contrasting outlooks on the future of language assessment in the age of AI and highlights themes in the special issue articles that spark optimism for the field’s development in terms of ethics and responsibility. doi.org/10.1177/0265...

Ikkyu Choi and Jiyun Zu propose a new method for generating bias-free language assessment content, ensuring that the content is free from systematic relationships between demographic entities and their attributes. doi.org/10.1177/0265...

Ekaterina Voskoboinik et al. leverage LLMs for automatic assessment of L2 speech in Finnish & Finland Swedish and explore the viability of LLM-generated responses to enhance automated scoring of responses from learners at less common proficiency levels. doi.org/10.1177/0265...

Shungo Suzuki and colleagues introduce an L2 speaking assessment program that utilizes ML scoring and a conversational AI agent to provide contextualized diagnostic feedback on lexical use to learners. doi.org/10.1177/0265...

Yasuyo Sawaki and colleagues compare LLM and writing instructor checklist-based evaluations of written summaries generated by Japanese undergraduate English learners. doi.org/10.1177/0265...

Andrew Runge and colleagues introduce an innovative interactive writing task where test-takers receive LLM-generated follow-up prompts aimed to help test-takers elaborate on their initial response to address relevant themes. doi.org/10.1177/0265...

Liam Hannah et al. examine whether including prosody in oral reading fluency assessment can reduce scoring bias, improve diagnostic efficacy, and enhance prediction of reading comprehension across language background. doi.org/10.1177/0265...

The Special Issue features 7 original articles. Erik Voss investigates the performance and transparency of traditional machine learning methods vs. neural network models for scoring English essays in the TOEFL11 learner corpus. doi.org/10.1177/0265...

Guest Editors Eunice Eunhee Jang and Yasuyo Sawaki introduce the Special Issue: doi.org/10.1177/0265...