Language Testing
@langtestjournal.bsky.social
Language Testing is a fully peer reviewed international journal that publishes original research and review articles on language testing and assessment.
journals.sagepub.com/home/ltj
journals.sagepub.com/home/ltj
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...
October 28, 2025 at 6:03 AM
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...
October 28, 2025 at 6:01 AM
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...
October 28, 2025 at 6:01 AM
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...
October 28, 2025 at 6:00 AM
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...
October 28, 2025 at 5:59 AM
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...
October 28, 2025 at 5:58 AM
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...
October 28, 2025 at 5:57 AM
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...
October 28, 2025 at 5:56 AM
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...
October 28, 2025 at 5:55 AM
Guest Editors Eunice Eunhee Jang and Yasuyo Sawaki introduce the Special Issue: doi.org/10.1177/0265...