Background: Health education materials translated for limited English proficiency audiences should be clear and easy to understand. They should be reviewed by fluent and culturally competent reviewers using a standardised and validated assessment tool. Design/Setting: A total of 139 US Centers for Disease Control and Prevention COVID-19-translated…

The paper discusses the implications of recent advances in artificial intelligence for knowledge workers, focusing on possible complementarities and substitution between machine translation tools and language professionals. The emergence of machine translation tools could enhance social welfare through enhanced opportunities for inter-language…

Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…

To explore whether artificial intelligence can be used to enhance library services, this study used ChatGPT to answer reference questions. An assessment rubric was used to evaluate how well ChatGPT handled different question types and difficulty levels. Overall ChatGPT's performance was fair, but it did poorly in information accuracy. It scored…

Instrumental competence is universally considered a compulsory competence for translators. Given its significance, this study investigated the instrumental competence of novice translators in translating from and into a foreign language. To this end, an experiment was conducted with a group of 31 Thai EFL learners who had taken English-Thai…

Research has shown that fewer studies have focused on improving the reading abilities of middle school Black girls (Morris, 2007). As BGRDs progress through K-12 grades, they increasingly rely on basic and advanced reading skills (i.e., oral reading fluency [ORF] and comprehension) to learn. Providing BGRDs with engaging reading passages that are…

The present study investigates the efficacy of preparation time in four speaking tasks of TOEFL iBT. As the current pre-task planning time offered by ETS is very short, 15 to 30 seconds, we intended to explore how the test-takers' speaking quality would change if the preparation time was added to the response time, giving the respondents a…

We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…

This research paper delved into the critical issue of applying English as a Lingua Franca (ELF) assessment principles in local English language tests used for non-native English speakers in Iranian language institutes. A qualitative content analysis was made on 60 local tests, dissecting them into domains, dimensions, and rating rubrics to…

Practicing pronunciation through language learning systems incorporating Automatic Speech Recognition (ASR) technology has been effective in helping improve foreign language pronunciation. One of the ASR affordances is that it can provide immediate, personalized feedback on learners' pronunciation. We investigated the effects of two ASR-based…

This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…

Whole number computations are a critical skill that serves as a foundation upon which higher-order concepts in mathematics are taught to children. To facilitate their instruction, educators often use multiple representations to support a child's cognition. Representations with physical manipulatives are widely studied through a graduated…

As soon as a new technology emerges, the education community explores its affordances and the possibilities to apply it in education. In this article, we analyze sessions with ChatGPT around topics in basic linear algebra. We reflect on the affordances and changes between two versions of ChatGPT since its worldwide publication in our area of…

The role of ChatGPT and higher-order thinking skills (HOTS) as predictors of physics inquiry among uppersecondary students has yet to be widely explored. Therefore, this research aimed to examine upper-secondary students' role in ChatGPT (convenience and quality (CQ), motivation and engagement (ME), and accuracy and trust (AT)) and HOTS as…

Researchers have been investigating the effects of different planning conditions on learners' second language (L2) writing performance. However, whether such effects differ regarding specific planning conditions and task complexity has remained underexplored. This study examined the effects of pre-task planning (PTP) versus unpressured online…