With the growing prevalence of artificial intelligence (AI) in educational settings, this research aimed to understand how AI-based assessments affect EFL learners beyond just language proficiency. Therefore, this study explored the impacts of integrating AI-driven listening exams on foreign language learners' mindsets, self-competence,…

Although AI technologies show great promise for education, their inclusion into assessment systems has generated debates regarding student motivation, anxiety, learning opportunities, and academic results. This study explored the influence of teacher support in AI-assisted exams on L2 learners' demotivation, anxiety, L2 learning experience, and…

This research explores Iranian teachers' and students' attitudes toward using e-portfolios for speaking assessment in an institutional context. This qualitative study involved 12 intermediate students as well as 14 EFL teachers at an English language institute (Safir) in Tehran, Iran. Data were gathered through interviews and focus group…

Screencast technology in English writing assessment offers personalized, detailed feedback, but not dialogic. However, integrating it with ipsative assessment (IA) principles may sustain conversations between teachers and learners on students' writing development. This study explored the impact of screencast-based ipsative assessment (SIA) on…

As more various types of computer-assisted language learning (CALL) programs have been incorporated into language classrooms over the recent decades, it has become more important to uncover whether, to what extent, and under which moderator variables CALL can be yield more effective outcomes than traditional language instruction. The issue of…

The current study explored and compared the employment of interactive and interactional metadiscourse markers (MDMs) by the International English Language Testing System (IELTS) speaking test takers at beginner, intermediate, and advanced levels. To conduct this discourse analysis research, a mixed-methods approach with concurrent transformative…

In recent years, the incorporation of artificial intelligence (AI) into instructional settings has sparked important interest in how it can develop different aspects of language learning, principally in the realm of assessment. While traditional assessment methods have long been central to evaluating learners' progress, the rise of AI tools…

A challenging aspect of online education is assessment since academic integrity could be violated due to students' cheating behaviors. The current qualitative research investigated English teachers' perceptions of why students cheat in online assessments. Besides, it attempted to find strategies to reduce cheating in online assessments. Twelve…

Whilst the role of disciplinary literacy in science, technology, engineering, and mathematics (STEM) education is becoming more prominent, there appears to be little adaptation or allowance made for English as a foreign or second language (EFL/ESL) students learning science in English, as well as no clear understanding of what comprises…

Some impediments in language learning may have a detrimental impact on learners' actual performance on the test and lead to anxiety and demotivation. Language achievement is influenced by self-assessment (SA), academic resilience (AR), academic motivation (AM), and test-taking skills (T-TS) among other factors. Considering the relevance of these…

This study investigates the efficacy of a new testing tool, a Web-based application known as the Academic Writing Wizard (AWW), in creating a unified English technology-based writing curriculum in the Arabian Gulf countries, focusing particularly on the case of Oman. The application was piloted in three Oman high schools selected by the Omani…

This research explores the use of the Quizlet application in teaching Chinese as a foreign language, employing a mixed methods approach. The participants of this study were 60 international students who majored in Chinese at a university in China. The students were divided into two groups and received instruction through traditional teaching…

Artificial intelligence (AI) and Intelligent Computer-Assisted Language Assessment (ICALA) are transforming the educational landscape by radically changing how lessons are taught and students are evaluated. As the masterminds behind the curriculum, it is critical to consider the emotional and mental health of teachers who applied ICALA as part of…

This study investigates the impact of artificial intelligence (AI)-assisted assessment on young L2 learners' vocabulary knowledge, immunity, and resilience, considering parental and teacher support roles. Sixty junior high school students in Afghanistan, aged 13 to 14, participated in the study. They were divided into an experimental group…

Language assessment literacy has emerged as an important area of research within the field of language testing and assessment, garnering increasing scholarly attention. However, the existing literature on language assessment literacy primarily focuses on teachers and administrators, while students, who sit at the heart of any assessment, are…