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…

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…

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…

The purpose of the current study was twofold: examining the efficacy of data-driven learning (DDL) (hands-on and hands-off approaches) in the realization of interactional metadiscourse markers (IMMs) among English as a foreign language (EFL) learners and analyzing the learners' perceptions of DDL. The participants consisted of 93 male and female…

In recent decades, technology has changed the methods of teaching and assessment in educational settings all over the world. One notable innovation that has gained prominence in English language teaching (ELT) is the utilization of e-portfolios to evaluate and enhance students' writing and, potentially, speaking skills. While students have shown…

This paper investigates the effects of formative assessment (FA) via artificial intelligence (AI) on EFL students' reading comprehension development, online academic enjoyment, personal best goals (PBGs), and academic mindfulness. To achieve this, 80 Kuwaiti students were selected through convenience sampling and divided into the experimental…

This research paper explores podcasting as a viable assessment technique in current academic English language teaching pedagogy. The study was done with two 3rd-year university classes who created the podcast in groups of four as an academic English-speaking exam with the goal being to enhance the student's intrinsic and extrinsic motivation,…