This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…

Mobile-assisted Language Learning (MALL) has been widely adopted in teaching and learning, yet there has been scant research concerning speaking test adaptation. An emerging type of mobile application is designed to facilitate test takers' performance in a high-stakes speaking test (e.g., the International English Language Testing System (IELTS)).…

Based on the concept of "learner agency", this single case study examines the self-instructed language learning process of a language learner with ChatGPT since May 2024. To serve the purpose of the study, qualitative data were collected through a semi-structured interview, the participant's chat logs with the bot, and his learning…

There has been much debate in assessment research about the inclusion of Global English accents in high-stakes listening tests. This study explored test-takers' attitudes toward the inclusion of different English accents in the Duolingo English Test (DET) 2021 test version and their associations with listening test scores. One hundred sixty…

Affordance refers to the opportunity available to a learning activity. Taking affordance as a theoretical and analytical construct, this exploratory study investigates learners' attitudes and the opportunities WeChat may provide for Chinese cultural knowledge (CCK) learning. The aim is to find out the potential new affordances and compare learners…

With the incremental integration of technology in writing assessment, technology-generated feedback has found its way to take further steps toward replacing human corrective feedback and rating. Yet, further investigation is deemed necessary regarding its potential use either as a supplement to or replacement for human feedback. This study aims to…

This mixed-methods study examined the effectiveness of Rosetta Stone, a mobile-based language learning application, on Chinese EFL students' listening, speaking, foreign language enjoyment (FLE), and foreign language anxiety (FLA). Two groups of intermediate Chinese EFL students from a language institute, with 33 students in the control group and…

Digital game-based vocabulary learning (DGBVL) integrates key game elements such as Challenges, Rewards, Human-Computer Interactions (HCI), Multimedia, and Fantasy. Although the overall effectiveness of digital games in enhancing English-as-a-foreign-language (EFL) vocabulary knowledge development is well-established, the specific roles of…

This innovations in practice article introduces a chatbot that was developed to support and motivate second language learners during the COVID-19 pandemic. The chatbot was designed to facilitate active, out-of-class language learning to supplement in-class input. It can adapt to learners' abilities and pace by chatting with them, thus providing…

Effective feedback plays a critical role in enhancing the writing skills of English as a Foreign Language (EFL) learners. This study examines the comparative effectiveness of three feedback approaches--Teacher e-feedback, AI-based feedback, and a hybrid model--in enhancing the writing performance of Iranian intermediate-level EFL learners. A…

Research suggests that English for Specific Purposes (ESP) students in English-as-a-Foreign-Language (EFL) contexts have difficulties understanding the passages in technical English textbooks of various fields of study including computer software engineering. Few experimental studies to date have investigated the effect of an online hybrid reading…

Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…

This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability…

Translanguaging and trans-semiotizing research has problematized the static view of language and argued that meaning making is a dynamic, material, social, and historical process across multiple timescales in complex eco-social systems. The second author proposed the concept of trans-semiotizing as an alternative lens to study language teaching…

Language assessment is increasingly computermediated. This development presents opportunities with new task formats and equally a need for renewed scrutiny of established conventions. Recent recommendations to increase integrated skills assessment in lecture comprehension tests is premised on empirical research that demonstrates enhanced construct…