The study explored the educational potential of the application of student-generated digital visual content for learning English as a second language (ESL) by undergraduate students enrolled in the course Foreign Language which is actually Introduction to Legal English. This study used a mixed-methods approach. The researchers designed a…

We describe the design and development of a technology-based inference-making intervention system that includes a set of interactive learning modules, each of which engages students to (a) view age-appropriate children's videos, (b) learn vocabulary words that are central to main ideas in each video, (c) respond to inferential questions, (d)…

In this study, it was aimed to determine the effect of Plickers, which is one of the Web 2.0 education tools, on success in affix-root teaching to 5th grade students. In the study, random design with pretest-posttest control group, which is one of the real trial models, was used. The study group of the study was determined by homogeneous sampling…

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…

University classrooms are increasingly populated by students with diverse nationalities and native languages (L1). The growing number of students in English-led classrooms who speak English as a second or lower language (L2) may face added difficulties in understanding the specific task objectives or directions, as explained by native-…

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…

Background/purpose: Despite the rapid assimilation of generative artificial intelligence (GenAI) into education, and initial evidence suggesting its potential in language learning, rigorous empirical investigations into its efficacy for cultivating specific language skills remain limited. This study aimed to address this lacuna by examining the…

This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners' writing proficiency, revision practices, and writing quality. Sixty postgraduate EFL students were randomly assigned to either an experimental group using Grammarly as an AI-enhanced feedback…

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…

This study explores vocabulary assessment practices in Saudi Arabia's hybrid EFL ecosystem, leveraging platforms like Blackboard and Google Forms. The focus is on identifying prevalent test formats and evaluating their alignment with modern pedagogical goals. To classify vocabulary assessment formats in hybridized EFL contexts and recommend the…

Given the novelty of human--machine communication (HMC) in task-based language learning (TBLL), we conducted a multimethodological pilot study to explore the use of Alexa in out-of-class task-based learning to mediate texts in English as a foreign language. Fourteen Polish intermediate learners participated in the quasi-experiment and programme…

The study examined the use of the Oral Proficiency Interview (OPI) in assessing Chinese as a second language and the challenges faced by teachers in the Chinese Language Scholarship (CLS) program. The Concurrent Triangulation Mixed Method Research was used in the study in which qualitative and quantitative data are collected simultaneously,…

VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…

Purpose: General language abilities of children with cochlear implants have been thoroughly investigated, especially at young ages, but far less is known about how well they process language in real-world settings, especially in higher grades. This study addressed this gap in knowledge by examining recognition of sentences with complex syntactic…

Questions exist as to whether AI tools, such as ChatGPT, can aid learning. This study examined whether in-class exercises involving error detection in text generated by ChatGPT can aid students' foreign language writing. Participants were Arabic-English speakers who were classified as ranging from modest to competent English users according to…