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Iman El-Nabawi Abdel Wahed Shaalan; Ayman Shaaban Khalifa Ahmad – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study aimed at probing Egyptian and Saudi English as a Foreign Language (EFL) majors' perceptions of the impact of AI technology on enhancing linguistic competence and predicting the level of linguistic competence development due to the utilisation of AI. The descriptive survey method was used to accomplish the purpose of the study. A 27-item…
Descriptors: Prediction, English (Second Language), Second Language Instruction, Second Language Learning
Zola Chi-Chin Lai – International Journal of Computer-Assisted Language Learning and Teaching, 2025
This study examines the impact of artificial intelligence (AI)-assisted blended learning on writing self-efficacy and resilience among lower intermediate English as a foreign language learners. Using a quasi-experimental design, it compares outcomes of an experimental group using AI tools with a control group receiving traditional instruction.…
Descriptors: Artificial Intelligence, Blended Learning, Writing Instruction, English (Second Language)
Waad Alsaweed; Saad Aljebreen – International Journal of Computer-Assisted Language Learning and Teaching, 2024
Artificial intelligence revolution becomes a trend in most aspects of life. ChatGPT, an AI chatbot, has impacted various domains, including education and language learning. Enhancing writing abilities of ESL learners requires frequent writing practice and feedback, which ChatGPT can easily provide. However, ChatGPT's accuracy in identifying and…
Descriptors: Error Correction, Writing Instruction, Grammar, Morphemes
Mark Feng Teng; Jerry Huang – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Affective, behavioral, and cognitive engagements play crucial roles in how learners interact with and process written feedback on their language production. The present study examines the efficacy of peer feedback versus ChatGPT-generated feedback in an English as a Foreign Language (EFL) writing context. Participants (n = 169) were 1st-year…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Awatif Katib Alruwaili – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study proposes five components of corpus literacy skills (CL) based on a survey of previous studies to investigate in-service teachers' perceived CL skills. Subsequently, the relationships among these components will be explored. In addition, this study investigates whether age and teaching experience have an effect on perceived CL skills.…
Descriptors: Language Teachers, Teacher Attitudes, Correlation, Second Language Learning
Samah Abdulhadi Abduljawad – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This research explores the impact of ChatGPT, an AI tool, on ESL students' writing proficiency at a Saudi Arabian university. Using a mixed-methods approach, data from 130 students showed a significant positive effect on their writing. A focus group interview with six students highlighted opportunities such as personalized feedback, language skill…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
Hassan Saleh Mahdi; Ahmed Alkhateeb – International Journal of Computer-Assisted Language Learning and Teaching, 2025
This study aims to develop a robust rubric for evaluating artificial intelligence (AI)--assisted essay writing in English as a Foreign Language (EFL) contexts. Employing a modified Delphi technique, we conducted a comprehensive literature review and administered Likert scale questionnaires. This process yielded nine key evaluation criteria,…
Descriptors: Scoring Rubrics, Essays, Writing Evaluation, Artificial Intelligence
Sirin Sawangwan – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study statistically compared the differences between Chat Generative Pre-Trained Transformer (ChatGPT) and teacher instruction, comparing the use of ChatGPT with teachers' roles in developing English as a Foreign Language writing. A mixed-method approach was employed. The quantitative component examined learners' writing performance, before…
Descriptors: Technology Uses in Education, Artificial Intelligence, Computer Software, Synchronous Communication
Ali Alsaawi; Mohammad Almoaily; Fahad Almulhim; Nesreen Alahmadi; Hamza Alshenqeeti – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Artificial intelligence (AI) is one of the fastest growing technologies today. Its extraordinary scope and capabilities have led people of all ages and abilities to employ it in many of their activities. Language learning is a lifetime experience that could benefit from the use of AI and thus it is worth exploring people's awareness of this…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Jiaozhi Liang; Fang Huang; Timothy Teo – International Journal of Computer-Assisted Language Learning and Teaching, 2024
Artificial intelligence (AI) is useful to English as a foreign language (EFL) learners, but there is a paucity of research on how they perceive AI. Contextualized in a Chinese university setting, this study investigated Chinese university EFL learners' perceptions of Grammarly in English writing. Based on an extended technology acceptance model…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Writing Processes
Baoxin Feng; Lee-Luan Ng – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study aims to investigate whether VR-assisted language learning facilitates EFL learners' vocabulary learning and memory retention. One hundred seventy-seven Chinese undergraduate EFL learners were divided into VRG (VR-assisted instruction group) and CIG (conventional instruction group). Participants in the VRG (n = 75) were provided with…
Descriptors: Computer Simulation, Language Acquisition, Undergraduate Students, English Language Learners
Duong Thi Thuy Mai; Nguyen Van Hanh – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study investigated whether English proficiency (EP) and English self-efficacy (ESE) influence the credibility of ChatGPT-generated English content (CCGEC) of college students in the English-medium instruction (EMI) courses. We observed a college-level EMI course called "Technical Writing and Presentation", where instructors…
Descriptors: Language Proficiency, Self Efficacy, Credibility, Artificial Intelligence
Abhipriya Roy – International Journal of Computer-Assisted Language Learning and Teaching, 2024
Motivation is a key factor in the learning process, especially in language acquisition. This research examines the effects of using digital storytelling (DST) on motivation in English classrooms. The study, which used a mixed methods approach, involved 100 middle school students in Bengaluru selected through convenience sampling. Data collection…
Descriptors: Story Telling, Student Motivation, Middle School Students, Teaching Methods
Chenghao Wang; Xueyun Li – International Journal of Computer-Assisted Language Learning and Teaching, 2025
D-ID Creative Reality Studio (D-ID) is a platform for creating Artificial Intelligence (AI) presenter (digital human) videos, translating videos, and designing conversational agents. D-ID seamlessly integrates deep-learning face animation technology, large language models (LLMs), natural language processing (NLP), and speech synthesis and…
Descriptors: Artificial Intelligence, Design, Video Technology, Animation
Assim S. Alrajhi – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study examines and compares L2 grammatical accuracy in digital multimodal writing (DMW) and monomodal text-based writing (TBW). Utilizing a mixed-methods design, the research incorporates a dataset comprising 180 written texts, a questionnaire, and text-based interviews. Sixty EFL learners were assigned to two groups (TBW and DMW) and…
Descriptors: Grammar, Accuracy, Writing Strategies, Comparative Analysis
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