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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
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
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
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
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
Wael Alharbi – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This mixed-methods study investigates the mismatch between student use of AI for academic tasks and teacher awareness in Saudi Arabian higher education. Surveys of 78 teachers and 243 students in English for Specific Purposes courses at public and private universities included Likert-scale items and an open-ended question on AI tools' benefits,…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Best Practices
Al Seghayer, Khalid – International Journal of Computer-Assisted Language Learning and Teaching, 2020
This study was designed to investigate the adequacy of EFL learners' abilities in three major dimensions of digital literacy skills and whether self-assessments of competence were consistent with their actual performance. It also identified factors that affected learners' use of the selected digital literacy skills. To this end, 60 Saudi EFL…
Descriptors: Technological Literacy, Second Language Learning, English (Second Language), Second Language Instruction
Yahya, Noorchaya; Alotaibi, Hind; El-Dakhs, Dina Abdel Salam – International Journal of Computer-Assisted Language Learning and Teaching, 2020
This study reveals the impact of using parallel corpora on EFL students' writing, and how students perceive it. Female undergraduates (n=46) in an EFL writing course in Saudi Arabia were divided randomly into experimental and control groups taught by the same instructor, using the same materials. Students in the experimental group were introduced…
Descriptors: Computational Linguistics, Females, Undergraduate Students, English (Second Language)