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... Show More

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 completed three writing tasks on identical topics. The findings reveal that there are no significant differences in grammatical accuracy between TBW and DMW. Moreover, learners' perceptions indicate that the integration of multi-semiotic recourses has no detrimental effect on grammatical accuracy. Additionally, learners adopted a preferred recursive strategy, involving text writing followed by integrating nonlinguistic components to complete and revise their DMW compositions. Consequently, two factors emerge as crucial in elucidating the comparable level of grammatical accuracy in DMW and TBW: (1) active engagement in each linguistic and nonlinguistic component, and (2) an awareness of the essentiality of the text component, necessitating the prioritization of the linguistic resource or the deliberate separation of text writing from other components within the DMW process. This study concludes with pedagogical implications and suggestions for further research.

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... Show More

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 immersive VR devices, whereas the others (n = 102) learned in conventional classrooms with instructors. The results illustrate that the spatial design of virtual environments may be related to lexical memory performance. Target words that are placed in positions where they are interacted with more frequently tend to perform better in terms of being memorized. It also suggests that words corresponding to items placed between 60-180 cm of the ground are better retained. Subsequent interviews revealed that VR technology helps learners encode information based on spatial location. The VR technology's visual, aural, and textual stimulation also help learners subconsciously remember the vocabulary items.

This study analysed 498 articles published between 2005 and 2023 on Self-regulated Language Learning (SRLL) indexed in the core collection of the Web of Science database, using a bibliometric... Show More

This study analysed 498 articles published between 2005 and 2023 on Self-regulated Language Learning (SRLL) indexed in the core collection of the Web of Science database, using a bibliometric methodology based on scientific mapping, co-occurrence and burstness analysis. Results show China is the most influential contributor to SRLL research, with the largest number of total publications and citations. According to the keyword co-occurrence and burstness analysis, mobile-learning, higher education, learning context, learner strategies stand out in this field. It is also shown that listening as a significant linguistic skill is less explored in the SRLL field. It is proven that learners' language skills could be improved through mobile-assisted collaborative learning in informal settings. By identifying the developmental patterns in SRLL research, this paper can guide future researchers to explore in-depth the significant issues in this field and bring insight for further SRLL studies in terms of themes, pedagogy and methodologies.

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... Show More

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 encouraged their students of non-English majors to use ChatGPT for discovery learning in their EMI learning tasks. A survey of 800 students showed that ChatGPT was primarily used for providing explanations, suggesting ideas and structures, and preparing presentations. Analyzing the survey data with the MANCOVA procedure revealed that students' EP levels did not influence their CCGEC, and ESE did not moderate the relationship between EP and CCGEC in the EMI course context. These findings suggest that ChatGPT can be a valuable tool for EMI students regardless of their EP or ESE.

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... Show More

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, challenges, and impact on learning and academic integrity. The study reveals a significant gap between teachers' perceptions of students' AI skills and the reality of AI integration, leading to discrepancies in judging student knowledge and assessment authenticity. To address these challenges, the manuscript proposes strategies, including targeted professional development for teachers, swift adoption of best practices for ethical use of generative AI in classrooms, and fostering open dialogue within institutions. This research provides insights to inform teaching practices, curriculum development, and policy-making in higher education's evolving landscape. Future research could benefit from more comprehensive sampling to enhance generalizability

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... Show More

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. Finally, this study reports on the in-service teacher's point of view of having CL skills, as well as their limitations. A total of 105 female teachers self-reported their proficiency levels in CL skills as moderate to satisfactory. They were more confident in the fifth component, which was creating teaching materials using corpora output. We hypothesised that teachers' CL skills were linked to age and experience, in which the fifth component correlated negatively with teachers' ages and teaching experiences. In addition, this study sheds light on the importance of the search component of CL skills, as it is a fundamental skill that influences the acquisition of other skills.

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.... Show More

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 methods included questionnaires and semi-structured interviews. Students were divided into experimental and control groups, with the former receiving DST-integrated instruction and the latter being taught using traditional methods. The results of the quantitative analysis showed a positive influence on motivation in the experimental group compared to the control group. Qualitative results showed that implementing DST increased students' motivation, engagement, and understanding of the English language more effectively than traditional teaching methods. Further research is encouraged to explore the full potential of DST to improve student language skills and motivation.