اسماعیل علی سلیمی

Highlighting the inseparable link between language, culture, and technology in English as a foreign language education, this qualitative exploratory study examined the impact of cultural and multicultural awareness on Iranian EFL teachers’ professional development within augmented virtual reality (AVR)-based and conventional teacher education programs. Thus, 28 EFL teachers participated in semi-structured interviews and reflective inquiries following eight-week training courses. Data analysis was done manually via qualitative thematic analysis and by MAXQDA according to Guskey’s (2002) professional development model. Consequently, seven themes for the conventional group (maintaining a culturally responsive environment, enhanced teachers’ behavior, curriculum improvement, creative ideas, enhanced skills, efficient communication, and preparing students for effective communication) and five themes for the AVR group (experiencing authentic material and environment, accessibility features, less interactivity in the classroom, teachers’ passion and confidence improvement, and less cultural boundaries) were extracted. The study highlighted the crucial role of cultural and multicultural immersion and adaptive teaching strategies in creating culturally responsive environments. This approach equipped EFL instructors to address diverse student needs and foster inclusive learning spaces effectively. Moreover, the AVR technology deepened cultural immersion and supported modern teaching approaches, enhancing educators' ability to engage with diverse cultural classrooms. Despite the observed improvements in trainees’ passion and confidence, a need for reconsidering technological aspects in contemporary teacher education was identified. Ultimately, the findings offered pedagogical implications for EFL teacher education and teacher trainers to equip teachers with the necessary skills to address cultural and multicultural challenges in EFL teaching and stimulate their professional growth.

Stance has been examined extensively in the past few decades. However, the majority of the studies have been synchronic, with the few exceptions being snapshot diachronic studies without trend-related inferential statistics. This study adopted a trend-related inferential statistical measure and a more continuous diachronic dataset to examine the changes in using stance in the research articles of English applied linguistics from 2000 to 2020. To this end, 416 articles were randomly selected from 10 applied linguistics journals indexed in the first quartile of Scopus and probed using LancsBox for normalized frequency of Hyland’s (2005b) list of stance markers. Results were then analyzed for trends using the Jonckheere-Terpstra test. The results showed significant decreases for the overall stance markers (J=37168, z= -2.85, d= -.28, p= .004)), hedges (J=37014, z= -2.96, d= -.293, p=0.003), boosters (J=36298, z= -3.47, d= -.345, p=.001), and attitude markers (J=36647, z= -3.22, d= -.32, p=0.001), while self-mention markers were found to have experienced a slight, non-significant increase (J=42527.5, z= .94, d= .096, p=0.349). The functional analysis of the selected excerpts showed that the quantitative decrease in the use of stance markers has been compensated for, with an increase in the modification range and strength of the used stance markers as the two ways we could discover. After discussing the findings, the paper ends with some suggestions for further research.