فروغ امیرجلیلی

As digital technologies increasingly reshape educational practices, understanding their role in language acquisition has become vital. This mixed-methods study investigates the impact of Virtual Reality (VR) and Mobile-Based Instruction on learner motivation and engagement in English language learning, two approaches gaining prominence in modern classrooms. A total of 48 EFL students, aged 15 to 20, from a private school in Yazd participated in the study. Motivation was measured in terms of intrinsic interest and willingness to learn, while engagement was assessed across cognitive, affective, behavioral, and temporal dimensions. Quantitative analysis of engagement scores and motivation scores revealed no statistically significant difference between the two instructional approaches. However, qualitative findings from semi-structured interviews provided deeper insights into learners’ affective responses, cognitive engagement, and learning experiences. Participants described VR-based learning as more immersive, engaging, and confidence-boosting, while Mobile-Based Instruction was valued for its structured approach and teacher support. These findings underscore the importance of integrating immersive technologies with traditional pedagogical methods to enhance foreign language acquisition. The study suggests that a blended learning model may best accommodate diverse learner preferences and optimize language learning outcomes. Such a model could involve weekly VR-based sessions focused on immersive conversational practice, supplemented by mobile-based lessons for grammar, vocabulary reinforcement, and peer collaboration, with the teacher serving as a facilitator and guide across both platforms.

With the advent of artificial intelligence (AI) tools, language teachers are presented with new possibilities for addressing challenges in language education. This intervention study aimed to investigate views from ESL teachers on the benefits and challenges of integrating ChatGPT, An artificial intelligence (AI) language model created by OpenAI in 2023, into ESL classrooms for personalized language learning. The study carried out in two upper-secondary schools, combines teacher questionnaires and interviews with a personalized learning intervention based on ChatGPT. The primary focus was on understanding the effect of ChatGPT-based personalized learning assignments on learners’ grammatical knowledge in a local classroom setting. Through the questionnaire, initial teacher concerns regarding the precision, dependability, and helpful application of AI tools were investigated. Despite these reservations, the intervention demonstrated a notable decrease in grammatical errors in student writing. Subsequent interviews revealed a positive shift in teacher perceptions, indicating increased receptivity to AI-based approaches after witnessing positive outcomes. The study highlights the importance of teacher training and hands-on experience in overcoming initial hesitations associated with AI tool adoption in pedagogical practices. Moreover, the promising results suggest that AI-powered instruments, like ChatGPT, have the potential to enhance personalized language learning. This underscored the significance of educators cultivating their Technological Pedagogical Content Knowledge (TPACK) to overcome hesitations and effectively harness the potential of ChatGPT for augmenting individualized learning. The study’s findings provided evidence supporting the utilization of ChatGPT-based personalized learning assignments to meet the specific requirements of the schools in question.