Digital Immersion in Language Education: A Case for Personalization through Advanced Image Editing

Abstract

This study investigates the role of digital immersion through image-editing tasks in enhancing grammar learning in an English as a Foreign Language (EFL) classroom. Building on action research principles, the project was conducted with 28 intermediate-level learners at a private university in Central Asia over a 10-week period. The intervention integrated grammar-focused lessons with personalised digital tasks, where students used Photoshop or AI-assisted platforms to place themselves into imagined contexts and create captions employing specific grammatical structures such as conditionals, reported speech, and the future perfect. Data were collected through classroom observations, student artefacts, and learner reflections, and analysed using a mixed approach of thematic coding and rubric-based accuracy scoring. Findings indicated increased student engagement, stronger motivation, and significant improvements in grammatical accuracy (21% average increase) compared to baseline performance. Students also demonstrated enhanced collaboration, creativity, and critical thinking, aligning with theories of task-based learning, constructivism, and self-determination. The discussion highlights the pedagogical implications of integrating digital immersion into grammar teaching, particularly in promoting personalised, collaborative, and meaningful language use. However, limitations include the small sample size, reliance on self-reports, and lack of triangulated data. The study concludes with recommendations for future research, including longitudinal studies, comparative evaluations with immersive VR, and explicit integration of digital literacy training. Overall, the findings suggest that image-editing tasks represent a low-cost, accessible, and sustainable form of digital immersion that bridges formal grammar instruction and real-world communicative practice.