Year: 2026
Type: article
Abstract: This study utilises mobile augmented reality (AR) to enhance our understanding of multiword expressions (MWEs) and emphasise that linguistic diversity is part of cultural heritage. The main objective was to implement and evaluate the impact of a multilingual AR resource (in Moldovan, English, Russian, and Spanish) in educational settings and to identify a corpus of MWEs located in Spain. The research was conducted by applying a marker-based AR system in five academic subjects involving N = 220 undergraduate students enrolled in education degrees. Data were collected through two surveys, using both qualitative and quantitative methods that combined descriptive statistics with content analysis. Large Language Models (LLMs) were used to assist with data coding, complemented by iterative human validation. The findings revealed that the application was highly positively received, with 94% of participants acknowledging its usefulness and 83% expressing satisfaction. Furthermore, this study identified a teaching–learning procedure to enhance linguistic diversity in classrooms. Overall, the results suggest that mobile AR constitutes an effective and inclusive pedagogical tool that fosters active learning as a multimodal learning process and provides valuable localised MWE data to support future developments in corpus annotation.
Source: Social Sciences
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $2,172
Funder: Fundación Ramón Areces
OpenAlex ID: W7125696395
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