Beyond the Hype: AI Outperforms VR/AR and Gamification in Foreign Language Education
This study aims to identify the most effective digital technology for foreign language education by comparing artificial intelligence (AI), virtual and augmented reality (VR/AR), and gamification, using a mixed-methods design and drawing systematic parallels with existing literature.
Although emerging technologies are often promoted for their pedagogical potential, there is limited evidence on whether teachers’ real-world experiences confirm or challenge these theoretical claims.
A convergent mixed-methods survey was conducted with 154 in-service English and foreign language teachers from 37 countries. Questionnaire data were analyzed using descriptive statistics, composite indices, and item-level measures, while qualitative responses were thematically coded. Both strands were integrated and compared with prior research to assess convergence or divergence between theory and practice.
The study provides an evidence-based comparison of teachers’ perceptions with theoretical expectations, clarifying which technologies deliver proven pedagogical value and which remain primarily motivational or experimental.
AI was the most widely adopted (88.3%) and consistently rated highest for skill development, learner autonomy, and workload reduction. Gamification (72.1%) was valued for motivation and engagement, while VR/AR (16.9%) was praised for immersion yet limited by financial and infrastructural barriers. Open-ended responses reinforced these patterns and emphasized AI’s role as a “pedagogical assistant”.
Teachers and institutions should prioritize AI adoption for scalable, adaptive, and feedback-rich instruction, while employing gamification and VR/AR as supplementary tools for motivation and immersion.
Future research should test AI’s long-term impact on competence development through experimental and longitudinal designs, and develop sustainable models for VR/AR integration.
Findings highlight AI as the most pedagogically effective and scalable technology, informing decisions on teacher training, institutional investment, and digital education policy.
Future research should address ethical concerns surrounding AI, such as plagiarism, over-reliance, and bias, and examine contextual factors that influence adoption across regions and levels of teaching experience.
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