Published Paper Details:

The integration of artificial intelligence (AI) into language education has introduced new possibilities for improving learner engagement, personalization, and communication skills. Recent studies highlight the growing role of AI technologies such as natural language processing, intelligent tutoring systems, conversational agents, and speech-based feedback in enhancing second and foreign language learning. In parallel, mobile-assisted language learning has emerged as an effective approach for providing flexible, accessible, and self-directed learning environments. However, existing systems often face challenges related to limited interaction, insufficient personalization, and inadequate support for real-time language practice. This paper presents Spokina, an AI-powered mobile language learning application designed to address these challenges through intelligent interaction and adaptive learning support. The proposed system integrates NLP-driven text analysis with a mobile-first architecture developed using Flutter, a backend framework based on CodeIgniter, and a MySQL database for learner data management. Spokina aims to support language acquisition by enabling interactive practice, contextual feedback, and continuous learner engagement within a scalable and user-friendly platform. By combining AI-driven language processing with principles of mobile and digital learning, the system seeks to enhance speaking confidence, learning autonomy, and accessibility. The study demonstrates the potential of AI-enabled mobile applications to complement traditional language learning methods and contribute to more inclusive and effective language education.