DIGITAL TECHNOLOGY AND ENGLISH PRONUNCIATION LEARNING
Abstract
Digital technology has become an essential component of modern language education. Over the past decade, the integration of mobile applications, artificial intelligence, and speech recognition tools has significantly changed the way learners approach pronunciation practice. This paper examines how mobile‑assisted language learning (MALL) and Automatic Speech Recognition (ASR) technologies contribute to improving English pronunciation skills among learners of English as a foreign language. The study analyzes recent academic research and highlights the pedagogical advantages, motivational benefits, and practical challenges associated with digital pronunciation training tools. Findings suggest that applications such as ELSA Speak provide immediate feedback, promote independent learning, and help students improve pronunciation accuracy through repeated practice. However, technological limitations, accessibility issues, and overreliance on automated feedback remain potential concerns. The paper concludes that digital pronunciation tools are most effective when integrated into a balanced learning environment that includes teacher guidance, collaborative practice, and structured classroom activities.
Fields of Study & Subjects
English Language Learning and Teaching
Mobile Learning in Education
Phonetics and Phonology Research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 March 2026
- Language
- EN