Academic Journal

A Conceptual Exploration of Phonetic Transcription in Improving EFL Learners' Pronunciation.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A Conceptual Exploration of Phonetic Transcription in Improving EFL Learners' Pronunciation.
Συγγραφείς: Nugroho, Yudha Fergian, Priyatmojo, Arif Suryo
Πηγή: IDEAS: Journal on English Language Teaching & Learning, Linguistics & Literature; Jun2026, Vol. 14 Issue 1, p1300-1310, 11p
Θεματικοί όροι: Phonetic transcriptions, Phoneme (Linguistics), Second language acquisition, Foreign language education, Educational resources, Limited English-proficient students, Articulation (Speech)
Περίληψη: Pronunciation continues to be a significant hurdle for numerous EFL learners, especially in situations where particular English phonemes do not exist in their native language. Although prior research has examined different techniques like mobile apps, phonetic exercises, and shadowing methods. Phonetic transcription is frequently overlooked as an organized tool for teaching pronunciation. This conceptual article suggests a gradual way to integrate phonetic transcription, specifically the International Phonetic Alphabet (IPA), into EFL classrooms to enhance long-term pronunciation improvement. The discussion is structured into four primary sections: the common pronunciation difficulties encountered by learners, the phonetic transcription, the importance of phonetic transcription for enhancing pronunciation, and the incorporation of this method into education. Based on theories and earlier studies, the findings indicate that phonetic transcription can enhance pronunciation skills among EFL learners. Additionally, once learners familiar with English phonemes, they can independently search for phonetic transcriptions in dictionaries or online resources. [ABSTRACT FROM AUTHOR]
Copyright of IDEAS: Journal on English Language Teaching & Learning, Linguistics & Literature is the property of English Education Study Program and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index