From Local dialects to Standard English: AI's role in preserving Language Diversity in West Kalimantan

Muh Harun. S., Eric Fowen

Abstract


This study investigates the role of artificial intelligence (AI), specifically Duolingo, in assisting Madura and Malay students in West Kalimantan in learning English while maintaining their local dialects. The research at MTS Al Munawarah Kubu Raya employed a qualitative case study approach with 20 students over three days. The primary research questions focused on whether AI could help students identify differences in their local dialects and improve their English pronunciation. The findings show that Duolingo’s AI technology effectively provides feedback on pronunciation, helping students recognize and correct mistakes. Despite the challenges posed by unique dialects, the AI tool proved valuable in improving students' English pronunciation skills. However, the study also highlights limitations, as AI may not fully address certain regional dialect features. In conclusion, while AI significantly aids language learning, its effectiveness is enhanced with teacher support, especially for overcoming dialectal influences. This study suggests that AI can be a powerful tool in English language acquisition while respecting linguistic diversity.


Keywords


Artificial Intelligence, Duolingo, English pronunciation, local dialects.

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References


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DOI: https://doi.org/10.26418/jefle.v5i2.89302

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