SPEECH-TO-TEXT TECHNOLOGY AS A TOOL FOR PRONUNCIATION ASSESSMENT AND SELF-CORRECTION IN EFL CONTEXTS: A PILOT STUDY
Kata Kunci:
Teknologi pengenalan suara, penilaian pengucapan bahasa Inggris, Computer-Assisted Language Learning (CALL), umpan balik pengucapan, pengajaran EFLAbstrak
Studi percontohan ini meneliti keefektifan teknologi speech-to-text (STT) sebagai mekanisme umpan balik objektif untuk penilaian pengucapan dan koreksi diri dalam kelas Bahasa Inggris sebagai Bahasa Asing (EFL). Penelitian ini melibatkan 75 mahasiswa universitas Jepang dari tiga kelas yang berinteraksi dengan aplikasi STT selama dua sesi 25 menit dalam satu semester. Data yang dikumpulkan mencakup tingkat keberhasilan transkripsi, peningkatan fitur pengucapan spesifik, dan respon afektif siswa. Hasil menunjukkan bahwa perangkat lunak STT memberikan umpan balik objektif dan langsung yang melengkapi metode pengajaran pengucapan tradisional, dengan siswa menunjukkan peningkatan terukur dalam tingkat keberhasilan transkripsi (dari 38% menjadi 62%) dan melaporkan peningkatan kepercayaan diri dalam kemampuan berbicara mereka. Studi percontohan ini berkontribusi pada bidang Computer-Assisted Language Learning (CALL) yang berkembang dengan menawarkan pendekatan praktis dan mudah diakses untuk umpan balik pengucapan yang dapat diimplementasikan dengan persyaratan teknologi dan investasi waktu minimal.
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Referensi
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Hak Cipta (c) 2025 James Henry
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