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All Journal Indonesian EFL Journal
Namira Amaliah Putri
Universitas Muhammadiyah Prof. DR. HAMKA
Languange, Linguistic, Communication & Media

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AI SPEECH RECOGNITION IN HIGH-SCHOOL EFL SPEAKING ASSESSMENT: EFFECTIVENESS, MEANINGFULNESS, ENJOYMENT Namira Amaliah Putri; Siti Zulaiha; Herri Mulyono; Jihan Fakhira
Indonesian EFL Journal Vol. 12 No. 2 (2026)
Publisher : University of Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ieflj.v12i2.67

Abstract

This mixed-methods study examined the use of an AI-powered automatic speech recognition (ASR) tool (SpeechAce) for high-school EFL speaking assessment, with a focus on perceived effectiveness, meaningfulness, and enjoyment. Thirty students completed pre- and post-surveys, and ten students participated in semi-structured interviews; classroom observations were documented using a structured checklist. The intervention lasted two weeks (four 40-minute meetings) in which students accessed SpeechAce on their smartphones via the web and followed an iterative speak–check–revise routine. Quantitative results (paired-samples t-tests) showed significant gains in perceived speaking skill and meaningfulness, whereas enjoyment remained stable. Qualitative findings indicated that automated, non-judgmental feedback supported lower anxiety, increased willingness to speak, and greater learner autonomy, while teacher facilitation (warm-ups, modelling, and brief mini-lessons) helped students interpret feedback and set revision goals. These findings suggest that ASR-supported assessment can function as a formative learning episode in school contexts when tasks, feedback interpretation, and revision opportunities are explicitly structured.
Co-Authors Herri Mulyono Jihan Fakhira Siti Zulaiha