Speaking to Machine: Validity of Pronunciation Assessment by Technology-Driven Systems

Authors

  • Ali Babaeian Centre for Educational Measurement and Assessment, Faculty of Arts and Social Sciences, The University of Sydney, AUSTRALIA.

DOI:

https://doi.org/10.55544/ijrah.5.3.31

Keywords:

Pronunciation assessment, technology-driven, intelligibility, high- and low-stakes assessments

Abstract

This mini review discusses the validity of technology-driven pronunciation assessment systems, focusing on their alignment with intelligibility as the central criterion of communicative competence. The review highlights the need for theoretical recalibration to ensure valid and inclusive assessment practices in high- and low-stakes contexts by interrogating scoring mechanisms, native-norm dependencies, and human-machine correlations.

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References

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Published

2025-05-30

How to Cite

Babaeian, A. (2025). Speaking to Machine: Validity of Pronunciation Assessment by Technology-Driven Systems. Integrated Journal for Research in Arts and Humanities, 5(3), 276–279. https://doi.org/10.55544/ijrah.5.3.31

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Articles