This article evaluates a Computer-Assisted Language Learning program called NativeAccent and demonstrates that the software is designed based on systematic instructional strategies and empirically-proven theories. The instructional strategies include an initial assessment, training sessions, a final reassessment, repeated measurement, graphic presentation and systematic and rigorous interpretive guidelines, and individualized dosage. The empirically-supported theories are rooted in the four research-based theories of Universal Design for Learning, Learning Science, Intelligent Tutoring System, and Automatic Speech Recognition. In matching the components of the four theories mentioned above to the design of NativeAccent and evaluating the software, the purpose is to help administrators, educators, and English language learners recognize the value of using a systematically designed, research-based, and user-friendly language-training platform which can not only facilitate and accelerate the language learning process, but it can also be cost-effective.
Nekoobahr, F., Hawkins, J., Santi, K. L., Antonelli, J. R., & Thorpe, J. L. (2020). Evaluating a Speech Training Software Program Called NativeAccent Based on Empirical Studies. Journal of English Learner Education. (11)1. 110-134.
Retrieved from https://stars.library.ucf.edu/jele/vol11/iss1/7
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