ABSTRACT

Lee, Kyoung Rang. 2018. Developing English learning program using speech recognition-based feedback. Korean Journal of English Language and Linguistics 18-4, 492-514. This study was planned to explore whether a computer program using speech recognition-based feedback (ET-Bot) would improve Korean middle school English learners' speaking. The results of 46 middle school English learners were analyzed in terms of the accuracy and the time of pronouncing words, sentences, and a paragraph which had been carefully chosen, based on the previous studies and existing pronunciation diagnosis tools. Immediate feedback provided by the speech recognition tool right after participants read aloud seemed to motivate them to correct themselves. Even though there were not big differences in terms of gender as well as English performance scores, possible gender differences should be further explored in terms of their attitudes and affective factors to pronouncing English words and sentences. Also, the free speaking task that ET-Bot provided in addition to reading aloud tasks showed its possible usage to diagnose the participants' speaking proficiency. Using a speech recognition-based feedback program, this study hopes to provide a firm basis for future studies about helping English learners correct their own mistakes with the immediate feedback, helping teachers diagnose their students' speaking, and suggesting a new way to research on speaking by helping researchers transcribe easily. Detailed results and discussions are provided.

KEYWORD

speech recognition, immediate feedback, English learning program, reading aloud, gender differences, ET-Bot

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