AUTOMATIC SPEECH RECOGNITION SYSTEM TO ENHANCE THE USE OF VOCALIZATION STRATEGY

Saki Hirata, Masanori Yamada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Vocabulary learning that overlooks the discrimination of single sounds in English language learning could lead to communication difficulties, such as the inability to hear and speak English pronunciation. To address this issue, vocalization strategy, in which students listen to the sounds of words and memorize them aloud, is considered a useful learning strategy, and has been reported to influence performance in English language learning. Many studies have shown that metacognition promotes the use of this strategy. In this study, we developed an English vocabulary learning support system using dictation-type speech recognition technology and evaluated whether it activates learners' metacognition and promotes the use of vocalization strategies.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2022
EditorsDemetrios G. Sampson, Demetrios G. Sampson, Dirk Ifenthaler, Dirk Ifenthaler, Pedro Isaias, Luis Rodrigues
PublisherIADIS Press
Pages147-154
Number of pages8
ISBN (Electronic)9789898704436
Publication statusPublished - 2022
Event19th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2022 - Lisbon, Portugal
Duration: Nov 8 2022Nov 10 2022

Publication series

NameProceedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2022

Conference

Conference19th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2022
Country/TerritoryPortugal
CityLisbon
Period11/8/2211/10/22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Education

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