INVESTIGATING APPLICATIONS OF SPEECH-TO-TEXT RECOGNITION TO ASSIST LEARNING IN ONLINE AND TRADITIONAL CLASSROOMS

Rustam Shadiev, Wu Yuin Hwang, Yueh Min Huang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This study applied Speech-to-Text Recognition (STR) technology during teaching and learning activities to assist learning. Two experiments were carried out in this study. In the first experiment, the STR technology was applied during one-way lectures and students’ oral presentations in an online synchronous cyber classroom. In the second experiment, the STR technology was applied during seminars in a traditional classroom. This study aimed to investigate participants’ perceptions toward the STR technology, the effectiveness of applying the STR technology on learning, and participants’ learning behavior to use STR-texts. This paper reports and discusses results of the study. Furthermore, this paper provides research and practical implications for using STR-texts effectively.

Original languageEnglish
Pages (from-to)179-189
Number of pages11
JournalInternational Journal of Humanities and Arts Computing
Volume8
DOIs
StatePublished - Mar 2014

Keywords

  • Effectiveness
  • Learning behavior
  • Perception
  • Speech-to-Text Recognition
  • STR

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