Investigating Applications of Speech-to-Text Recognition to Assist Learning in Online and Traditional Classrooms. (March 2014)

• Record Type: Journal Article
• Authors: Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min
• Is Part Of: International journal of humanities and arts computing. Volume 8(2014)Supplement
• Page Start: 179
• Page End: 189
• Publication Date: 2014-03
• Subjects: Speech-to-Text Recognition -- STR -- Perception -- Effectiveness -- Learning behavior; Humanities -- Data processing -- Periodicals; Arts -- Data processing -- Periodicals; 001.30285
• DOI: 10.3366/ijhac.2014.0106
• Languages: English
• ISSNs: 1753-8548

Abstract

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.