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- Title
Investigating an application of speech-to-text recognition: a study on visual attention and learning behaviour.
- Authors
Huang, Y‐M.; Liu, C‐J.; Shadiev, R.; Shen, M‐H.; Hwang, W‐Y.
- Abstract
One major drawback of previous research on speech-to-text recognition (STR) is that most findings showing the effectiveness of STR for learning were based upon subjective evidence. Very few studies have used eye-tracking techniques to investigate visual attention of students on STR-generated text. Furthermore, not much attention was paid to learning differences, such as learning ability, learning style preferences and gender, to use STR texts. Therefore, this study carried out one experiment. Firstly, participants' visual attention on STR-generated text was investigated by employing eye-tracking technique. Secondly, how differently effective STR-generated texts can be to influence participants' learning achievement was tested. Thirdly, this study compared visual attention and learning behaviour with the different characteristics of participants, such as learning ability, learning style preferences and gender, to use STR-generated texts. Finally, this study explored students' perceptions regarding usefulness of STR-generated texts for learning. This paper discusses results, research findings and implications along with conclusions and several suggestions for future development and research.
- Subjects
TAIWAN; SPEECH-to-text systems; EYE tracking; COGNITIVE styles; LEARNING ability; ATTENTION; ONLINE education; HIGHER education; ADULTS; AUTOMATIC speech recognition; COLLEGE students; COMPUTER assisted instruction; GROUNDED theory; INTERVIEWING; LEARNING strategies; RESEARCH methodology; PHOTOGRAPHY; RESEARCH funding; STATISTICAL hypothesis testing; STATISTICS; T-test (Statistics); VIDEO recording; WRITING; DATA analysis; TASK performance; PRE-tests &; post-tests; EDUCATIONAL outcomes; INTER-observer reliability; DATA analysis software; DESCRIPTIVE statistics; EYE movement measurements; MANN Whitney U Test; ONE-way analysis of variance
- Publication
Journal of Computer Assisted Learning, 2015, Vol 31, Issue 6, p529
- ISSN
0266-4909
- Publication type
Article
- DOI
10.1111/jcal.12093