• DocumentCode
    2870591
  • Title

    Effects of Applying STR for Group Learning Activities on Learning Performance in a Synchronous Cyber Classroom

  • Author

    Kuo, Tony C T ; Shadiev, Rustam ; Hwang, Wu-Yuin ; Chen, Nian-Shing

  • Author_Institution
    Dept. of Manage. & Inf., Nat. Open Univ., Taiwan
  • fYear
    2011
  • fDate
    6-8 July 2011
  • Firstpage
    232
  • Lastpage
    236
  • Abstract
    This study aimed to apply Speech to Text Recognition (STR) for individual oral presentations and group discussions of students in a synchronous cyber classroom. An experiment was conducted to analyze the effectiveness of applying STR on learning performance. Students´ perceptions and behavioral intentions toward using STR were also investigated. The results revealed students of the experimental group performed significantly better compared to students of the control group in writing essays, intermediate test and post-test. In addition, students perceived the STR was easy to use and useful for learning. Most of the students expressed that they are willing to use the STR for learning in the future. The results of this study showed that the STR is beneficial to students´ oral presentations and group discussions in a synchronous cyber classroom so as to improve their overall learning achievement.
  • Keywords
    behavioural sciences computing; educational computing; speech recognition; speech synthesis; STR; behavioral intentions; essay writing; group discussions; group learning activities; online courses; oral presentations; speech-to-text recognition; synchronous cyber classroom; Accuracy; Materials; Speech; Speech recognition; Training; Writing; group discussion; speech to text recognition; students´ individual oral presentation; synchronous cyber classroom;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
  • Conference_Location
    Athens, GA
  • ISSN
    2161-3761
  • Print_ISBN
    978-1-61284-209-7
  • Electronic_ISBN
    2161-3761
  • Type

    conf

  • DOI
    10.1109/ICALT.2011.74
  • Filename
    5992310