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Learning Analytics and Visualization of Japanese EFL Learners’ Learning Behavior in Speaking Practice
PROCEEDING

, University of Tsukuba, Japan ; , Center for Education of Global Communication (CEGLOC), University of Tsukuba, Japan

Society for Information Technology & Teacher Education International Conference, in Austin, TX, United States ISBN 978-1-939797-27-8 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

The purpose of this study is to develop a system which supports Japanese learners’ speaking practice utilizing Text-to-Speech (TTS) technology and to investigate how they practice with the system on the basis of learning log data. The characteristics of the system are (i) they can choose words, chunks, sentences, or passage which they prefer to practice at any time; and (ii) the system utilizes a common TTS engine which enables learners to access through Internet. The system stored all the log data on participants’ behaviors; every click of words, chunks, sentences, and passages with time stamps. First, this paper demonstrates how the system visualizes each learner’s learning behavior. The seven-week experimental study shows that there are three types of group observed in the analysis regardless of their proficiency levels. In addition, some participants change their learning behavior depending on the materials.

Citation

Fu, S. & Ono, Y. (2017). Learning Analytics and Visualization of Japanese EFL Learners’ Learning Behavior in Speaking Practice. In P. Resta & S. Smith (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 166-172). Austin, TX, United States: Association for the Advancement of Computing in Education (AACE). Retrieved November 22, 2019 from .

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