Examining primary students’ after-class vocabulary behavioural learning patterns in user-generated learning context: A case study

Yanjie SONG, Hiroaki OGATA, Yin YANG, Kousuke MOURI

Research output: Chapter in Book/Report/Conference proceedingChapters

Abstract

In this paper, we explored the primary students' after-class vocabulary behavioural learning patterns using a mobile user-generated-content (m-UGC) tool. A total number of 21 Grade 4 students from an elementary school in Hong Kong were recruited. Case study approach was adopted. Data collection included students' learning logs on the m-UGC tool. Content analysis and visualization were used to analyze data. Three sub-groups of primary students' after-class vocabulary behavioural learning patterns were identified and future studies were explored. Copyright © ICCE 2020 - 28th International Conference on Computers in Education, Proceedings. All rights reserved.
Original languageEnglish
Title of host publicationICCE 2020 - 28th International Conference on Computers in Education Conference proceedings
EditorsHyo-Jeong SO, Ma. Mercedes RODRIGO, Jon MASON, Antonija MITROVIC
Place of PublicationTaoyuan County
PublisherAsia-Pacific Society for Computers in Education
Pages534-539
VolumeI
ISBN (Electronic)9789869721455
Publication statusPublished - 23 Nov 2020

Citation

Song, Y., Ogata, H., Yang, Y., & Mouri, K. (2020). Examining primary students’ after-class vocabulary behavioural learning patterns in user-generated learning context: A case study. In H.-J. So, M. M. Rodrigo, J. Mason, & A. Mitrovic (Eds.), ICCE 2020 - 28th International Conference on Computers in Education Conference proceedings (Vol. I, pp. 534-539). Taoyuan County: Asia-Pacific Society for Computers in Education.

Keywords

  • Vocabulary learning
  • Visualization
  • Behavioral patterns

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