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.
|Title of host publication||ICCE 2020 - 28th International Conference on Computers in Education Conference proceedings|
|Editors||Hyo-Jeong SO, Ma. Mercedes RODRIGO, Jon MASON, Antonija MITROVIC|
|Place of Publication||Taoyuan County|
|Publisher||Asia-Pacific Society for Computers in Education|
|Publication status||Published - 23 Nov 2020|
CitationSong, 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.
- Vocabulary learning
- Behavioral patterns