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 language | English |
|---|---|
| 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 |
| Pages | 534-539 |
| Volume | I |
| ISBN (Electronic) | 9789869721455 |
| Publication status | Published - 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
