Investigating the impact of a mobile learner-generated-content tool on pupils' after-school English vocabulary behavioural learning patterns, learning performance and motivation: A case study

Yanjie SONG, Hiroaki OGATA, Yin YANG, Kousuke MOURI

Research output: Contribution to journalArticlespeer-review

2 Citations (Scopus)

Abstract

This paper reports on a case study of investigating the effect of a mobile learner-generated content (m-LGC) tool on pupils' after-class English as a second language (ESL) vocabulary behavioural learning patterns, learning performance and motivation. Participants were 34 students in grade 4 from two classes in a primary school in Hong Kong. Data collection included students' learning logs on the m-LGC tool, pre-and post-vocabulary tests and pre-and post-questionnaires. Both qualitative and quantitative data analysis methods were adopted. An active group (AG) and a passive group (PG) were categorised based on visualisation and the number of student created learning logs. The results show that: 1) student behavioural learning patterns varied across AG and PG; 2) students in the AG made significant improvement in their learning performance, but those in the PG did not; 3) student learning motivation in the AG was improved, but that in the PG dropped significantly. Copyright © 2023 Inderscience Enterprises Ltd.
Original languageEnglish
Pages (from-to)406-425
JournalInternational Journal of Mobile Learning and Organisation
Volume17
Issue number3
Early online dateApr 2023
DOIs
Publication statusPublished - 2023

Citation

Song, Y., Ogata, H., Yang, Y., & Mouri, K. (2023). Investigating the impact of a mobile learner-generated-content tool on pupils' after-school English vocabulary behavioural learning patterns, learning performance and motivation: A case study. International Journal of Mobile Learning and Organisation, 17(3), 406-425. https://doi.org/10.1504/IJMLO.2023.131855

Keywords

  • Vocabulary learning
  • Mobile learner-generated-content tool
  • m-LGC
  • Behavioural learning patterns
  • Visualisation tool
  • Motivation

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