Enculturating seamless language learning through artifact creation and social interaction process

Lung-Hsiang WONG, Ching Sing CHAI, Guat Poh AW, Ronnel Bornasal KING

Research output: Contribution to journalArticle

19 Citations (Scopus)


This paper reports a design-based research (DBR) cycle of MyCLOUD (My Chinese ubiquitOUs learning Days). MyCLOUD is a seamless language learning model that addresses identified limitations of conventional Chinese language teaching, such as the decontextualized and unauthentic learning processes that usually hinder reflection and deep learning. MyCLOUD focuses on developing new learning practices among students who traverse the in-school and out-of-school learning spaces, in the hope of bridging the formal and informal aspects of language learning. This paper focuses on two stages of DBR across 13 months and traces students’ artifact creations and social interactions facilitated by the design and re-design of the learning environment. The findings indicate that the students’ participation rates and the qualities of their artifacts and online interactions were significantly improved towards the second stage of the intervention. The key implication from the DBR cycle is that the teachers need to plan and enact enculturation activities to systematically promote the motivation and qualities of artifact creations and online interactions. “Facets” of artifact creation and online interaction skills are distilled to guide the enculturation design as a result. Copyright © 2015 Taylor & Francis.
Original languageEnglish
Pages (from-to)130-157
JournalInteractive Learning Environments
Issue number2
Early online dateMar 2015
Publication statusPublished - 2015



Wong, L.-H., Chai, C. S., Aw, G. P., & King, R. B. (2015). Enculturating seamless language learning through artifact creation and social interaction process. Interactive Learning Environments, 23 (2), 130-157. doi: 10.1080/10494820.2015.1016534.


  • Seamless language learning
  • Student artifacts
  • Social interactions
  • Design-based research
  • Mobile-assisted language learning