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The effects of data-driven learning upon vocabulary acquisition for secondary international school students in Vietnam

Published online by Cambridge University Press:  16 October 2015

Jacob Nolen Karras*
Affiliation:
Singapore International School, Vietnam (email: [email protected])

Abstract

Within the field of computer assisted language learning (CALL), scant literature exists regarding the effectiveness and practicality for secondary students to utilize data-driven learning (DDL) for vocabulary acquisition. In this study, there were 100 participants, who had a mean age of thirteen years, and were attending an international school in Ho Chi Minh City, Vietnam. This particular milieu unsurprisingly comprised ‘third culture kids’ (TCKs) and ‘cross-cultural kids’ (CCKs). They were assigned to a control and experimental group; both had several intensive weeks of online-dictionary learning training, while the experimental group also experienced intensive DDL training. This was done prior to the start of the eight-week longitudinal study. Major findings included a significant longitudinal main effect for both groups, significantly overall higher results for the experimental group than the control, and a significant difference among subjects’ grade level was discovered. Furthermore, the experimental group exhibited a significantly marked increase in vocabulary results in the later weeks of the experiment. In general, these results show that DDL can be successful in the secondary school English as a foreign language (EFL) context and that it promotes significantly better vocabulary acquisition when used in conjunction with online-dictionary vocabulary learning methods, especially for a sustained longitudinal period of time.

Type
Regular papers
Copyright
Copyright © European Association for Computer Assisted Language Learning 2015 

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