Vocabulary Learning and Consolidation With Mobile Application

Dongshuo Wang, Bin Zou, Minjie Xing

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Language learners at all levels need a way of recording and organising newly learned vocabulary for consolidation and for future reference. Listing words alphabetically in a vocabulary notebook has been a traditional way of organising this information. However, paper-based notes are limited in terms of space (learners often run out of space for certain categories; for others the space might be unused) and time (handwritten pages deteriorate over time and cannot easily be updated). Organizing vocabulary in more meaningful categories might make it easier to learn. Textbooks, for example, often introduce new vocabulary thematically. Words can also be organised according to their grammatical class or characteristics, their real world category (e.g. modes of transport, means of communication), their phonological pattern, their etymological elements, or according to when/where they were learnt. This research experiments how the mobile learning of a lexical spreadsheet can be used for the consolidation of and reference to new vocabulary. Offering the learner multiple ways of organising vocabulary at the same time – combining all of the approaches mentioned above, the resource can easily be modified and updated. Importantly, in keeping with autonomous learning theory, the spreadsheet is designed to encourage learners to take more responsibility for their own vocabulary learning and to approach this process more systematically. The resource can be used from any mobile smart phone, tablet or i-Pad.

Original languageEnglish
Title of host publicationComputer-Assisted Language Learning
Subtitle of host publicationConcepts, Methodologies, Tools, and Applications: Volume 1-4
PublisherIGI Global
Pages1383-1395
Number of pages13
Volume3
ISBN (Electronic)9781522576648
ISBN (Print)9781522576631
DOIs
Publication statusPublished - 1 Jan 2019

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