Exploring Learner Perception, Experience and Motivation of Using a Mobile App in L2 Vocabulary Acquisition

Lucas Kohnke
Additional contact information
Lucas Kohnke: The Hong Kong Polytechnic University, Hung Hom, Hong Kong

International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 2020, vol. 10, issue 1, 15-26

Abstract: In recent years, the widespread growth of mobile-assisted language learning using apps has made English vocabulary learning increasingly accessible. This study investigated students' perceptions of a vocabulary learning app developed by the researcher as a tool to help them to improve their L2 receptive vocabulary. The app, containing 20 levels, works with both iOS and Android. The participants were 14 undergraduate students at an English-medium university in Hong Kong. A qualitative methodology of semi-structured interviews captured a holistic overview and revealed students' perceptions of the app. The results suggested that Hong Kong university students have a strong motivation for acquiring an L2 vocabulary. Participants also indicated a preference for mobile applications using gamified features. The study highlights directions for future research into apps for English language learning.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 8/IJCALLT.2020010102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jcallt:v:10:y:2020:i:1:p:15-26

Access Statistics for this article

International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT) is currently edited by Bin Zou

More articles in International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().