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IJIET 2020 Vol.10(1): 67-73 ISSN: 2010-3689
doi: 10.18178/ijiet.2020.10.1.1341

Perceptions and Experiences of Mobile-Assisted Language Learning for IELTS Preparation: A Case Study of Indonesian Learners

Soulaya Lestary

Abstract—This qualitative case study investigated Indonesian English as Foreign Language (EFL) learners’ perceptions and experiences of IELTS m-learning preparation. It aimed to explore the learners’ perceived advantages and challenges of IELTS m-learning, self-directed m-learning strategies, and the extent to which m-learning supports their IELTS preparation. Data collected through interviews were analyzed following the Framework for the Rational Analysis of Mobile Education (FRAME). The findings revealed that there are some correlations between the advantages and the challenges of IELTS mobile learning adoption. This study also found that the learners’ learning strategies for IELTS preparation were mostly related to motivation in which it drove them to expand some efforts towards their IELTS practices. IELTS mobile learning was also found to have supported their learning experience to a great extent.

Index Terms—The FRAME model, IELTS, MALL, self-regulated learning.

Soulaya Lestary is with the University of Bristol, UK (e-mail: soulayalestary@gmail.com).


Cite: Soulaya Lestary, "Perceptions and Experiences of Mobile-Assisted Language Learning for IELTS Preparation: A Case Study of Indonesian Learners," International Journal of Information and Education Technology vol. 10, no. 1, pp. 67-73, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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