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Modified Unified Theory of Acceptance and Use of Technology in Investigating Iranian Language Learners’ Attitudes Toward Mobile Assisted Language Learning (MALL)
Author(s) -
Rajab Esfandiari,
Fatemeh Sokhanvar
Publication year - 2015
Publication title -
interdisciplinary journal of virtual learning in medical sciences
Language(s) - English
Resource type - Journals
eISSN - 2476-7271
pISSN - 2476-7263
DOI - 10.5812/ijvlms.12010
Subject(s) - descriptive statistics , likert scale , ibm , unified theory of acceptance and use of technology , psychology , expectancy theory , mathematics education , mobile device , language acquisition , computer science , qualitative property , scale (ratio) , social psychology , statistics , mathematics , developmental psychology , world wide web , materials science , physics , quantum mechanics , machine learning , nanotechnology
The modified unified theory of acceptance and use of technology (MUTAUT) was used in this mixed methods study to investigate language learners’ attitudes toward mobile assisted language learning (MALL). Methods Two different student surveys were used to collect data quantitatively. The surveys consisted of 24 and 23 items, respectively, rated on a 6-point Likert scale. Reliability was estimated to be 0.92 and 0.95, respectively. To collect data qualitatively, language learners were interviewed regarding their opinions on MALL. Standard multiple regression and descriptive statistics employing IBM SPSS version 21 were used to analyze the data. Results Analysis of quantitative data revealed that performance expectancy, effort expectancy, and perceived playfulness were significant predictors of the behavioral intention to use mobile devices, while self-management of learning and social influence were not (P < 0.001). Analysis of descriptive statistics from the second survey showed that language learners have totally positive attitudes toward effectiveness and satisfaction; however, their attitudes about usefulness were somewhat mixed. Analysis of qualitative data generally confirmed the quantitative results. Conclusions Language instructors should motivate students to use mobile devices to learn, become more autonomous language learners, and manage their own learning.

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