Measuring mobile learning readiness: scale development and validation

Hsin Hui Lin, Shinjeng Lin, Ching Hsuan Yeh, Yi-Shun Wang

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

Purpose – Based on the literature on technology readiness, online learning readiness, and mobile computer anxiety, the purpose of this paper is to develop and validate a mobile learning readiness (MLR) scale which can be used to assess individuals’ readiness to embrace m-learning systems. Design/methodology/approach – Based on previous literature, this study conceptualizes the construct of MLR and generates an initial 55-item MLR scale. A total of 319 responses are collected from a three-month internet-based survey. Based on the sample data, this study provides an empirical validation of the MLR construct and its underlying dimensionality, and develops a generic MLR scale with desirable psychometric properties, including reliability, content validity, criterion-related validity, convergent validity, discriminant validity, and nomological validity. Findings – This study develops and validates a 19-item MLR scale with three dimensions (i.e. m-learning self-efficacy, optimism, and self-directed learning). A tentative norm of the MLR scale is presented, and the scale’s theoretical and practical applications are also discussed. Originality/value – This study is a pioneering effort to develop and validate a MLR scale. The results of this study are helpful to researchers in building m-learning theories and to educators in assessing and promoting individuals’ acceptance of m-learning systems.

Original languageEnglish
Pages (from-to)265-287
Number of pages23
JournalInternet Research
Volume26
Issue number1
DOIs
Publication statusPublished - 2016 Feb 1

All Science Journal Classification (ASJC) codes

  • Communication
  • Sociology and Political Science
  • Economics and Econometrics

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