Chinese undergraduate students' perceptions of mobile learning: Conceptions, learning profiles, and approaches

Xiao Fan Lin, Cailing Deng, Qintai Hu, Chin Chung Tsai

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Close links between students' conceptions of and approaches to learning were established in the past research. However, only a few quantitative studies investigated this relationship particularly with regard to mobile learning (m-learning). The correlation between learners' conceptions and approaches to m-learning was analysed using a partial least squares analysis applied to data obtained from a sample of 971 undergraduate students in China. The results indicated that students' conceptions of m-learning could be classified into reproductive, transitional, and constructive levels. Students may hold multiple m-learning applications than a predominant one; hence, examining m-learning as one monolithic entity may provide limited information. Latent profile analysis identified four learning profiles based on students' preferred m-learning applications: passive, mixed, surface-supportive, and high-engagement. Moreover, a general trend was observed, whereby students with reproductive and surface-supportive learning profiles showed a tendency to adopt surface approaches, whereas those expressing constructive and mixed learning profiles were more inclined to adopt deep approaches. Interestingly, students with transitional conceptions and high-engagement learning profiles tended to take both surface and deep approaches.

Original languageEnglish
Pages (from-to)317-333
Number of pages17
JournalJournal of Computer Assisted Learning
Volume35
Issue number3
DOIs
Publication statusPublished - 2019 Jun

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Keywords

  • approaches to m-learning
  • conceptions of m-learning
  • latent profile analysis
  • mobile learning profiles
  • partial least squares analysis

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

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