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A bibliometric analysis of mobile learning in the education sector

Farheen Khan, Yuvika Gupta

2021Interactive Technology and Smart Education32 citationsDOI

Abstract

Purpose This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate effective learning experiences for students. Design/methodology/approach This study reviews student-centric literature on m-learning since 2010 and presents insights on m-learning while applying well-established bibliometric techniques. Consequently, 722 articles published in the past decade were evaluated by identifying key research areas, most influential authors, countries, journals and organisations. Most influential studies based on number of citations were also examined. Findings Through article co-citation analysis, four clusters representing m-learning literature were identified: concept of m-learning, application of m-learning in education, designing framework for model learning/acceptance and emerging technologies. Originality/value As mobile learning (m-learning) has undergone an evolution from being an emerging field to a significant teaching and research tool, it is pertinent to explore and identify the trends of m-learning research.

Topics & Concepts

Learning sciencesEducational technologyOriginalityExperiential learningComputer scienceHigher educationM-learningKnowledge managementField (mathematics)Mobile deviceData scienceMathematics educationSociologyPsychologyWorld Wide WebSocial scienceQualitative researchPolitical scienceLawMathematicsPure mathematicsMobile Learning in EducationICT in Developing CommunitiesEducation and Digital Technologies
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