Academic Journal

Mobile learning and humanistic education: a science mapping approach.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Mobile learning and humanistic education: a science mapping approach.
Συγγραφείς: Koon, Vui-Yee
Πηγή: Interactive Learning Environments; Dec2023, Vol. 31 Issue 10, p7122-7139, 18p
Θεματικοί όροι: Mobile learning, Educational technology, Structural equation modeling, Humanistic education, Humanities
Περίληψη: Scientific research on mobile learning and its implications on humanistic education has grown tremendously. Within the context of an overview of its forerunners (i.e. educational technology) and critical characteristics concerning the humanistic perspective in education, bibliometric findings on mobile learning publications in humanistic education are explained. Between 2000 and 2021, the phrase mobile learning was given attention in education databases through bibliometric analysis of 766 peer-reviewed works on mobile learning in humanistic education. This study takes a novel analytical approach, classifying the most significant authors, publications, and journals into seven theme clusters: pedagogy, learning approach, learning tools, support, real-time learning, technology acceptance, and self-directed learning. This bibliometric analysis uses four metrics: citation analysis, co-citation analysis, bibliographic coupling, and co-occurrences of keywords. The most significant contributions are addressed in each cluster. Current knowledge gaps, promising future research fields, and directions are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Interactive Learning Environments is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Mobile learning and humanistic education: a science mapping approach.
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  Data: Interactive Learning Environments; Dec2023, Vol. 31 Issue 10, p7122-7139, 18p
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  Data: <searchLink fieldCode="DE" term="%22Mobile+learning%22">Mobile learning</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Humanistic+education%22">Humanistic education</searchLink><br /><searchLink fieldCode="DE" term="%22Humanities%22">Humanities</searchLink>
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  Data: Scientific research on mobile learning and its implications on humanistic education has grown tremendously. Within the context of an overview of its forerunners (i.e. educational technology) and critical characteristics concerning the humanistic perspective in education, bibliometric findings on mobile learning publications in humanistic education are explained. Between 2000 and 2021, the phrase mobile learning was given attention in education databases through bibliometric analysis of 766 peer-reviewed works on mobile learning in humanistic education. This study takes a novel analytical approach, classifying the most significant authors, publications, and journals into seven theme clusters: pedagogy, learning approach, learning tools, support, real-time learning, technology acceptance, and self-directed learning. This bibliometric analysis uses four metrics: citation analysis, co-citation analysis, bibliographic coupling, and co-occurrences of keywords. The most significant contributions are addressed in each cluster. Current knowledge gaps, promising future research fields, and directions are discussed. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Interactive Learning Environments is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2023
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