Past, present, and future of smart learning: a topic-based bibliometric analysis

Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative technologies, especially smart devices and onl...

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Published inInternational Journal of Educational Technology in Higher Education Vol. 18; no. 1; pp. 1 - 29
Main Authors Chen, Xieling, Zou, Di, Xie, Haoran, Wang, Fu Lee
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 15.01.2021
BioMed Central, Ltd
Springer Nature B.V
SpringerOpen
Subjects
Ambient intelligence
Attendance
Bibliometrics
Blended Learning
Cloud computing
Computer Appl. in Social and Behavioral Sciences
Computer Science
Computers and Education
Content management systems
Course Content
Distance learning
Educational Research
Educational Technology
Electronic devices
Electronic Learning
Feedback (Response)
Higher Education
Humanities
Information Systems Applications (incl.Internet)
Information Technology
Internet of Things
Law
Learning Analytics
MOOCs
Multimedia
Multimedia Instruction
Online Courses
Online instruction
pedagogical and technological perspectives
Periodicals
Recognition
Research hotspots
Review Article
Semantics
Smart learning
Software engineering
Statistics for Social Sciences
STEM Education
Technical education
The future learning environment
Topic evolution
Topic modeling
Topic modeling
Topic evolution
Smart learning
Research hotspots
Online AccessGet full text

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Abstract Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative technologies, especially smart devices and online technologies. Smart learning has attracted increasing research interest from the academia. This study aims to comprehensively review the research field of smart learning by conducting a topic modeling analysis of 555 smart learning publications collected from the Scopus database. In particular, it seeks answers to (1) what the major research topics concerning smart learning were, and (2) how these topics evolved. Results demonstrate several major research issues, for example, Interactive and multimedia learning , STEM (science, technology, engineering, and mathematics) education , Attendance and attention recognition , Blended learning for smart learning , and Affective and biometric computing . Furthermore, several emerging topics were identified, for example, Smart learning analytics , Software engineering for e-learning systems , IoT (Internet of things) and cloud computing , and STEM education . Additionally, potential inter-topic directions were highlighted, for instance, Attendance and attention recognition and IoT and cloud computing , Semantics and ontology and Mobile learning , Feedback and assessment and MOOCs (massive open online courses) and course content management , as well as Blended learning for smart learning and Ecosystem and ambient intelligence .
AbstractList Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative technologies, especially smart devices and online technologies. Smart learning has attracted increasing research interest from the academia. This study aims to comprehensively review the research field of smart learning by conducting a topic modeling analysis of 555 smart learning publications collected from the Scopus database. In particular, it seeks answers to (1) what the major research topics concerning smart learning were, and (2) how these topics evolved. Results demonstrate several major research issues, for example, Interactive and multimedia learning , STEM (science, technology, engineering, and mathematics) education , Attendance and attention recognition , Blended learning for smart learning , and Affective and biometric computing . Furthermore, several emerging topics were identified, for example, Smart learning analytics , Software engineering for e-learning systems , IoT (Internet of things) and cloud computing , and STEM education . Additionally, potential inter-topic directions were highlighted, for instance, Attendance and attention recognition and IoT and cloud computing , Semantics and ontology and Mobile learning , Feedback and assessment and MOOCs (massive open online courses) and course content management , as well as Blended learning for smart learning and Ecosystem and ambient intelligence .
Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative technologies, especially smart devices and online technologies. Smart learning has attracted increasing research interest from the academia. This study aims to comprehensively review the research field of smart learning by conducting a topic modeling analysis of 555 smart learning publications collected from the Scopus database. In particular, it seeks answers to (1) what the major research topics concerning smart learning were, and (2) how these topics evolved. Results demonstrate several major research issues, for example, Interactive and multimedia learning, STEM (science, technology, engineering, and mathematics) education, Attendance and attention recognition, Blended learning for smart learning, and Affective and biometric computing. Furthermore, several emerging topics were identified, for example, Smart learning analytics, Software engineering for e-learning systems, IoT (Internet of things) and cloud computing, and STEM education. Additionally, potential inter-topic directions were highlighted, for instance, Attendance and attention recognition and IoT and cloud computing, Semantics and ontology and Mobile learning, Feedback and assessment and MOOCs (massive open online courses) and course content management, as well as Blended learning for smart learning and Ecosystem and ambient intelligence.
Abstract Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative technologies, especially smart devices and online technologies. Smart learning has attracted increasing research interest from the academia. This study aims to comprehensively review the research field of smart learning by conducting a topic modeling analysis of 555 smart learning publications collected from the Scopus database. In particular, it seeks answers to (1) what the major research topics concerning smart learning were, and (2) how these topics evolved. Results demonstrate several major research issues, for example, Interactive and multimedia learning, STEM (science, technology, engineering, and mathematics) education, Attendance and attention recognition, Blended learning for smart learning, and Affective and biometric computing. Furthermore, several emerging topics were identified, for example, Smart learning analytics, Software engineering for e-learning systems, IoT (Internet of things) and cloud computing, and STEM education. Additionally, potential inter-topic directions were highlighted, for instance, Attendance and attention recognition and IoT and cloud computing, Semantics and ontology and Mobile learning, Feedback and assessment and MOOCs (massive open online courses) and course content management, as well as Blended learning for smart learning and Ecosystem and ambient intelligence.
ArticleNumber 2
Author Zou, Di
Chen, Xieling
Xie, Haoran
Wang, Fu Lee
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Snippet Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies...
Abstract Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning...
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SubjectTerms Ambient intelligence
Attendance
Bibliometrics
Blended Learning
Cloud computing
Computer Appl. in Social and Behavioral Sciences
Computer Science
Computers and Education
Content management systems
Course Content
Distance learning
Educational Research
Educational Technology
Electronic devices
Electronic Learning
Feedback (Response)
Higher Education
Humanities
Information Systems Applications (incl.Internet)
Information Technology
Internet of Things
Law
Learning Analytics
MOOCs
Multimedia
Multimedia Instruction
Online Courses
Online instruction
pedagogical and technological perspectives
Periodicals
Recognition
Research hotspots
Review Article
Semantics
Smart learning
Software engineering
Statistics for Social Sciences
STEM Education
Technical education
The future learning environment
Topic evolution
Topic modeling
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Title Past, present, and future of smart learning: a topic-based bibliometric analysis
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Volume 18
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