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Journal of Computer Assisted Learning - Wiley-Blackwell | 2021 Impact Factor:3.761|Cite Score:7.0|Q1

Journal of Computer Assisted Learning - Wiley-Blackwell - Impact Factor

Impact Factor and Journal Rank of Journal of Computer Assisted Learning

About:

The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers.

Journal Home:  Journal Homepage

Editor-in-Chief:  Paul A. Kirschner

scope: JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment.

Print ISSN:  02664909

Electronic ISSN:  13652729

Abstracting and Indexing:  Scopus Science Citation Index Expanded

Imapct Factor 2021:  3.761

Subject Area and Category:  Computer Science ,Computer Science Applications,Social Sciences,Education ,E-learning

Publication Frequency:  

H Index:  98

Best Quartile:

Q1:  E-learning

Q2:  

Q3:  

Q4:  

Cite Score:  7.0

SNIP:  1.964

Journal Rank(SJR):  1.491

Publisher:  Wiley-Blackwell Publishing Ltd

Country:  United Kingdom