Journal of Computer Assisted Learning Impact Factor in Computer Science

Journal of Computer Assisted Learning in Computer Science

Journal Country: United Kingdom
Journal Q tier: Q1
Publishing Firm: Wiley-Blackwell Publishing Ltd
History: 1985-2022
Journal Homepage: Not Available
Journal ISSN: 13652729, 02664909

Research Categories

Computer Science Applications (Q1); Education (Q1); E-learning (Q1)

Impact Score: 6.38
h-Index: 105
SJR: 1.629
Ranking: 1855

About Journal of Computer Assisted Learning

Aim and ScopeThe 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 between researchers and the practitioners and to foster collaborative research. It is a rich source of material for research students in areas such as collaborative learning, knowledge engineering, open, distance and networked learning, developmental psychology and evaluation. The research themes are treated in a way which will maximize their influence on developments and practice in education, vocational training and professional development.

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