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Technology, Knowledge and Learning


These emerging systems aim to provide learning experiences delivered via online environments as well as mobile devices and tailored to the educational needs, the personal characteristics and the particular circumstances of the individual learner or a (massive) group of interconnected learners. Such diverse learning experiences in real-world and virtual situations generates big data which provides rich potential for in-depth intelligent analysis and adaptive feedback as well as scaffolds whenever the learner needs it.

Journal Home:  Journal Homepage
Editor-in-Chief:  Dirk Ifenthaler

Technology, Knowledge and Learning emphasizes the increased interest on context-aware adaptive and personalized digital learning environments. Rapid technological developments have led to new research challenges focusing on digital learning, gamification, automated assessment and learning analytics.

Print ISSN:

Print ISSN:  22111662,

Electronic ISSN:  22111670

Abstracting and Indexing:  Scopus
Imapct Factor :  
Subject Area and Category:  Computer Science,Computational Theory and Mathematics,Computer Science Applications,Human-Computer Interaction Engineering,Engineering (miscellaneous),Mathematics,Mathematics (miscellaneous),Theoretical Computer Science,Social Sciences,Education
Publication Frequency:  
H Index:  20
Best Quartile:

Q1:  Theoretical Computer Science




Journal Home:  Journal Homepage
Cite Score:  4.0
SNIP:  1.709
Journal Rank(SJR):  0.969
Publisher & Country:

Publisher:  Springer Science and Business Media

Country:  United States