Blended Learning : Lessons Learned and Ways Forward (eBook)

16th International Conference on Blended Learning, ICBL 2023, Hong Kong, China, July 17-20, 2023, Proceedings
Artikelnummer: 978-3-031-35731-2
Einband: PDF
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This book constitutes the refereed proceedings of the 16th International Conference on Blended Learning, ICBL 2023, held in Hong Kong, China, on July 17-20, 2023.

The 24 papers presented in this volume were carefully reviewed and selected from 57 submissions.

The papers are organized in topical sections named: smart classroom and digital literacy; online and distant learning; content and pedagogy development for blended learning; gamification and lnteractive learning snvironment; learning analytics and big data in education.

This book constitutes the refereed proceedings of the 16th International Conference on Blended Learning, ICBL 2023, held in Hong Kong, China, on July 17-20, 2023.

The 24 papers presented in this volume were carefully reviewed and selected from 57 submissions.

The papers are organized in topical sections named: smart classroom and digital literacy; online and distant learning; content and pedagogy development for blended learning; gamification and lnteractive learning snvironment; learning analytics and big data in education.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2023
Seitenangabe286 S.
AusgabekennzeichenEnglisch
AbbildungenXV, 286 p. 68 illus., 44 illus. in color.
Masse10'393 KB
PlattformPDF
ReiheLecture Notes in Computer Science; Computer Science; Computer Science ; Springer Nature Proceedings Computer Science
AutorLi, Chen (Hrsg.) / Cheung, Simon K. S. (Hrsg.) / Wang, Fu Lee (Hrsg.) / Lu, Angel (Hrsg.) / Kwok, Lam For (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Computer Science; Computer Science; Computer Science (R0); Springer Nature Proceedings Computer Science"

Weitere Titel von Chen (Hrsg.) Li

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