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Perceived support in e-collaborative learning: an exploratory study which make use of synchronous and asynchronous online-teaching approaches
University of Agder.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2012 (English)In: Advances in Web-Based Learning - ICWL2012: 11th International Conference, Sinaia, Romania, September 2-4, 2012. Proceedings E / [ed] Elvira Popescu; Qing Li; Ralf Klamma; Howard Leung; Marcus Specht, Heidelberg: Encyclopedia of Global Archaeology/Springer Verlag, 2012, 11-20 p.Conference paper (Refereed)
Abstract [en]

This study compares four different learning environments for e-collaborative learning in two European countries related to the dimension of student’s mutual support. The theoretical baseline is Vygotsky’s zone of proximal development (ZOPD) and the socio-genetic approach of Piaget. The analyzed data are based on questionnaires collected over the time period of an entire semester including four different courses at the master’s level. These courses applied different e-collaborative approaches including a variety of tools for supporting communication. It is assumed that these courses including communication tools e.g. virtual face-to-face meetings enhance the chances for better communication, and finally, for mutual support of students themselves. The objective is to investigate how the different environments have affected the students’ perception related to different e-collaborative learning platforms in the dimensions of social support, information exchange, and task support.

Place, publisher, year, edition, pages
Heidelberg: Encyclopedia of Global Archaeology/Springer Verlag, 2012. 11-20 p.
Lecture Notes in Computer Science, ISSN 0302-9743 ; 7558
Keyword [en]
e-collaborative learning, mutual support, blended learning, Statistics, computer and systems science - Informatics, computer and systems science
Keyword [sv]
Statistik, data- och systemvetenskap - Informatik, data- och systemvetenskap
Research subject
Computer and Systems Science
URN: urn:nbn:se:ltu:diva-39351DOI: 10.1007/978-3-642-33642-3_2Local ID: e0c2a224-7e56-4bd2-9323-bee7b2734349ISBN: 978-3-642-33641-6 (print)ISBN: 978-3-642-33642-3 (electronic)OAI: diva2:1012862
Advances in Web Based Learning : 02/09/2012 - 04/09/2012
Validerad; 2012; 20120903 (terpai)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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