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  4. Knowing what Learners Like – Developing a Cultural Sensitive Peer Assessment Process in MOOCs
 
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Knowing what Learners Like – Developing a Cultural Sensitive Peer Assessment Process in MOOCs

Journal
Multikonferenz Wirtschaftsinformatik (MKWI)
Type
conference paper
Date Issued
2018-03-06
Author(s)
Buholzer, Fabienne
Rietsche, Roman  
Söllner, Matthias  
Abstract (De)
MOOCs attract learners from various cultural backgrounds with differing educational beliefs and learning preferences. Research has long acknowledged that culture has an impact on the adoption and use of information technology. Cultural differences can cause conflicts, especially when learners provide each other with feedback during the peer assessment process. With this paper, we use a design science approach to create a cultural sensitive peer assessment process in MOOCs. Based on Hofstede’s cultural dimension theory we derive design elements and evaluate them in a qualitative and comparative study with Swiss and Chinese students. Our results show that different cultures prefer different designs. Consequently, our key contribution is the practical elaboration of design elements, which can be integrated in MOOCs to provide a better learning experience. Further, we contribute to cross-cultural theory by using an existing framework and adapting it to a new and relevant phenomenon: MOOCs.
Language
English
Keywords
Massive Open Online Courses
design science research
culture sensitive peer assessment procedure
Hofstede’s cultural dimension theory
feedback
HSG Classification
contribution to education
HSG Profile Area
SoM - Business Innovation
Event Title
Multikonferenz Wirtschaftsinformatik (MKWI)
Event Location
Lüneburg, Germany
Event Date
06.03.2018-09.03.2018
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/100674
Subject(s)

information managemen...

education

Division(s)

IWI - Institute of In...

Eprints ID
253133
File(s)
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Thumbnail Image

open.access

Name

JML_682.pdf

Size

165.97 KB

Format

Adobe PDF

Checksum (MD5)

d5ba7b00637eae68a2745c80f20f3c3a

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