• English
    • Norsk
  • English 
    • English
    • Norsk
  • Administration
View Item 
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for informatikk
  • Institutt for informatikk
  • View Item
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for informatikk
  • Institutt for informatikk
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Towards the Sigma Online Learning Model for crowdsourced recommendations of good web-based learning resources

Aaberg, Robin Garen
Master thesis
View/Open
The file is restricted (More info)
thesis.pdf (79.33Kb)
Year
2016
Permanent link
http://urn.nb.no/URN:NBN:no-56532

Metadata
Show metadata
Appears in the following Collection
  • Institutt for informatikk [3643]
Abstract
The web based learning resources is believed to be playing an active role in the learning environment of higher education today. This qualitative study is exploring how students at Bergen University College incorporate web-based learning resources in their learning activities. At the core of this research is the problem of retrieving good web-resources after their first discovery. Usefull and knowledge granting web-resources are discovered within a context of topics, objectives. It is here argued that this knowledge of the surrondings of the resource is valuable to keep. Not only the resource itself but also the relations the resource have to the surronding topics it was initially discovered within. The result from the study is a partial proposal of a online learning model for a new learning platform fascilitating use and sharing of Web Based learning resources in Bergen University College. Visual Concept maps are good tools to show relationships between topics. By organizing learning resources visually in a concept map, a bigger understanding can be achieved by the student. By constructing shared mindmaps, students can mediate their knowledge within their community on common topics.
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy
 

 

For students / employeesSubmit master thesisAccess to restricted material

Browse

All of DUOCommunities & CollectionsBy Issue DateAuthorsTitlesThis CollectionBy Issue DateAuthorsTitles

For library staff

Login
RSS Feeds
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy