An extensible framework for automatic knowledge extraction from student blogs

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aut.relation.endpage18
aut.relation.issue2
aut.relation.startpage9
aut.relation.volume3
aut.researcherConnor, Andrew Miles
dc.contributor.authorConnor, AM
dc.contributor.authorMartin, M
dc.contributor.authorJoe, S
dc.date.accessioned2014-08-04T01:53:23Z
dc.date.available2014-08-04T01:53:23Z
dc.date.copyright2014-06-19
dc.date.issued2014-06-19
dc.description.abstractThis article introduces a framework for automatically extracting knowledge from student blogs and injecting it into a shared resource, namely a Wiki. This is motivated by the need to preserve knowledge generated by students beyond their time of study. The framework is described in the context of the Bachelor of Creative Technologies degree at the Auckland University of Technology in New Zealand where it is being deployed alongside an existing blogging and ePortfolio process. The framework uses an extensible, layered architecture that allows for incremental development of components in the system to enhance the functionality over time. The current implementation is in beta-testing and uses simple heuristics in the core components. This article presents a road map for extending the functionality to improve the quality of knowledge extraction by introducing techniques from the artificial intelligence field.
dc.identifier.citationInternational Journal on Integrating Technology in Education, vol.3(2), pp.9 - 18
dc.identifier.doi10.5121/ijite.2014.3202
dc.identifier.urihttps://hdl.handle.net/10292/7539
dc.publisherAIRCC Publishing Corporation
dc.relation.urihttp://airccse.org/journal/ijite/current2014.html
dc.rightsAIRCC Publishing Corporation is an emerging peer-reviewed, academic open access publisher which strictly focuses in all areas of Computer Science and Engineering.
dc.rights.accessrightsOpenAccess
dc.subjectBlogging
dc.subjectWikis
dc.subjectKnowledge extraction
dc.subjectEnhanced learning
dc.titleAn extensible framework for automatic knowledge extraction from student blogs
dc.typeJournal Article
pubs.elements-id168313
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/PVC - Learning & Teaching
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