Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Research-in-progress: reframing a knowledge level framework
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-5506-9633
University of Agder.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-7477-0783
2012 (English)In: SIGMIS-CPR '12: Proceedings of the 50th annual conference on Computers and People Research, New York: Association for Computing Machinery (ACM), 2012, p. 31-34Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a research-in-progress study where we are revisiting a well known knowledge-level framework of understanding (i.e. knowledge) of a system proposed by Olfman et al. (2006). The catalyst for this relook was the anomalies and incongruencies that surfaced when we tried to apply this framework in another study whose aim was to examine how hermeneutic reflection helps in learning. While the framework proved a useful vehicle to carry out hermeneutic analysis, it also proved inadequate in accounting for some significant aspects of what constitutes understanding of a system. A closer look at the data revealed that other theoretical premises could not only provide a better interpretation but also that these premises can potentially enhance the knowledge level framework. We are currently reinterpreting the data using three interpretive lenses, namely, practice lens, socio-materiality and genres. Our goal is to reconceptualize what constitutes understanding or knowledge of a system and propose a revised knowledge level framework.

Place, publisher, year, edition, pages
New York: Association for Computing Machinery (ACM), 2012. p. 31-34
Keywords [en]
end user training, Statistics, computer and systems science - Informatics, computer and systems science
Keywords [sv]
Statistik, data- och systemvetenskap - Informatik, data- och systemvetenskap
National Category
Information Systems, Social aspects
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:ltu:diva-38784DOI: 10.1145/2214091.2214102Scopus ID: 2-s2.0-84863533924Local ID: d485f120-144f-496b-a168-8625c65acacbISBN: 978-1-4503-1110-6 (print)OAI: oai:DiVA.org:ltu-38784DiVA, id: diva2:1012285
Conference
Annual Conference on Computers and People Research : 31/05/2012 - 02/06/2012
Note
Godkänd; 2012; 20120617 (terpai)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopushttp://dl.acm.org/citation.cfm?id=2214091.2214102

Authority records BETA

Sein, MaungPäivärinta, Tero

Search in DiVA

By author/editor
Sein, MaungPäivärinta, Tero
By organisation
Computer Science
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf