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Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia
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Wikis as a Technology Fostering Knowledge Maturing - What we can learn from Wikipedia

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I-KNOW 2007 (part of Triple-I 2007), Graz, September 5, 2007, Special Track on Integrating Working and Learning

I-KNOW 2007 (part of Triple-I 2007), Graz, September 5, 2007, Special Track on Integrating Working and Learning

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  • 1. Simone Braun Andreas Schmidt Wikis as a Technology Fostering Knowledge Maturing: What we can learn from Wikipedia FZI Research Center for Information Technologies Dept. Information Process Engineering Karlsruhe, GERMANY {braun|aschmidt}@fzi.de http://www.fzi.de/ipe © FZI Research Center for Information Technologies Karlsruhe, Germany | Information Process Engineering | www.fzi.de/ipe 1
  • 2. Outline Overview of Knowledge Maturing theory Goals of study Qualitative study Quantitative study Transferability to enterprise context Conclusions FZI Research for Information Technologies | Information Process Engineering | www.fzi.de/ipe 2
  • 3. Motivation New paradigm of work-integrated learning • learning and working are interwoven • beyond one-way training • learning is an active and creative process The Knowledge Maturing theory views individual learning processes as interlinked • at the heart: co-creation of artefacts 3
  • 4. Knowledge Maturing Process Criteria (from Maier & Schmidt 2007) • teachability • legitimation & commitment • explicit linkage/implicit contextualization • hardness 4
  • 5. One Vision: Maturity Awareness Workplace learning support by recommending learning opportunities in the form of microcontent Appropriateness can be decided based on competencies and maturity level from: Schmidt (2007): Microlearning and the knowledge 5 maturing process, Microlearning 2007
  • 6. The Study 6
  • 7. Goals of our study Knowledge Maturing theory so far is based only on anecdotal evidence Why Wikipedia • largest social experiment related to knowledge maturing where we have all the data (artefacts, history) Hypotheses qualitative study • knowledge maturing actually takes place in wikis (including criteria from Maier & Schmidt 2007 make sense) • socio-technical wiki systems have brought forth instruments overcoming barriers in the maturing processes Hypotheses quantitative study • criteria like teachability, and explicit linkage increase along the maturing process • maturity of articles can be measured in an automated way 7
  • 8. Qualitative Study (1) Artefact Layer (= wiki pages) • predicates representing the legitimation by the Wikipedia community o good article (“lesenswert”), featured article (“exzellente Artikel”), but also “stub” and “needs review” • definitions for the level of quality • candidate lists implementing a limited and very loose form of transition workflow o also encouraging maturing Knowledge Layer • use of categories to organize articles • links among articles that are not directly tied to the occurrence of the article name • disambiguation pages. => contribute to improving the decontextualization process 8
  • 9. Qualitative Study (2) Social Layer • “Wikiquette” • discussion pages • changes are visible in a global as well as in a local change log • user identity, watchlists • limit of activities by technical means (edit wars, write-protected articles) 9
  • 10. Quantitative Study Basis: German Wikipedia, full XML dump with history (Jan 24, 2007) Operationalization of criteria • teachability: readability score, structuredness (words per headline etc.), images • linkage: (unique) link count, (unique) link per words Two types of study • snapshot study: o all articles at a certain point in time o significant differences among different maturity levels • longitudinal study o article history over their lifetime, estricted to featured and excellent articles o developments of criteria over time 10
  • 11. Snapshot study Stub Normal Good Featured 19852 28763 612 343 #articles 43 (4) 60 1196 (753) 5386 (4580) 6689 (5952) 3561 #words p. article 1359 3428 35 (41) 32 50 (53) 35 55 (55) 7 54 (54) 6 readability p. article 0 (0) 1 7 (5) 8 21 (18) 13 24 (22) 14 #headlines p. art. 0 (0) 0 2 (0) 6 8 (6) 10 11 (8) 13 #images p. article 105 (96) 50 198 (157) 198 391 (229) 880 438 (249) 883 #words p. headline 132 (138) 747 (493) 827 1289 (722) 1897 1181 (647) 1633 #words p. image 45 6 (1) 9 75 (55) 71 212 (170) 144 240 (213) 137 272 #(unique) 6 (1) 9 82 (58) 87 238 (188) 171 (233) 169 internal links 5 (3) 5 16 (13) 17 29 (21) 25 31 (24) 26 #words p. int. link link density (%) 31 (33) 16 9 (8) 4 5 (5) 2 4 (4) 2 (mean (median) σ) 11
  • 12. Longitudinal Study (1) 12
  • 13. Longitudinal Study (2) 13
  • 14. Longitudinal Study (3) 14
  • 15. Transferability and Conclusions 15
  • 16. Wikipedia vs. Enterprise Wikis Wikipedia Enterprise wikis Size of large numbers limited to (parts of) the organization community Goal general public persistence and exchange of encyclopaedia experiences Type of rather mature knowledge immature knowledge (mostly (at least ad-hoc training) distribution in communities and knowledge formalization, up to ad-hoc-training) Maturing artefact level (knowledge knowledge level (artefacts are is considered to be considered to be facilitating the focus sufficiently mature) collaboration and exchange) Motivation idealism and work process needs, professional identification with esteem, organizational goals Wikipedia goals, quest for social esteem 16
  • 17. Conclusions Knowledge maturing theory confirmed by qualitative and quantitative study • several instruments at artefact, knowledge and social level identified Quantitative study confirmed criteria on average • but: high standard deviation => no automated computation of maturity Limited transferability to enterprise wikis • but problem of automation becomes even harder (less homogeneous) • additional problem: maturing on knowledge layer Future steps: • explore additional information like creation/usage context • large-scale empirical study (together with University of Innsbruck) in enterprise context 17
  • 18. Contact Upcoming FP7 Integrating Project: http://www.im-wissensnetz.de Andreas Schmidt Department Manager FZI Research Center for Information Technologies Information Process Engineering http://mature-ip.eu Andreas.Schmidt@fzi.de http://andreas.schmidt.name FZI Research for Information Technologies | Information Process Engineering | www.fzi.de/ipe 18

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