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  1. Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001) 0.18 
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    Abstract
    What is the difference between Piaget's constructivism and Papert's "constructionism"? Beyond the mere play on the words, I think the distinction holds, and that integrating both views can enrich our understanding of how people learn and grow. Piaget's constructivism offers a window into what children are interested in, and able to achieve, at different stages of their development. The theory describes how children's ways of doing and thinking evolve over time, and under which circumstance children are more likely to let go of-or hold onto- their currently held views. Piaget suggests that children have very good reasons not to abandon their worldviews just because someone else, be it an expert, tells them they're wrong. Papert's constructionism, in contrast, focuses more on the art of learning, or 'learning to learn', and on the significance of making things in learning. Papert is interested in how learners engage in a conversation with [their own or other people's] artifacts, and how these conversations boost self-directed learning, and ultimately facilitate the construction of new knowledge. He stresses the importance of tools, media, and context in human development. Integrating both perspectives illuminates the processes by which individuals come to make sense of their experience, gradually optimizing their interactions with the world.
    Content
    Vgl.: https://www.semanticscholar.org/paper/Piaget-%E2%80%99-s-Constructivism-%2C-Papert-%E2%80%99-s-%3A-What-%E2%80%99-s-Ackermann/89cbcc1e740a4591443ff4765a6ae8df0fdf5554. Darunter weitere Hinweise auf verwandte Beiträge. Auch unter: Learning Group Publication 5(2001) no.3, S.438.
    Type
    a
  2. Shen, R.; Wang, J.; Fox, E.A.: ¬A Lightweight Protocol between Digital Libraries and Visualization Systems (2002) 0.17 
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:15:14
    Type
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  3. Salton, G.; Voorhees, E.; Fox, E.A.: ¬A comparison of two methods for Boolean query relevance feedback (1984) 0.09 
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  4. Fox, C.; Levitin, A.; Redman, T.C.: Data and data quality (1996) 0.09 
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  5. Salton, G.; Fox, E.: Extended Boolean information retrieval (1983) 0.09 
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  6. Fox, E.A.; Koll, M.B.: Practical enhanced Boolean retrieval : experiences with the SMART and SIRE systems (1988) 0.09 
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  7. Salton, G.; Fox, E.A.; Voorhees, E.: Advanced feedback methods in information retrieval (1985) 0.09 
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  8. Fox, E.A.; Chen, Q.F.; France, R.K.: Integrating search and retrieval with hypertext (1991) 0.09 
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  9. Fox, E.A.: Lexical relations : enhancing effectiveness of information retrieval systems (1980) 0.09 
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  10. Fox, R.: Cataloging our information architecture (2004) 0.09 
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  11. Gödert, W.; Hubrich, J.; Boteram, F.: Thematische Recherche und Interoperabilität : Wege zur Optimierung des Zugriffs auf heterogen erschlossene Dokumente (2009) 0.09 
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    Source
    https://opus4.kobv.de/opus4-bib-info/frontdoor/index/index/searchtype/authorsearch/author/%22Hubrich%2C+Jessica%22/docId/703/start/0/rows/20
    Type
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  12. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.08 
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    Abstract
    Document representations for text classification are typically based on the classical Bag-Of-Words paradigm. This approach comes with deficiencies that motivate the integration of features on a higher semantic level than single words. In this paper we propose an enhancement of the classical document representation through concepts extracted from background knowledge. Boosting is used for actual classification. Experimental evaluations on two well known text corpora support our approach through consistent improvement of the results.
    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
    Type
    a
  13. Sandberg-Fox, A.: Principal changes in the ISBD(ER) (1999) 0.08 
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  14. Marchionini, G.; Fox, E.A.: Progress toward Digital Libraries : augmentation through integration (1999) 0.08 
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  15. Alexandre Hannud Abdo, A.H. => Hannud Abdo, A.: 0.08 
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    Date
    7. 6.2022 19:22:19
  16. Martínez-Ávila, D.; Chaves Guimarães, J.A.; Pinho, F.A.; Fox, M.J.: ¬The representation of ethics and knowledge organization in the WoS and LISTA databases (2015) 0.08 
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    Abstract
    A naïve user seeking introductory information on a topic may perceive a domain as it is shown by the search results in a database; however, inconsistencies in indexing can misrepresent the full picture of the domain by including irrelevant documents or omitting relevant ones, sometimes inexplicably. A bibliometric analysis was conducted on the domain of ethics in knowledge organization in the World of Science (WoS) and Library, Information Science & Technology Abstracts (LISTA) databases to discern how it is being presented by search results in those databases and to attempt to determine why inconsistencies occurred.
    Date
    17. 2.2018 16:50:22
    Type
    a
  17. Fan, W.; Fox, E.A.; Pathak, P.; Wu, H.: ¬The effects of fitness functions an genetic programming-based ranking discovery for Web search (2004) 0.07 
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    Abstract
    Genetic-based evolutionary learning algorithms, such as genetic algorithms (GAs) and genetic programming (GP), have been applied to information retrieval (IR) since the 1980s. Recently, GP has been applied to a new IR taskdiscovery of ranking functions for Web search-and has achieved very promising results. However, in our prior research, only one fitness function has been used for GP-based learning. It is unclear how other fitness functions may affect ranking function discovery for Web search, especially since it is weIl known that choosing a proper fitness function is very important for the effectiveness and efficiency of evolutionary algorithms. In this article, we report our experience in contrasting different fitness function designs an GP-based learning using a very large Web corpus. Our results indicate that the design of fitness functions is instrumental in performance improvement. We also give recommendations an the design of fitness functions for genetic-based information retrieval experiments.
    Date
    31. 5.2004 19:22:06
    Type
    a
  18. Fox, M.J.: Medical discourse's epistemic influence on gender classification in three editions of the Dewey Decimal Classification (2014) 0.07 
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    Abstract
    The first (1876), second (1885), and seventeenth (1965) editions of the Dewey Decimal Classification each represent a major change in the way sex and gender are classified. The intention in this paper is to determine how closely the changes in the DDC correspond to shifts in medical thought regarding sex and gender classification. The metanarrative underpinning gender classification in American intersexuality medical discourse is illuminated using Foucault's genealogical discourse analysis to determine a selection of epistemic considerations including teleology, authority/subjectivity, rhetorical space, necessary and sufficient conditions. The same criteria are used to examine the DDC's internal discourse to detect if similar epistemic shifts are at play or not and if a detectable influence can be identified.
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
    Type
    a
  19. Diederichs, A.: Wissensmanagement ist Macht : Effektiv und kostenbewußt arbeiten im Informationszeitalter (2005) 0.07 
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    Date
    22. 2.2005 9:16:22
    Type
    a
  20. Jascó, P.: Searching for images by similarity online (1998) 0.07 
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    Date
    29.11.2004 13:03:22
    Source
    Online. 22(1998) no.6, S.99-102
    Type
    a

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