Search (3 results, page 1 of 1)

  • × classification_ss:"TZM (HA)"
  1. Stahl, G.: Group cognition : computer support for building collaborative knowledge (2006) 0.03
    0.032608297 = product of:
      0.081520736 = sum of:
        0.03640697 = weight(_text_:business in 2391) [ClassicSimilarity], result of:
          0.03640697 = score(doc=2391,freq=2.0), product of:
            0.21714608 = queryWeight, product of:
              5.0583196 = idf(docFreq=763, maxDocs=44218)
              0.042928502 = queryNorm
            0.16766119 = fieldWeight in 2391, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.0583196 = idf(docFreq=763, maxDocs=44218)
              0.0234375 = fieldNorm(doc=2391)
        0.04511376 = weight(_text_:great in 2391) [ClassicSimilarity], result of:
          0.04511376 = score(doc=2391,freq=2.0), product of:
            0.24172091 = queryWeight, product of:
              5.6307793 = idf(docFreq=430, maxDocs=44218)
              0.042928502 = queryNorm
            0.18663573 = fieldWeight in 2391, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.6307793 = idf(docFreq=430, maxDocs=44218)
              0.0234375 = fieldNorm(doc=2391)
      0.4 = coord(2/5)
    
    Footnote
    Rez. in: JASIST 59(2008) no.9, S.1531. (C. Caldeira): "Successful, real-world organizations employ groups to get work done. Despite the large number of years of collaborative models in work-group paradigm, it is a little surprising that there are very few books about the subject. Furthermore, most of those studies are mainly focused on work group performance management and work productivity. This text belongs to the advanced type, and is a valuable resource for graduate students in a wide range of courses and for a large spectrum of professionals interested in collaborative work. Due to its advanced level, some topics are relatively difficult to understand if the reader does not have some background in collaborative work and group cognition. Students who use this book will rapidly understand the most important topics of the science of collaboration for computer-supported cooperative work and computer-supported collaborative learning, and their relation to the business world of our days. The main concern and fundamental idea of this book is to set its focus primarily on work group, and not on individuals. Stahl's baseline is to use the science of collaboration for computer-supported cooperative work and computer-supported collaborative learning to conduct comparative studies on group interaction, group meaning, group cognition, group discourse, and thinking. The book is divided into three distinct parts. The first one is about the design of computer support for collaborative work and presents eight studies centered on software tools and their particular applications: The first three are AI applications for collaborative computer-supported cooperative work and computer-supported collaborative learning, the fourth and the fifth are about collaborative media, and the last ones are a combination of computational technology and collaborative functions. The second part is focused on the analysis on knowledge building in the collaborative work of small groups. It is developed with support on five essays published by Stahl from 2000 to 2004. In the first of those chapters, he describes a model of collaborative knowledge building and how to share knowledge production. The second criticizes some cooperative work and collaborative learning research methodologies that make the collaborative phenomena hard to perceive. The remaining chapters mostly provide mechanisms to understand in new and better ways collaborative processes. The third part contains the theoretical corpus of the book. Chapters 14 through 21 contain the most recent of Stahl's contributions to the theoretical foundations of computer-supported cooperative work and computer-supported collaborative learning. Chapters 16 to 18 provide much material about topics directly related to group cognition research and collaborative work in modern organizations. Finally, the last part of the book contains an exhaustive list of references that will be of great value to all interested in the multiple aspects and fields of cooperative work and collaborative learning."
  2. Good tags - bad tags : Social Tagging in der Wissensorganisation (2008) 0.01
    0.0060678283 = product of:
      0.03033914 = sum of:
        0.03033914 = weight(_text_:business in 3054) [ClassicSimilarity], result of:
          0.03033914 = score(doc=3054,freq=2.0), product of:
            0.21714608 = queryWeight, product of:
              5.0583196 = idf(docFreq=763, maxDocs=44218)
              0.042928502 = queryNorm
            0.13971765 = fieldWeight in 3054, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.0583196 = idf(docFreq=763, maxDocs=44218)
              0.01953125 = fieldNorm(doc=3054)
      0.2 = coord(1/5)
    
    Content
    - Theoretische Ansätze und empirische Untersuchungen Stefanie Panke & Birgit Gaiser: "With my head up in the clouds" - Social Tagging aus Nutzersicht Christoph Held& Ulrike Cress: Social Tagging aus kognitionspsychologischer Sicht Michael Derntl, Thorsten Hampel, Renate Motschnig & Tomas Pitner: Social Tagging und Inclusive Universal Access - Einsatz von Tagging in Hochschulen und Bibliotheken Christian Hänger: Good tags or bad tags? Tagging im Kontext der bibliothekarischen Sacherschließung Mandy Schiefner: Social Tagging in der universitären Lehre Michael Blank, Thomas Bopp, Thorsten Hampel & Jonas Schulte: Social Tagging = Soziale Suche? Andreas Harrer & Steffen Lohmann: Potenziale von Tagging als partizipative Methode für Lehrportale und E-Learning-Kurse Harald Sack & Jörg Waitelonis: Zeitbezogene kollaborative Annotation zur Verbesserung der inhaltsbasierten Videosuche - Kommerzielle Anwendungen von Tagging Karl Tschetschonig, Roland Ladengruber, Thorsten Hampel & Jonas Schulte: Kollaborative Tagging-Systeme im Electronic Commerce Tilman Küchler, Jan M. Pawlowski & Volker Zimmermann: Social Tagging and Open Content: A Concept for the Future of E-Learning and Knowledge Management? Stephan Schillenvein: Der .Business Case' für die Nutzung von Social Tagging in Intranets und internen Informationssystemen
  3. Thissen, F.: Screen-Design-Manual : Communicating Effectively Through Multimedia (2003) 0.00
    0.0029081097 = product of:
      0.014540548 = sum of:
        0.014540548 = product of:
          0.029081097 = sum of:
            0.029081097 = weight(_text_:22 in 1397) [ClassicSimilarity], result of:
              0.029081097 = score(doc=1397,freq=2.0), product of:
                0.1503283 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042928502 = queryNorm
                0.19345059 = fieldWeight in 1397, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1397)
          0.5 = coord(1/2)
      0.2 = coord(1/5)
    
    Date
    22. 3.2008 14:29:25

Authors

Languages

Types