Ulrike Cress

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Ulrike Cress is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Explaining authors' contribution to pivotal artifacts during mass collaboration in the Wikipedia's knowledge base Artifact
Mass collaboration
Network analysis
Wikipedia
International Journal of Computer-Supported Collaborative Learning English 2014 This article discusses the relevance of large-scale mass collaboration for computer-supported collaborative learning (CSCL) research, adhering to a theoretical perspective that views collective knowledge both as substance and as participatory activity. In an empirical study using the German Wikipedia as a data source, we explored collective knowledge as manifested in the structure of artifacts that were created through the collaborative activity of authors with different levels of contribution experience. Wikipedia's interconnected articles were considered at the macro level as a network and analyzed using a network analysis approach. The focus of this investigation was the relation between the authors' experience and their contribution to two types of articles: central pivotal articles within the artifact network of a single knowledge domain and boundary-crossing pivotal articles within the artifact network of two adjacent knowledge domains. Both types of pivotal articles were identified by measuring the network position of artifacts based on network analysis indices of topological centrality. The results showed that authors with specialized contribution experience in one domain predominantly contributed to central pivotal articles within that domain. Authors with generalized contribution experience in two domains predominantly contributed to boundary-crossing pivotal articles between the knowledge domains. Moreover, article experience (i.e., the number of articles in both domains an author had contributed to) was positively related to the contribution to both types of pivotal articles, regardless of whether an author had specialized or generalized domain experience. We discuss the implications of our findings for future studies in the field of CSCL. © 2013 International Society of the Learning Sciences, Inc. and Springer Science+Business Media New York. 0 0
Collaborative knowledge building with wikis: The impact of redundancy and polarity Cooperative/collaborative learning
Interactive learning environments
Teaching/learning strategies
Comput. Educ. English 2012 0 0
Divergent and convergent knowledge processes on wikipedia Connecting Computer-Supported Collaborative Learning to Policy and Practice: CSCL 2011 Conf. Proc. - Short Papers and Posters, 9th International Computer-Supported Collaborative Learning Conf. English 2011 The paper presents a new theoretical consideration of knowledge processes bridging the individual and the collective level. Building on a differentiation between accommodation and assimilation of knowledge in wikis, we derive divergence and convergence from intelligence and creativity research and reconstruct their impact on the open-ended development of knowledge. The distinction from related CSCL constructs is elaborated. Using examples from Wikipedia, the definition of divergence and convergence is illustrated in the dynamic context of article development. 0 0
Using wikis for learning and knowledge building: Results of an experimental study Experiment
Knowledge building
Learning
Wiki
Educational Technology and Society English 2011 Computer-supported learning and knowledge building play an increasing role in online collaboration. This paper outlines some theories concerning the interplay between individual processes of learning and collaborative processes of knowledge building. In particular, it describes the co-evolution model that attempts to examine processes of learning and knowledge building by working on wikis. We report an experimental study that aimed at testing some predictions of this model empirically. The results support the assumption that accommodative knowledge building and a development of conceptual knowledge takes place particularly when there is incongruity at a medium level between people's knowledge and the information contained in a digital artefact. In contrast, assimilative knowledge building and the development of factual knowledge depends largely on people's prior knowledge. Concluding, the consequences of these findings on educational uses of wikis are discussed. 0 0
VISUALIZING CO-EVOLUTION OF INDIVIDUAL AND COLLECTIVE KNOWLEDGE Information, Communication \& Society 2010 This paper describes how processes of knowledge building with wikis may be visualized, citing the user-generated online encyclopedia Wikipedia as an example. The underlying theoretical basis is a framework for collaborative knowledge building with wikis that describes knowledge building as a co-evolution of individual and collective knowledge. These co-evolutionary processes may be visualized graphically, applying methods from social network analysis, especially those methods that take dynamic changes into account. For this purpose, we have undertaken to analyse, on the one hand, the temporal development of a Wikipedia article and related articles that are linked to this core article. On the other hand, we analysed the temporal development of those users who worked on these articles. The resulting graphics show an analogous process, both with regard to the articles that refer to the core article and to the users involved. These results provide empirical support for the co-evolution model. 0 0
Visualizing co-evolution of individual and collective knowledge Co-evolution
Collective knowledge
Knowledge building
Visualisation
Wiki
Information Communication and Society English 2010 This paper describes how processes of knowledge building with wikis may be visualized, citing the user-generated online encyclopedia Wikipedia as an example. The underlying theoretical basis is a framework for collaborative knowledge building with wikis that describes knowledge building as a co-evolution of individual and collective knowledge. These co-evolutionary processes may be visualized graphically, applying methods from social network analysis, especially those methods that take dynamic changes into account. For this purpose, we have undertaken to analyse, on the one hand, the temporal development of a Wikipedia article and related articles that are linked to this core article. On the other hand, we analysed the temporal development of those users who worked on these articles. The resulting graphics show an analogous process, both with regard to the articles that refer to the core article and to the users involved. These results provide empirical support for the co-evolution model. 0 0
Who integrates the networks of knowledge in Wikipedia? WikiSym English 2010 In the study presented in this article we investigated two related knowledge domains, physiology and pharmacology, from the German version of Wikipedia. Applying the theory of knowledge building to this community, we studied the authors of integrative knowledge. Network analysis indices of betweenness and closeness centrality were calculated for the network of relevant articles. We compared the work of authors who wrote exclusively in one domain with that of authors who contributed to both domains. The position of double-domain authors for a knowledge building wiki community is outstanding. They are not only responsible for the integration of knowledge from a different background, but also for the composition of the single-knowledge domains. Predominantly they write articles which are integrative and central in the context of such domains. 17 1
Learning and knowledge building with social software Computer Supported Collaborative Learning Practices, CSCL 2009 Conference Proceedings - 9th International Conference English 2009 The progress of the Internet in recent years has led to the emergence of so-called social software. This technology concedes users a more active role in creating Web content. This has important effects both on individual learning and collaborative knowledge building. In this paper we will present an integrative framework model to describe and explain learning and knowledge building with social software on the basis of systems theoretical and equilibration theoretical considerations. This model assumes that knowledge progress emerges from cognitive conflicts that result from incongruities between an individual's prior knowledge and the information which is contained in a shared digital artifact. This paper will provide empirical support for the model by applying it to Wikipedia articles and by examining knowledge-building processes using network analyses. Finally, this paper will present a review of a series of experimental studies. 0 0
Understanding learning - The wiki way Co-evolution
Collective knowledge
Knowledge building
Wiki
WikiSym English 2009 Learning "the wiki way", learning through wikis is a form of self-regulated learning that is independent of formal learning settings and takes place in a community of knowledge. Such a community may work jointly on a digital artifact to create new, innovative and emergent knowledge. We regard wikis as a prototype of tools for community-based learning, and point out five relevant features. We will present the co-evolution model, as introduced by Cress and Kimmerle [3][4], that may be understood as a framework to describe learning in the wiki way. This model describes collaborative knowledge building as a co-evolution between cognitive and social systems. To investigate learning the wiki way, we have to consider both individual processes and processes within the wiki, which represent the processes that are going on within a community. This paper presents three empirical studies that investigate learning the wiki way in a laboratory setting. We take a look at participants' contributions to a wiki indicating processes within the wiki community, and measure the extent of individual learning at the end of the experiment. Our conclusion is that the model of co-evolution has a strong impact on understanding learning the wiki way, may be helpful to designers of learning environments, and serve as framework for further research. Copyright 0 0
Understanding learning: the Wiki way WikiSym English 2009 Learning "the wiki way", learning through wikis is a form of self-regulated learning that is independent of formal learning settings and takes place in a community of knowledge. Such a community may work jointly on a digital artifact to create new, innovative and emergent knowledge. We regard wikis as a prototype of tools for community-based learning, and point out five relevant features. We will present the co-evolution model, as introduced by Cress and Kimmerle [3][4], that may be understood as a framework to describe learning in the wiki way. This model describes collaborative knowledge building as a co-evolution between cognitive and social systems. To investigate learning the wiki way, we have to consider both individual processes and processes within the wiki, which represent the processes that are going on within a community. This paper presents three empirical studies that investigate learning the wiki way in a laboratory setting. We take a look at participants' contributions to a wiki indicating processes within the wiki community, and measure the extent of individual learning at the end of the experiment. Our conclusion is that the model of co-evolution has a strong impact on understanding learning the wiki way, may be helpful to designers of learning environments, and serve as framework for further research. 0 0
Wiki-supported learning and knowledge building: Effects of incongruity between knowledge and information Collaboration
Experiment
Knowledge building
Wiki
Journal of Computer Assisted Learning English 2009 This study describes the empirical test of a theoretical model of knowledge building with wikis that was recently introduced by Cress and Kimmerle. The underlying assumption of this model is that both learning (as an internal, individual process) and knowledge building (as the creation of public knowledge) are based on the interplay between an individual's knowledge and the information available in the wiki. Incongruity between individual knowledge and the information contained in the wiki will lead to learning (through the acquisition of factual and conceptual knowledge) and to knowledge building (through assimilation and accommodation). In three conditions, the experiment provided the participants with different levels of incongruity between their individual knowledge and information in the wiki by varying the amount of information that was contained in the wiki, while the amount of information that the participants possessed was kept constant. As predicted, the results confirmed that a medium level of incongruity between an individual's knowledge and the information that a wiki contains will best support learning. Moreover, a medium level of incongruity leads to more accommodative knowledge building despite the fact that high and medium levels of incongruity will result in similar amounts of assimilative knowledge building. The implications of these findings were discussed in the concluding remarks. 0 0
A systemic and cognitive view on collaborative knowledge building with wikis International Journal of Computer-Supported Collaborative Learning 2008 0 0
Learning and knowledge building with wikis: the impact of incongruity between people's knowledge and a wiki's information ICLS English 2008 0 0
Visualizing Wiki-Supported Knowledge Building: Co-Evolution of Individual and Collective Knowledge WikiSym English 2008 It is widely accepted that wikis are valuable tools for successful collaborative knowledge building. In this paper, we describe how processes of knowledge building with wikis may be visualized, citing Wikipedia as an example. The underlying theoretical basis of our paper is the framework for collaborative knowledge building with wikis, as introduced by Cress and Kimmerle. This model describes collaborative knowledge building as a co-evolution of individual and collective knowledge, or of cognitive and social systems respectively. These co-evolutionary processes may be visualized graphically, applying methods from social network analysis, especially those methods that take dynamic changes into account. For this purpose, we have undertaken to analyze, on the one hand, the temporal development of an article in the German version of Wikipedia and related articles that are linked to this core article. On the other hand, we analyzed the temporal development of those users who worked on these articles. The resulting graphics show an analogous process, both with regard to the articles that refer to the core article and to the users involved. These results provide empirical support for the co-evolution model. Some implications of our findings and the potential for future research on collaborative knowledge building with wikis and on the application of social network analysis are discussed at the end of the article. 0 3
Visualizing Wiki-supported knowledge building: Co-evolution of individual and collective knowledge Co-evolution
Collective knowledge
Knowledge building
Visualisation
Wiki
WikiSym 2008 - The 4th International Symposium on Wikis, Proceedings English 2008 It is widely accepted that wikis are valuable tools for successful collaborative knowledge building. In this paper, we describe how processes of knowledge building with wikis may be visualized, citing Wikipedia as an example. The underlying theoretical basis of our paper is the framework for collaborative knowledge building with wikis, as introduced by Cress and Kimmerle [2], [3], [4]. This model describes collaborative knowledge building as a co-evolution of individual and collective knowledge, or of cognitive and social systems respectively. These co-evolutionary processes may be visualized graphically, applying methods from social network analysis, especially those methods that take dynamic changes into account [5], [18]. For this purpose, we have undertaken to analyze, on the one hand, the temporal development of an article in the German version of Wikipedia and related articles that are linked to this core article. On the other hand, we analyzed the temporal development of those users who worked on these articles. The resulting graphics show an analogous process, both with regard to the articles that refer to the core article and to the users involved. These results provide empirical support for the co-evolution model. Some implications of our findings and the potential for future research on collaborative knowledge building with wikis and on the application of social network analysis are discussed at the end of the article. 0 3
A theoretical framework of collaborative knowledge building with wikis: a systemic and cognitive perspective CSCL English 2007 0 0