lnu.sePublications
Change search
Refine search result
1 - 2 of 2
CiteExportLink to result list
Permanent 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
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Zimmer, Björn
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Guided Interaction and Collaborative Exploration in Heterogeneous Network Visualizations2019Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The visual exploration of large and complex network structures remains a challenge for many application fields, such as systems biology or social sciences. Often, various domain experts would like to work together to improve the analysis time or the quality of the analysis results. Collaborative visualization tools can facilitate the analysis process in such situations. Moreover, a growing number of real world networks are multivariate and often interconnected with each other. Entities in a network may have relationships with elements of other related data sets, which do not necessarily have to be networks themselves, and these relationships may be defined by attributes that can vary greatly. A challenge is to correctly assign the attributes and relations between different data sets and graphs in order to be able to analyze them visually afterwards. The navigation between the resulting visualizations is also difficult. How can users be guided to other interesting data points relevant to their current view and how can this information be additionally displayed in a graph without losing the overview of the data?

    In this dissertation, we propose our new web-based visualization environment OnGraX, which supports distributed, synchronous and asynchronous collaboration of networks and related multivariate data sets. In addition to standard collaboration features like event tracking or synchronizing, our client/server-based system provides a rich set of visualization and interaction techniques for better navigation and overview of the input network. Changes made by specific analysts or even just visited network elements can be highlighted by heat maps, which enable us to visualize user behavior data without affecting the original graph visualization. We evaluate the usability of the heat map approach against two alternatives in a user experiment.

    Additional features of OnGraX include a comprehensive visual analytics approach that supports researchers to specify and subsequently explore attribute-based relationships across networks, text documents, and derived secondary data. Our approach provides an individual search functionality based on keywords and semantically similar terms over an entire text corpus to find related network nodes. For examining these nodes in the interconnected network views, we introduce a new interaction technique, called Hub2Go, which facilitates the navigation by guiding the user to the information of interest. To showcase these features, we use a large text corpus collected from papers listed in the IEEE VIS publications data set (1990--2015) that consists of 2,752 documents. We analyze relationships between various heterogeneous networks, a Bag-of-Words index, and a word similarity matrix, all derived from the initial corpus and metadata. We also propose a design for the interactive specification of degree-of-interest functions, which can be used to provide and evaluate configurations for guidance based on network attributes and logged user data in heterogeneous networks.

  • 2.
    Ståhlkrantz, Katarina
    Linnaeus University, Faculty of Social Sciences, Department of Pedagogy and Learning.
    Rektors pedagogiska ledarskap: en kritisk policyanalys2019Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The pedagogical leadership is regarded as the most significant of the principal ́s duties. Because there is no clear definition of pedagogical leadership as a concept, it may be difficult for the principal to know how to practice it. Various versions of the concept’s meaning are currently circulating, in turn offering different norms to relate to and act upon. This doctoral thesis takes its point of departure from the policy proposal of a Rektorslyft in the Swedish national budget of 2011, as a solution to the problem that principals were not considered to be good enough pedagogical leaders. The study is designed as a critical policy analysis, with a curriculum theory framework and a critical interpretative perspective. The critical approach is directing focus towards the steering of the school. Further, a poststructuralist perspective adds a discursive approach to the study. The empirical material consists of a selection of official education policy documents, mainly governmental official reports. The aim of the study is to examine and analyse how the pedagogical leader is discursively constructed in official education government documents, what changes and stabilities can be distinguished in these discursive constructions over time and how these can be understood and explained. Bacchi ́s WPR-method and Foucault ́s genealogy is used as a methodological framework for the text analysis. The result shows six discursive breakpoints in the construction of the pedagogical leader from the 1950s to 2010s. These breakpoints have a close relationship to changes in school steering. Principals’ pedagogical leadership can therefore be regarded as a policy to legitimise new steering reforms. The result further indicates that principals from the 1950s to 2010s were given a clearer personal responsibility within the pedagogical leadership. The changes identified through the critical policy analysis can be explained by the context and policy streams. The text analysis also indicated stabilities in the discursive construction of the pedagogical leader. These stabilities can be explained by traditions and school structures. Hopefully, this study has contributed to a better and deepened understanding of principals’ pedagogical leadership, as well as have given the concept an empirical and theoretical basis.

1 - 2 of 2
CiteExportLink to result list
Permanent 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