Sandbox University: Estimating Influence of Institutional Action
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{"title"=>"Sandbox university: Estimating influence of institutional action", "type"=>"journal", "authors"=>[{"first_name"=>"Jonas", "last_name"=>"Forsman", "scopus_author_id"=>"8337629900"}, {"first_name"=>"Richard P.", "last_name"=>"Mann", "scopus_author_id"=>"35248716800"}, {"first_name"=>"Cedric", "last_name"=>"Linder", "scopus_author_id"=>"55322315500"}, {"first_name"=>"Maartje", "last_name"=>"Van Den Bogaard", "scopus_author_id"=>"35932633500"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "isbn"=>"1932-6203", "pmid"=>"25054313", "scopus"=>"2-s2.0-84904641114", "doi"=>"10.1371/journal.pone.0103261", "sgr"=>"84904641114", "pui"=>"373596147"}, "id"=>"4ef10973-8b47-3613-8f70-3cfcfd4424e2", "abstract"=>"The approach presented in this article represents a generalizable and adaptable methodology for identifying complex interactions in educational systems and for investigating how manipulation of these systems may affect educational outcomes of interest. Multilayer Minimum Spanning Tree and Monte-Carlo methods are used. A virtual Sandbox University is created in order to facilitate effective identification of successful and stable initiatives within higher education, which can affect students' credits and student retention - something that has been lacking up until now. The results highlight the importance of teacher feedback and teacher-student rapport, which is congruent with current educational findings, illustrating the methodology's potential to provide a new basis for further empirical studies of issues in higher education from a complex systems perspective.", "link"=>"http://www.mendeley.com/research/sandbox-university-estimating-influence-institutional-action", "reader_count"=>17, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>2, "Other"=>2, "Student > Master"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>2, "Other"=>2, "Student > Master"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Mathematics"=>1, "Medicine and Dentistry"=>1, "Physics and Astronomy"=>1, "Psychology"=>3, "Social Sciences"=>7, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Social Sciences"=>{"Social Sciences"=>7}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>3}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>3}}, "reader_count_by_country"=>{"Netherlands"=>1, "Sweden"=>1, "Ireland"=>1}, "group_count"=>4}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1606950"], "description"=>"<p>Note: The number beside each group of aspects indicates how many aspects are measured in each grouping, and the abbreviation after indicates what those are in the <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103261#pone.0103261.s001\" target=\"_blank\">Appendix S1</a>.</p><p>*See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103261#pone.0103261.s001\" target=\"_blank\">Appendix S1</a>: item B_Ment_profile for more information.</p>", "links"=>[], "tags"=>["Systems science", "Complex systems", "mathematics", "Applied mathematics", "Science education", "Sociology", "education", "schools", "universities", "groups"], "article_id"=>1115977, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas Forsman", "Richard P. Mann", "Cedric Linder", "Maartje van den Bogaard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103261.t001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Three_groups_of_critical_aspects_/1115977", "title"=>"Three groups of critical aspects.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-07-23 04:59:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1606948"], "description"=>"<p>Black nodes are the constant nodes, blue are the First-order grouped nodes and grey are the Second-order grouped nodes, the red node is the target node for the proposed changes to institutional practice. The widths of the edges indicate the strength of the estimated links, and the colour represents positive (grey) and negative (red) relationships.</p>", "links"=>[], "tags"=>["Systems science", "Complex systems", "mathematics", "Applied mathematics", "Science education", "Sociology", "education", "schools", "universities"], "article_id"=>1115975, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas Forsman", "Richard P. Mann", "Cedric Linder", "Maartje van den Bogaard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103261.g005", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Visualization_of_estimated_interrelationships_/1115975", "title"=>"Visualization of estimated interrelationships.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-07-23 04:59:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1606949"], "description"=>"<p>Shows that the uncertainty tends to be slightly higher if the estimated influence of a particular aspect is higher.</p>", "links"=>[], "tags"=>["Systems science", "Complex systems", "mathematics", "Applied mathematics", "Science education", "Sociology", "education", "schools", "universities", "tends", "higher"], "article_id"=>1115976, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas Forsman", "Richard P. Mann", "Cedric Linder", "Maartje van den Bogaard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103261.g006", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Shows_that_the_uncertainty_tends_to_be_slightly_higher_if_the_estimated_influence_of_a_particular_aspect_is_higher_/1115976", "title"=>"Shows that the uncertainty tends to be slightly higher if the estimated influence of a particular aspect is higher.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-07-23 04:59:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1606947"], "description"=>"<p>Convergence of the Gibbs sampling for estimation of the standard deviation.</p>", "links"=>[], "tags"=>["Systems science", "Complex systems", "mathematics", "Applied mathematics", "Science education", "Sociology", "education", "schools", "universities", "gibbs", "sampling", "estimation"], "article_id"=>1115974, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas Forsman", "Richard P. Mann", "Cedric Linder", "Maartje van den Bogaard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103261.g004", "stats"=>{"downloads"=>3, "page_views"=>27, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Convergence_of_the_Gibbs_sampling_for_estimation_of_the_standard_deviation_/1115974", "title"=>"Convergence of the Gibbs sampling for estimation of the standard deviation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-07-23 04:59:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1606944"], "description"=>"<p>The magenta node is where effect of changes is sought. The black nodes are nodes which are held constant. The blue and grey nodes represent First- and Second-order nodes as per the grouping in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103261#pone-0103261-t002\" target=\"_blank\">Table 2</a>.The red nodes are the target which is to be estimated.</p>", "links"=>[], "tags"=>["Systems science", "Complex systems", "mathematics", "Applied mathematics", "Science education", "Sociology", "education", "schools", "universities"], "article_id"=>1115971, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas Forsman", "Richard P. Mann", "Cedric Linder", "Maartje van den Bogaard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103261.g001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Workflow_of_the_proposed_methodology_/1115971", "title"=>"Workflow of the proposed methodology.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-07-23 04:59:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1606952", "https://ndownloader.figshare.com/files/1606953"], "description"=>"<div><p>The approach presented in this article represents a generalizable and adaptable methodology for identifying complex interactions in educational systems and for investigating how manipulation of these systems may affect educational outcomes of interest. Multilayer Minimum Spanning Tree and Monte-Carlo methods are used. A virtual Sandbox University is created in order to facilitate effective identification of successful and stable initiatives within higher education, which can affect students' credits and student retention – something that has been lacking up until now. The results highlight the importance of teacher feedback and teacher-student rapport, which is congruent with current educational findings, illustrating the methodology's potential to provide a new basis for further empirical studies of issues in higher education from a complex systems perspective.</p></div>", "links"=>[], "tags"=>["Systems science", "Complex systems", "mathematics", "Applied mathematics", "Science education", "Sociology", "education", "schools", "universities", "estimating"], "article_id"=>1115979, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas Forsman", "Richard P. Mann", "Cedric Linder", "Maartje van den Bogaard"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0103261.s001", "https://dx.doi.org/10.1371/journal.pone.0103261.s002"], "stats"=>{"downloads"=>7, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sandbox_University_Estimating_Influence_of_Institutional_Action_/1115979", "title"=>"Sandbox University: Estimating Influence of Institutional Action", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-07-23 04:59:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1606951"], "description"=>"<p>Note: Only aspects where effect sizes which have a >5% mean positive estimated effect on students' credits achieved are shown. The number before the First-order aspect provides a visual link to the variables in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103261#pone.0103261.s001\" target=\"_blank\">Appendix S1</a> and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103261#pone-0103261-g005\" target=\"_blank\">Figure 5</a>.</p><p>*Highly unstable.</p>", "links"=>[], "tags"=>["Systems science", "Complex systems", "mathematics", "Applied mathematics", "Science education", "Sociology", "education", "schools", "universities", "gibbs"], "article_id"=>1115978, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas Forsman", "Richard P. Mann", "Cedric Linder", "Maartje van den Bogaard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103261.t002", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_from_the_Gibbs_Sampling_/1115978", "title"=>"Results from the Gibbs Sampling.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-07-23 04:59:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1606946"], "description"=>"<p>Convergence of the Gibbs sampling for the estimation of the numerical changes.</p>", "links"=>[], "tags"=>["Systems science", "Complex systems", "mathematics", "Applied mathematics", "Science education", "Sociology", "education", "schools", "universities", "gibbs", "sampling", "estimation", "numerical"], "article_id"=>1115973, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas Forsman", "Richard P. Mann", "Cedric Linder", "Maartje van den Bogaard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103261.g003", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Convergence_of_the_Gibbs_sampling_for_the_estimation_of_the_numerical_changes_/1115973", "title"=>"Convergence of the Gibbs sampling for the estimation of the numerical changes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-07-23 04:59:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1606945"], "description"=>"<p>Convergence of MMST creation.</p>", "links"=>[], "tags"=>["Systems science", "Complex systems", "mathematics", "Applied mathematics", "Science education", "Sociology", "education", "schools", "universities", "mmst"], "article_id"=>1115972, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jonas Forsman", "Richard P. Mann", "Cedric Linder", "Maartje van den Bogaard"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0103261.g002", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Convergence_of_MMST_creation_/1115972", "title"=>"Convergence of MMST creation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-07-23 04:59:21"}

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Relative Metric

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