{"id":398,"date":"2020-09-25T20:28:01","date_gmt":"2020-09-25T20:28:01","guid":{"rendered":"https:\/\/groups.cs.umass.edu\/hci-vis\/?p=398"},"modified":"2020-11-17T21:59:23","modified_gmt":"2020-11-17T21:59:23","slug":"blooms-taxonomy-for-evaluation","status":"publish","type":"post","link":"https:\/\/groups.cs.umass.edu\/hci-vis\/2020\/09\/25\/blooms-taxonomy-for-evaluation\/","title":{"rendered":"Bloom&#8217;s Taxonomy for Evaluation"},"content":{"rendered":"\n<div style=\"height:80px\" aria-hidden=\"true\" class=\"wp-block-spacer first-block\"><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-content\/uploads\/sites\/33\/2020\/09\/BELIV-8820_Burns_Image-1024x418.png\" alt=\"\" class=\"wp-image-400\" width=\"768\" height=\"314\" srcset=\"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-content\/uploads\/sites\/33\/2020\/09\/BELIV-8820_Burns_Image-1024x418.png 1024w, https:\/\/groups.cs.umass.edu\/hci-vis\/wp-content\/uploads\/sites\/33\/2020\/09\/BELIV-8820_Burns_Image-600x245.png 600w, https:\/\/groups.cs.umass.edu\/hci-vis\/wp-content\/uploads\/sites\/33\/2020\/09\/BELIV-8820_Burns_Image-768x313.png 768w, https:\/\/groups.cs.umass.edu\/hci-vis\/wp-content\/uploads\/sites\/33\/2020\/09\/BELIV-8820_Burns_Image-1536x626.png 1536w, https:\/\/groups.cs.umass.edu\/hci-vis\/wp-content\/uploads\/sites\/33\/2020\/09\/BELIV-8820_Burns_Image.png 1920w\" sizes=\"(max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/figure><\/div>\n\n\n\n<h2 class=\"has-very-dark-gray-color has-text-color top-heading wp-block-heading\">Bloom&#8217;s Taxonomy for Evaluation<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>Led by Alyx Burns<\/li><li>Related papers:<ul><li><a href=\"https:\/\/arxiv.org\/pdf\/2009.01747.pdf\">How to evaluate data visualizations across different levels of understanding<\/a><\/li><\/ul><\/li><li><a href=\"https:\/\/youtu.be\/yoQoNCQoL_k?t=988\" target=\"_blank\" rel=\"noreferrer noopener\">Video Presentation at BELIV<\/a><\/li><\/ul>\n\n\n\n<p>Understanding a visualization is a multi-level process. A reader must extract and extrapolate from numeric facts, understand how those facts apply to both the context of the data and other potential contexts, and draw or evaluate conclusions from the data. A well-designed visualization should support each of these levels of understanding. We diagnose levels of understanding of visualized data by adapting Bloom\u2019s taxonomy, a common framework from the education literature. We describe each level of the framework and provide examples for how it can be applied to evaluate the efficacy of data visualizations along six levels of knowledge acquisition &#8211; knowledge, comprehension, application, analysis, synthesis, and evaluation. We present three case studies showing that this framework expands on existing methods to comprehensively measure how a visualization design facilitates a viewer\u2019s understanding of visualizations. Although Bloom\u2019s original taxonomy suggests a strong hierarchical structure for some domains, we found few examples of dependent relationships between performance at different levels for our three case studies. If this level-independence holds across new tested visualizations, the taxonomy could serve to inspire more targeted evaluations of levels of understanding that are relevant to a communication goal.<br><br><strong>If you are interested in working on or learning more about this project, please contact Alyx Burns at alyxanderbur at umass dot edu.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bloom&#8217;s Taxonomy for Evaluation Led by Alyx Burns Related papers: How to evaluate data visualizations across different levels of understanding Video Presentation at BELIV Understanding a visualization is a multi-level process. A reader must extract and extrapolate from numeric facts, understand how those facts apply to both the context of the data and other potential &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/groups.cs.umass.edu\/hci-vis\/2020\/09\/25\/blooms-taxonomy-for-evaluation\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Bloom&#8217;s Taxonomy for Evaluation&#8221;<\/span><\/a><\/p>\n","protected":false},"author":52,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","footnotes":""},"categories":[3],"tags":[],"class_list":["post-398","post","type-post","status-publish","format-standard","hentry","category-projects"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"twentyseventeen-featured-image":false,"twentyseventeen-thumbnail-avatar":false},"uagb_author_info":{"display_name":"alyxanderbur","author_link":"https:\/\/groups.cs.umass.edu\/hci-vis\/author\/alyxanderbur\/"},"uagb_comment_info":0,"uagb_excerpt":"Bloom&#8217;s Taxonomy for Evaluation Led by Alyx Burns Related papers: How to evaluate data visualizations across different levels of understanding Video Presentation at BELIV Understanding a visualization is a multi-level process. A reader must extract and extrapolate from numeric facts, understand how those facts apply to both the context of the data and other potential&hellip;","_links":{"self":[{"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/posts\/398","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/users\/52"}],"replies":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/comments?post=398"}],"version-history":[{"count":5,"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/posts\/398\/revisions"}],"predecessor-version":[{"id":570,"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/posts\/398\/revisions\/570"}],"wp:attachment":[{"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/media?parent=398"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/categories?post=398"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/hci-vis\/wp-json\/wp\/v2\/tags?post=398"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}