[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-600819-105":59,"doc-detail-600819-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","visualizing-the-critique-integrating-quantitative-reasoning-with-the-design-process","Visualizing the critique - Integrating quantitative reasoning with the design process","","Information in the “Big Data” era is often quantitative, making Quantitative Reasoning (QR) a core competency for everyday life and contemporary workforces. QR integrates arithmetic, statistics, visualizations, and models to analyze and interpret information. In graphic design education, QR supports effective information display. This case study introduces data analytics and visualization strategies into a design critique through an anonymous survey assignment, enabling students to build visualizations, learn evaluation criteria, and provide focused, actionable feedback.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/visualizing-the-critique-integrating-quantitative-reasoning-with-the-design-process/600819/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/visualizing-the-critique-integrating-quantitative-reasoning-with-the-design-process/600819.png","ImageObject",300,407,{"name":92,"@type":93},"dhado","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":19},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is Quantitative Reasoning (QR) and why is it important in graphic design education?","Question",{"text":112,"@type":113},"QR is the ability to integrate arithmetic, statistics, visualizations, and models to analyze and interpret quantitative information. In graphic design, these competencies help students create effective visual displays of information.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the assignment modify the traditional design critique process?",{"text":117,"@type":113},"In the undergraduate Information Design course, the usual verbal group critique was replaced with an anonymous survey for the final critique of a midterm project. Survey data were compiled per student project, stripped of identifiers, and shared with instructions to create visualizations.",{"name":119,"@type":110,"acceptedAnswer":120},"What learning outcomes does the case study claim the visualizations support?",{"text":121,"@type":113},"The assignment clarifies success criteria for projects and delivers focused feedback. The resulting visualizations can act as assessment tools that help identify learning gaps for individual students or the whole class.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},600819,1792230282,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},5909893218464,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Visualizing the critique: Integrating quantitative reasoning with the design process  \nKathryn Weinstein, Queens College, CUNY, USA  \nAbstract  \nIn the age of “Big Data,” information is often quantitative in nature. The ability to analyze information through the sifting of data has been identified as a core competency for success in navigating daily life and participation in the contemporary workforce. This skill, known as Quantitative Reasoning (QR), is characterized by the ability to integrate arithmetic, statistics, visualizations and models for the analysis and interpretation of information. For students of graphic design, QR competencies are essential for the design of effective visual displays of information.  \nThis case study provides design educators with an assignment that introduces data analytics and visualization strategies to the design critique. The study describes how, in two sections of an undergraduate Information Design course, the traditional delivery of feedback through verbal dialogue was replaced with an anonymous survey. Responses were collated, stripped of identifiers, and distributed to the class with directions to create data visualizations of the critique. Students employed various mapping strategies in their visualizations and successful projects demonstrate acquisition of skills related to the analysis and interpretation of data.  \nAdditionally, the assignment clarifies the criteria of success of design assignments and delivers focused feedback on student work.  \nKeywords  \nQuantitative Reasoning; information design; graphic design; pedagogy; data visualization; design critique; feedback; assessment.  \nIntroduction  \nAll (students) should be able to use simple math tools to reason—to understand, interpret, critique, debunk, challenge, explicate, and draw conclusions. In short, college graduates should be able to evaluate the crush of quantitative data modern life throws at all literate citizens. (Simpson, 1999, p. 2)  \nThis paper presents a case study of a modified critique process that was introduced in an Information Design course (Fall 2013 and Spring 2015) taught in an undergraduate graphic design program. For the final critique of a midterm project, an anonymous survey replaced the traditional verbal group critique. Data from the surveys were collated into sets for each student project, stripped of identifiers and distributed to the class with instructions to create data visualizations of  \nthe survey results. Visualizing the Critique is an assignment that design educators can utilize to facilitate student understanding of Quantitative Reasoning (QR) though the collection, analysis, and visualization of data.  \nAdditionally, the survey assignment elucidates information about the criteria for success of a particular project and documents the evaluation process, activities that may be lost or glossed over the traditional verbal critique, and integrates student feedback into the design process. The resulting visualizations have the potential to serve as student-designed assessment tools, providing teacher and student a means to quickly identify learning gaps for an individual student or those encountered by the entire class.  \nBackground  \nResearch has documented a widespread quantitative literacy gap throughout the United States (Kutner, Mark et al., 2007), resulting in leading educational associations and policy-makers identifying QR as a primary learning outcome for 21st century undergraduate education (Association of American Colleges and Universities, 2007; Elrod, 2014) . Quantitative Reasoning, also referred to as Quantitative Literacy or Quantitative Fluency, is characterized by the ability to integrate arithmetic, statistics, visualizations and models (formulas, graphs, tables and schematics) in the analysis and interpretation of quantitative information (Mathematics Association of America, 2015) .  \nQuantification, a process that requires conceptualization and reconceptualization in rela","cbCaivoRmrxbDHw6","https://ap.wps.com/l/cbCaivoRmrxbDHw6","pdf",1367914,17,"English","# Introduction\n# Background\n# Context","[{\"question\":\"What is Quantitative Reasoning (QR) and why is it important in graphic design education?\",\"answer\":\"QR is the ability to integrate arithmetic, statistics, visualizations, and models to analyze and interpret quantitative information. In graphic design, these competencies help students create effective visual displays of information.\"},{\"question\":\"How does the assignment modify the traditional design critique process?\",\"answer\":\"In the undergraduate Information Design course, the usual verbal group critique was replaced with an anonymous survey for the final critique of a midterm project. Survey data were compiled per student project, stripped of identifiers, and shared with instructions to create visualizations.\"},{\"question\":\"What learning outcomes does the case study claim the visualizations support?\",\"answer\":\"The assignment clarifies success criteria for projects and delivers focused feedback. The resulting visualizations can act as assessment tools that help identify learning gaps for individual students or the whole class.\"}]","Visualizing the critique - Integrating quantitative reasoning with the design process | PDF",1792091442,43]