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It defines a vision where data use becomes part of everyday teaching, and a pathway requiring teachers and administrators to demonstrate data literacy skills. The roadmap recommends a comprehensive set of 10 interoperable skills, from accessing and synthesizing multiple data sources to ethical, cyclical inquiry and communication with diverse stakeholders, supported by access to data systems, preservice integration, and ongoing professional development.",{"@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/roadmap-for-educator-licensure-policy-addressing-data-literacy-quality-implementation-roadmaps/289436/",{"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/roadmap-for-educator-licensure-policy-addressing-data-literacy-quality-implementation-roadmaps/289436.png","ImageObject",300,407,{"name":92,"@type":93},"Chloe Bennett","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-18","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why should data literacy be included in educator licensure policies?","Question",{"text":112,"@type":113},"Because states can ensure teachers are ready to use data effectively and ethically to improve student achievement. Licensing policy can require demonstration of data literacy skills to guide preparation programs and qualification.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What are the recommended key data literacy skills for licensure?",{"text":117,"@type":113},"The roadmap recommends focusing on 10 skills that work together: accessing and gathering data, synthesizing and analyzing diverse data, using multiple data types beyond assessments, understanding relationships among data, engaging in a cyclical inquiry process, and additional skills covering tailoring instruction, using personal performance data, facilitating student understanding, communicating with stakeholders, and using up-to-date data resources.",{"name":119,"@type":110,"acceptedAnswer":120},"How can states support teachers to use data effectively beyond policy language?",{"text":121,"@type":113},"States can ensure teacher access to state and local data systems, collaborate with teacher preparation programs to embed data literacy in preservice training, provide ongoing professional development on effective and ethical data use, and support principal data literacy to build a culture that sustains teacher data use.","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},289436,1789635229,{"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":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":34,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":143,"preview_page_count":4},962084925782,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","Roadmap for Educator Licensure Policy Addressing Data Literacy  \nKey Focus Areas to Ensure Quality  \nQUALITY IMPLEMENTATION ROADMAPS  \nWhere are we going?  \nData use should be integrated into teachers’ everyday practice as one tool for improving student achievement. To do this, teachers need to know how to use multiple types of data and how to translate data into decisions. To ensure that teachers are ready to use data effectively and ethically to improve student achievement, states can include data literacy skills requirements in their teacher licensure policies.  \nState licensure policies are meant to provide preparation programs direction about the skills that teachers  \nneed to be qualified to teach. States should make the demonstration of data literacy skills a requirement for becoming a licensed teacher.  \nHow do we get there?  \nThe ability to effectively use data includes a set of skills that teachers (and administrators) need to use data both collaboratively and individually to inform instruction. We recommend focusing on 10 key data literacy skills that can be embedded in a state’s licensure policy as a way to direct instruction in effective data use. * These 10 skills work best as a comprehensive menu, with all skills hanging together and building on one another.  \n Skill 1 Access and gather relevant data from available sources: Knowledge of and ability to access information from multiple available sources, including both state and local systems.  \n Skill 2 Synthesize and analyze diverse data: The ability to explore and organize many types of data.  \n Skill 3  Know about and use student-level and other types of data beyond assessment data: Understanding that multiple types of data beyond student assessmentscan be used to inform practice.  \n Skill 4 Understand how to use different types of data: The ability to know how different types of data are relevant to different problems or questions and the relationships among data from multiple sources.  \n Skill 5  Engage in a data-driven and cyclical inquiry process: The ability to engage in the ongoing process of identifying classroom and system problems, forming questions and hypotheses about each issue, collecting and analyzing relevant information and translating  \nthat information into action steps, and subsequently determining whether the action worked and repeating the process.  \n*A group of more than 20 organizations worked to develop these skills and other recommendations about data literacy. For more, see the report, Data Literacy: It’s About Time.  \nWhere are we coming from?  \nOn DQC’s Data for Action 2013 survey, 19 states reported having teacher licensure policies that included data literacy. A review of these 19 policies by independent researchers at WestEd found that seven states (FL, KY, NC, NH, TN, UT, VA) met the criteria for good implementation and six states (AR, DE, KS, NY, OH, SC) met the criteria for great implementation.  \nNUMBER OF STATES:  \n Great implementation  Good implementation  Total implementing  \nwork  \nQUALITY IMPLEMENTATION ROADMAPS ROADMAP FOR EDUCATOR LICENSURE POLICY ADDRESSING DATA LITERACY  \n Skill 6 Use data to tailor instruction to diverse groups of students: The ability to use data to inform practice with unique subgroups such as English language learners, students receiving special education services, students with low socioeconomic status, and other populations.  \n Skill 7 Use one’s own data: The ability to use one’s own performance data and other relevant data to assess and reflect on personal practice for the purpose of continuous improvement.  \n Skill 8  Facilitate student understanding of data: The ability to use data to communicate with students about their progress so that they can evaluate their own performance and set goals.  \n Skill 9 Communicate about data with diverse internal and external stakeholders: The ability to communicate about data with groups such as students, parents, educator peers, the community, school boa","cbCaifjo3IDtEtux","https://ap.wps.com/l/cbCaifjo3IDtEtux","pdf",138286,"English","# Where are we going?\n## Integrating data use into everyday practice\n# How do we get there?\n## Ten key data literacy skills\n## Skill 1-5\n## Skill 6-10\n# Where are we coming from?\n## DQC Data for Action 2013 survey results\n# How can states do this work?\n## Policy supports and professional development\n# One State’s Story\n## Arkansas approach to data literacy in licensure","[{\"question\":\"Why should data literacy be included in educator licensure policies?\",\"answer\":\"Because states can ensure teachers are ready to use data effectively and ethically to improve student achievement. Licensing policy can require demonstration of data literacy skills to guide preparation programs and qualification.\"},{\"question\":\"What are the recommended key data literacy skills for licensure?\",\"answer\":\"The roadmap recommends focusing on 10 skills that work together: accessing and gathering data, synthesizing and analyzing diverse data, using multiple data types beyond assessments, understanding relationships among data, engaging in a cyclical inquiry process, and additional skills covering tailoring instruction, using personal performance data, facilitating student understanding, communicating with stakeholders, and using up-to-date data resources.\"},{\"question\":\"How can states support teachers to use data effectively beyond policy language?\",\"answer\":\"States can ensure teacher access to state and local data systems, collaborate with teacher preparation programs to embed data literacy in preservice training, provide ongoing professional development on effective and ethical data use, and support principal data literacy to build a culture that sustains teacher data use.\"}]","Roadmap for Educator Licensure Policy Addressing Data Literacy - Quality Implementation Roadmaps | PDF",18]