Data-informed decision-making: Difference between revisions

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'''Data-informed decision-making''' ('''DIDM)''') refers to the [[data collection|collection]] and [[data analysis|analysis]] of [[data]] to guide [[decision-making|decisions]] thatand improve chances of success.<ref name="ED504191">U.S. Department of Education Office of Planning, Evaluation and Policy Development (2009). ''Implementing data-informed decision making in schools: Teacher access, supports and use.'' United States Department of Education (ERIC Document Reproduction Service No. ED504191)</ref> Another form of this process is referred to as data-driven decision-making, "which is defined similarly as making decisions based on hard data as opposed to intuition, observation, or guesswork."<ref>{{Cite web |date=2019-12-02 |title=Data-Driven Decision Making: 5 Essentials |url=https://onlinemasters.ohio.edu/blog/data-driven-decision-making/ |access-date=2022-02-28 |website=Ohio University |language=en-US}}</ref> DIDM is used daily in [[education]] communities, (where data is used with the goal of helping students) but is also[[student]]s applicable to (and thusimproving alsocurricula, used in)among other fields in which data is used to inform decisions. While '''"data-driven based decision-making'''" is a more common term, "''data-informed'' decision-making''" is athe preferablepreferred term, since decisions should not be based solely on [[quantitative data]].<ref name="ED504191"/><ref>Knapp, M. S., Swinnerton, J. A., Copland, M. A., & Monpas-Hubar, J. (2006). ''Data-informed leadership in education.'' Seattle, WA: Center for the Study of Teaching and Policy.</ref><ref>U.S. DepartmentData-driven ofdecision-making Educationis Officecommonly used in the context of Planning,business Evaluationgrowth and Policyentrepreneurship.<ref>{{Cite Developmentweb (2009).|date=2019-08-22 ''Implementing|title=Data-Driven Decision Making: A Primer for Beginners |url=https://www.northeastern.edu/graduate/blog/data-informed driven-decision -making/ in|access-date=2022-02-28 schools:|website=Northeastern TeacherUniversity access,Graduate supportsPrograms and|language=en-US}}</ref><ref>{{Cite use.''web United|date=2019-11-25 States|title=Three DepartmentExamples of EducationHow (ERICCompanies DocumentMake ReproductionData-Driven ServiceDecisions No|url=https://programs.online.utica.edu/resources/article/data-driven-decisions ED504191)|access-date=2022-02-28 |website=Utica University |language=en-US}}</ref> MostMany educators[[educator]]s have access to some type of a [[data system]] for the purpose of analyzing studenttheir students' data.<ref>Aarons, D. (2009). [httphttps://searchwww.proquest.com/docview/202710770?accountid=28180 Report finds states on course to build pupil-data systems.] ''Education Week, 29''(13), 6.</ref> These data systems present data to educators in an over-the-counter data format (embedding labels, supplemental documentation, and a help system and, making key package/display and content decisions) to improve the success of educators’educators' data-informed decision-making.<ref>Rankin, J. (2013, March 28). [https://sas.elluminate.com/site/external/recording/playback/link/table/dropin?sid=2008350&suid=D.4DF60C7117D5A77FE3AED546909ED2 How data Systems & reports can either fight or propagate the data analysis error epidemic, and how educator leaders can help.] {{Webarchive|url=https://web.archive.org/web/20190326201414/https://sas.elluminate.com/site/external/recording/playback/link/table/dropin?sid=2008350&suid=D.4DF60C7117D5A77FE3AED546909ED2 |date=2019-03-26 }} ''Presentation conducted from Technology Information Center for Administrative Leadership (TICAL) School Leadership Summit.''</ref> In business, fostering and actively supporting data-driven decision-making in their firm and among their [[colleagues]] may be one of the central responsibilities of CIOs (Chief Information Officers) or CDOs (Chief Data Officers).<ref>Delort P. 2012. [http://www.oecd.org/sti/ieconomy/Session_3_Delort.pdf#page=13 ICCP Technology Foresight Forum - "Harnessing data as a new source of growth: Big data analytics and policies" .] ''OECD, 2012''</ref>

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'''Data-informed decision-making (DIDM)''' refers to the collection and analysis of data to guide decisions that improve success.<ref>U.S. Department of Education Office of Planning, Evaluation and Policy Development (2009). ''Implementing data-informed decision making in schools: Teacher access, supports and use.'' United States Department of Education (ERIC Document Reproduction Service No. ED504191)</ref> DIDM is used daily in education communities (where data is used with the goal of helping students) but is also applicable to (and thus also used in) other fields in which data is used to inform decisions. While '''data-driven decision-making''' is a more common term, ''data-informed decision-making'' is a preferable term since decisions should not be based solely on quantitative data.<ref>Knapp, M. S., Swinnerton, J. A., Copland, M. A., & Monpas-Hubar, J. (2006). ''Data-informed leadership in education.'' Seattle, WA: Center for the Study of Teaching and Policy.</ref><ref>U.S. Department of Education Office of Planning, Evaluation and Policy Development (2009). ''Implementing data-informed decision making in schools: Teacher access, supports and use.'' United States Department of Education (ERIC Document Reproduction Service No. ED504191)</ref> Most educators have access to a [[data system]] for the purpose of analyzing student data.<ref>Aarons, D. (2009). [http://search.proquest.com/docview/202710770?accountid=28180 Report finds states on course to build pupil-data systems.] ''Education Week, 29''(13), 6.</ref> These data systems present data to educators in an over-the-counter data format (embedding labels, supplemental documentation, and help system and making key package/display and content decisions) to improve the success of educators’ data-informed decision-making.<ref>Rankin, J. (2013, March 28). [https://sas.elluminate.com/site/external/recording/playback/link/table/dropin?sid=2008350&suid=D.4DF60C7117D5A77FE3AED546909ED2 How data Systems & reports can either fight or propagate the data analysis error epidemic, and how educator leaders can help.] ''Presentation conducted from Technology Information Center for Administrative Leadership (TICAL) School Leadership Summit.''</ref>

[[Assessment in higher education]] is a form of data-driven decision-making aimed at using evidence of what students learn to improve curriculum, student learning, and teaching.<ref>{{cite web|last1=Flaherty|first1=Colleen|title=Large-Scale Assessment Without Standardized Tests|url=https://www.insidehighered.com/news/2017/02/23/aacu-releases-report-national-large-scale-look-student-learning)|website=Inside HigherEd|accessdate=24 February 2017}}</ref> Standardized tests, grades, and student work scored by rubrics are forms of student learning outcomes assessment. [[Formative assessment]]s, specifically, allow educators to use the data from student performances more immediately in modifying teaching and learning strategies. There are numerous organizations aimed at promoting the assessment of student learning through DIDM including the National Institute for Learning Outcomes Assessment, the Association for the Assessment of Student Learning in Higher Education, and, to an extent, the [[Association of American Colleges and Universities]].

==References==

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[[Category:Data analysis]]

[[Category:Standards-based education]]

[[Category:Decision-making software]]