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'''Data-informed decision-making''' ('''DIDM''') gives reference to the [[data collection|collection]] and [[data analysis|analysis]] of [[data]] to guide [[decision-making|decisions]] that improve 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 in [[education]] communities (where data is used with the goal of helping [[student]]s and improving curricula) and is also used in other fields in which data is used to inform decisions. While "data based decision-making" is a more common term, "''data-informed'' decision-making" is the preferred 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> Data-driven decision-making is commonly used in the context of business growth and entrepreneurship.<ref>{{Cite web |date=2019-08-22 |title=Data-Driven Decision Making: A Primer for Beginners |url=https://www.northeastern.edu/graduate/blog/data-driven-decision-making/ |access-date=2022-02-28 |website=Northeastern University Graduate Programs |language=en-US}}</ref><ref>{{Cite web |date=2019-11-25 |title=Three Examples of How Companies Make Data-Driven Decisions |url=https://programs.online.utica.edu/resources/article/data-driven-decisions |access-date=2022-02-28 |website=Utica University |language=en-US}}</ref> Many [[educator]]s have access to [[data system]] for analyzing student data.<ref>Aarons, D. (2009). [https://
[[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]].
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