Data-informed decision-making

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Data-informed decision-making (DIDM) gives reference to the collection and analysis of data to guide decisions that improve success. [1] 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." [2] DIDM is used in education communities (where data is used with the goal of helping students 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. [1] [3] Data-driven decision-making is commonly used in the context of business growth and entrepreneurship. [4] [5] Many educators have access to data system for analyzing student data. [6] These data systems present data to educators in an over-the-counter data format (embedding labels, supplemental documentation, and a help system, making key package/display and content decisions) to improve the success of educators' data-informed decision-making. [7] 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). [8]

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. [9] Standardized tests, grades, and student work scored by rubrics are forms of student learning outcomes assessment. Formative assessments, 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.

Related Research Articles

<span class="mw-page-title-main">Outcome-based education</span> Educational system based on the desired goals

Outcome-based education or outcomes-based education (OBE) is an educational theory that bases each part of an educational system around goals (outcomes). By the end of the educational experience, each student should have achieved the goal. There is no single specified style of teaching or assessment in OBE; instead, classes, opportunities, and assessments should all help students achieve the specified outcomes. The role of the faculty adapts into instructor, trainer, facilitator, and/or mentor based on the outcomes targeted.

<span class="mw-page-title-main">Standardized test</span> Test administered and scored in a predetermined, standard manner

A standardized test is a test that is administered and scored in a consistent, or "standard", manner. Standardized tests are designed in such a way that the questions and interpretations are consistent and are administered and scored in a predetermined, standard manner.

Educational assessment or educational evaluation is the systematic process of documenting and using empirical data on the knowledge, skill, attitudes, aptitude and beliefs to refine programs and improve student learning. Assessment data can be obtained by examining student work directly to assess the achievement of learning outcomes or it is based on data from which one can make inferences about learning. Assessment is often used interchangeably with test but is not limited to tests. Assessment can focus on the individual learner, the learning community, a course, an academic program, the institution, or the educational system as a whole. The word "assessment" came into use in an educational context after the Second World War.

<span class="mw-page-title-main">No Child Left Behind Act</span> 2002 United States education reform law; repealed 2015

The No Child Left Behind Act of 2001 (NCLB) was a 2002 U.S. Act of Congress promoted by the presidency of George W. Bush. It reauthorized the Elementary and Secondary Education Act and included Title I provisions applying to disadvantaged students. It mandated standards-based education reform based on the premise that setting high standards and establishing measurable goals could improve individual outcomes in education. To receive federal school funding, states had to create and give assessments to all students at select grade levels.

Educational evaluation is the evaluation process of characterizing and appraising some aspect/s of an educational process.

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<span class="mw-page-title-main">Teacher education</span> Training teachers to develop teaching skills

Teacher education or teacher training refers to programs, policies, procedures, and provision designed to equip (prospective) teachers with the knowledge, attitudes, behaviors, approaches, methodologies and skills they require to perform their tasks effectively in the classroom, school, and wider community. The professionals who engage in training the prospective teachers are called teacher educators.

<span class="mw-page-title-main">Formative assessment</span> Method in education

Formative assessment, formative evaluation, formative feedback, or assessment for learning, including diagnostic testing, is a range of formal and informal assessment procedures conducted by teachers during the learning process in order to modify teaching and learning activities to improve student attainment. The goal of a formative assessment is to monitor student learning to provide ongoing feedback that can help students identify their strengths and weaknesses and target areas that need work. It also helps faculty recognize where students are struggling and address problems immediately. It typically involves qualitative feedback for both student and teacher that focuses on the details of content and performance. It is commonly contrasted with summative assessment, which seeks to monitor educational outcomes, often for purposes of external accountability.

<span class="mw-page-title-main">Commission on the Future of Higher Education</span>

The formation of a Commission on the Future of Higher Education, also known as the Spellings Commission, was announced on September 19, 2005, by U.S. Secretary of Education Margaret Spellings. The nineteen-member commission was charged with recommending a national strategy for reforming post-secondary education, with a particular focus on how well colleges and universities are preparing students for the 21st-century workplace, as well as a secondary focus on how well high schools are preparing the students for post-secondary education. In the report, released on September 26, 2006, the Commission focuses on four key areas: access, affordability, the standards of quality in instruction, and the accountability of institutions of higher learning to their constituencies. After the report's publication, implementation of its recommendations was the responsibility of U.S. Under Secretary of Education, Sara Martinez Tucker.

Education sciences, also known as education studies, education theory, and traditionally called pedagogy, seek to describe, understand, and prescribe education including education policy. Subfields include comparative education, educational research, instructional theory, curriculum theory and psychology, philosophy, sociology, economics, and history of education. Related are learning theory or cognitive science.

A strategic technology plan is a specific type of strategy plan that lets an organization know where it is now and where its wants to be some time in the future with regard to the technology and infrastructure in the organization. It often consists of the following sections.

<span class="mw-page-title-main">Evidence-based education</span> Paradigm of the education field

Evidence-based education (EBE) is the principle that education practices should be based on the best available scientific evidence, with randomised trials as the gold standard of evidence, rather than tradition, personal judgement, or other influences. Evidence-based education is related to evidence-based teaching, evidence-based learning, and school effectiveness research.

Value-added modeling is a method of teacher evaluation that measures the teacher's contribution in a given year by comparing the current test scores of their students to the scores of those same students in previous school years, as well as to the scores of other students in the same grade. In this manner, value-added modeling seeks to isolate the contribution, or value added, that each teacher provides in a given year, which can be compared to the performance measures of other teachers. VAMs are considered to be fairer than simply comparing student achievement scores or gain scores without considering potentially confounding context variables like past performance or income. It is also possible to use this approach to estimate the value added by the school principal or the school as a whole.

Teacher quality assessment commonly includes reviews of qualifications, tests of teacher knowledge, observations of practice, and measurements of student learning gains. Assessments of teacher quality are currently used for policymaking, employment and tenure decisions, teacher evaluations, merit pay awards, and as data to inform the professional growth of teachers.

<span class="mw-page-title-main">Wisconsin Center for Education Research</span>

Wisconsin Center for Education Research (WCER), located in Madison, Wisconsin, United States, is an education research center founded in 1964 as a branch of the School of Education at the University of Wisconsin–Madison. WCER currently has extramural funding of approximately $40 million, and is home to over 500 faculty, staff, graduate and undergraduate students who are engaged in more than 100 research projects that investigate a variety of topics in education.

Educator effectiveness is a United States K-12 school system education policy initiative that measures the quality of an educator performance in terms of improving student learning. It describes a variety of methods, such as observations, student assessments, student work samples and examples of teacher work, that education leaders use to determine the effectiveness of a K-12 educator.

Data-driven instruction is an educational approach that relies on information to inform teaching and learning. The idea refers to a method teachers use to improve instruction by looking at the information they have about their students. It takes place within the classroom, compared to data-driven decision making. Data-driven instruction works on two levels. One, it provides teachers the ability to be more responsive to students’ needs, and two, it allows students to be in charge of their own learning. Data-driven instruction can be understood through examination of its history, how it is used in the classroom, its attributes, and examples from teachers using this process.

Assessment in higher education was a reform movement that emerged in the United States in the early 2000s to spur improved learning in higher education through regular and systematic measurement. The campaign was a higher education corollary to the standardized testing required in K-12 schools by the No Child Left Behind Act. By the latter 2010s the bureaucratic demands of assessment advocates were being reconsidered in higher education even by some of those who had played a major part in promoting them.

<span class="mw-page-title-main">Large-scale learning assessments</span>

Large-scale learning assessments (LSLAs) is defined as a form of national or cross-national standardized testing that provide a snapshot of learning achievement for a group of learners in a given year and in a limited number of learning domains.

Docimology is a specialized field of pedagogy and psychology that focuses on the systematic study, analysis, and improvement of evaluation and testing processes in education. As a scientific discipline, it seeks to ensure that assessment methods are not only accurate and fair but also appropriate for measuring students' performance, knowledge, and skills.

References

  1. 1 2 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)
  2. "Data-Driven Decision Making: 5 Essentials". Ohio University. 2019-12-02. Retrieved 2022-02-28.
  3. 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.
  4. "Data-Driven Decision Making: A Primer for Beginners". Northeastern University Graduate Programs. 2019-08-22. Retrieved 2022-02-28.
  5. "Three Examples of How Companies Make Data-Driven Decisions". Utica University. 2019-11-25. Retrieved 2022-02-28.
  6. Aarons, D. (2009). Report finds states on course to build pupil-data systems. Education Week, 29(13), 6.
  7. Rankin, J. (2013, March 28). How data Systems & reports can either fight or propagate the data analysis error epidemic, and how educator leaders can help. Archived 2019-03-26 at the Wayback Machine Presentation conducted from Technology Information Center for Administrative Leadership (TICAL) School Leadership Summit.
  8. Delort P. 2012. ICCP Technology Foresight Forum - "Harnessing data as a new source of growth: Big data analytics and policies" . OECD, 2012
  9. Flaherty, Colleen. "Large-Scale Assessment Without Standardized Tests". Inside HigherEd. Retrieved 24 February 2017.