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Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2020
Authentic, "messy data" contain variability that comes from many sources, such as natural variation in nature, chance occurrences during research, and human error. It is this messiness that both deters potential users of authentic data and gives data the power to create unique learning opportunities that reveal the nature of science…
Descriptors: Data Analysis, Scientific Research, Science Instruction, Scientific Principles
Goff, Jay W.; Williams, Brian G.; Kilgore, Wendy – Strategic Enrollment Management Quarterly, 2016
Effective strategic enrollment management (SEM) efforts require vast amounts of internal and external data to ensure that meaningful reporting and analysis systems can assist managers in decision making. A wide range of information is integral for leading effective and efficient student recruitment and retention programs. This article is designed…
Descriptors: Enrollment Management, Decision Making, Student Recruitment, School Holding Power
Lee, Patrick; Reed, Sherrie; Hernandez, Ambar; Kurlaender, Michal – Policy Analysis for California Education, PACE, 2018
This Intersegmental Data Partnerships Resource Guide, and the accompanying PACE policy brief (see ED591080), are products of a year-long qualitative research project exploring promising practices in data sharing and data use among intersegmental partnerships throughout California. This Resource Guide provides institutions engaged in intersegmental…
Descriptors: Partnerships in Education, Guides, Guidelines, Data Analysis
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
Jones, Joseph; Southern, Kyle – CNA Corporation, 2011
Federal education policy in recent years has encouraged state and local education agencies to embrace data use and analysis in decision-making, ranging from policy development and implementation to performance evaluation. The capacity of these agencies to make effective and methodologically sound use of collected data for these purposes remains an…
Descriptors: Data Analysis, Grants, Educational Policy, Federal Programs
Kinder, Ann – NCREL's Learning Point, 2000
Discusses the importance of the process of making decisions based on data referred to as data-driven decision making, or D3M. Presents guidelines for teachers to consider when implementing a data-driven decision making process. (ASK)
Descriptors: Data Interpretation, Decision Making, Educational Change, Elementary Secondary Education
Raack, Lenaya – NCREL's Learning Point, 2000
Presents an interview with Mary McKnabb, North Central Regional Educational Laboratory (NCREL) Senior Program Associate, Center for Teaching, Learning, and Curriculum on the data-driven decision making process, measuring student success within this process, and the critical role of continuous feedback in assessing student performance. (ASK)
Descriptors: Data Interpretation, Decision Making, Educational Change, Elementary Secondary Education
Lashway, Larry – Research Roundup, 2002
This "Research Roundup" focuses on how schools can benefit when educational leaders use data to challenge their intuition and assumptions in their decision-making. In "Building an Automated Student Record System: A Step-by-Step Guide for Local and State Education Agencies," Barbara S. Clements provides administrators with a quick but comprehensive…
Descriptors: Data Analysis, Data Interpretation, Decision Making, Educational Administration
National Council on Measurement in Education, Washington, DC. – 1990
The assessment competencies set forth in this monograph are knowledge and skills critical to a teacher's role as an educator. It is suggested that the seven standards described as essential for educational assessment of students be incorporated into future teacher training and certification programs. The standards require that teachers be skilled…
Descriptors: Competence, Data Interpretation, Decision Making, Educational Testing
American Association of School Administrators, Arlington, VA. – 2002
School system leaders are discovering the power of data for promoting school improvement. This guide provides practitioners, parents, and community with insights and tools for cultivating a districtwide culture of data-driven inquiry. Chapter 1 points out that data provide quantifiable proof, taking the emotion and rancor out of the…
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Collection
Carr, Nora – American School Board Journal, 2001
School leaders are developing a "just-in-time" approach to research and data analysis to help inform and shape their decisions. Careful analysis of data can reveal patterns that can be improved. The key is to focus districts' research and analysis on the issues that will make the biggest difference in terms of student, teacher, and…
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Interpretation
De Broucker, Patrice, Ed.; Sweetman, Arthur, Ed. – 2001
This book is a collection of 19 essays that broadly treat the use of evidence in informing educational policy and practice in Canada: (1) "Knowledge and Action in Educational Policy and Politics" (Benjamin Levin); (2) "Data, Data Everywhere (and We Don't Know What to Do): Using Data for Wise Decisions in Schools" (Lorna M.…
Descriptors: Data Analysis, Data Interpretation, Decision Making, Educational Improvement
National School Boards Association, Alexandria, VA. – 2001
This book is an easy-to-use guide for school boards in how to use data intelligently when evaluating student achievement, educational improvement, and school accountability. Its purpose is to encourage school boards to use data as a basis for their decision-making instead of speculation, perception, or limited observation. Board members can learn…
Descriptors: Academic Achievement, Accountability, Administrators, Board Administrator Relationship
Educational Research Service, Arlington, VA. – 2003
The results from high-stakes assessments have often been used to merely grade and rank schools and students. But a new trend is emerging, according to this brief. Educators are beginning to see the power of using assessment data to improve instruction. This brief discusses ways to use data to improve instruction at the school, classroom, and…
Descriptors: Academic Achievement, Accountability, Data Collection, Data Interpretation
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