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Showing 1 to 15 of 201 results Save | Export
Tsai, Tiffany; Tosh, Katie – RAND Corporation, 2020
Teachers' use of student data to inform instruction is commonly accepted as sound educational practice, and this data use is only likely to grow as more data, as well as more-complex data, become increasingly available to educators. However, numerous studies reveal inconsistent data use among teachers and an overall lack of the preparation and…
Descriptors: Data Analysis, Data Use, Database Management Systems, Personnel Data
Arnold, Lydia; Norton, Lin – Higher Education Academy, 2018
This resource has been written specifically for higher education practitioners who are interested in improving students' learning experiences through the process of researching their own practice. We use the term 'higher education practitioners' to describe all who work in universities and who have a stake in students' learning experiences.…
Descriptors: Higher Education, Educational Research, Action Research, Definitions
Baldwin, Chris; Borcoman, Gabriela; Chappell-Long, Cheryl; Coperthwaite, Corby A.; Glenn, Darrell; Hutchinson, Tony; Hughes, John; Jenkins, Rick; Jovanovich, Donna; Keller, Jonathan; Klimczak, Benjamin; Schneider, Bill; Stewart, Carmen; Stuart, Debra; Yeager, Michael – Jobs for the Future, 2012
Enrollment is rising across the nation's community colleges, but completion rates remain untenably low. Reformers are focusing on the importance of using comprehensive, high-quality data on student progress and completion to bring about change. A core tenet of Achieving the Dream: Community Colleges Count has been to embed a culture of…
Descriptors: Community Colleges, Enrollment, Educational Attainment, Educational Policy
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Kahn, Peter; Wareham, Terry; Young, Richard; Willis, Ian; Pilkington, Ruth – International Journal of Research & Method in Education, 2008
The application of educational research to practice remains an issue of concern, and yet there has been relatively little consideration of this in relation to reviews of research. While the professional user review hitherto represents the most relevant approach, this involves users applying the findings of an earlier review rather than carrying…
Descriptors: Educational Research, Literature Reviews, Evaluation Methods, Methods Research
Dyck, Brenda A. – National Middle School Association (NJ3), 2006
Fueled by a culture fascinated by numbers and increased accountability, data-driven instruction has become a mighty force as it joins with the tools of technology to handle the mammoth task of gathering, sorting, analyzing, and synthesizing data. Success stories from districts all over the country attest to the positive results of implementing…
Descriptors: Evaluation Methods, Individualized Instruction, Educational Change, Data Interpretation
McBroom, Douglas C. – 2001
This guide provides students with practice for all the major types of graphs they are likely to encounter. It includes information on graphs of various families of algebraic functions; bar, line, and circle graphs; the creation, reading, and interpretation of graphs; and the use of graphing calculators. (MVL)
Descriptors: Algebra, Data Interpretation, Elementary Secondary Education, Graphing Calculators
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McClain, Kay – Mathematics Teaching in the Middle School, 1999
Addresses issues of students' understandings of representative values of data--how representative values should be introduced, and what role student understanding of representative values plays in their ability to analyze sets of data. Highlights the importance of teacher support of student development of conceptual understandings of multiple…
Descriptors: Data Analysis, Data Interpretation, Mathematics Activities, Mathematics Instruction
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
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Lilley, Stephen – 1982
This publication provides program planners and others with information and analytical tools for using demographic data in program planning, implementation, and evaluation. The report reviews the importance of demographic data and their relevance to programs and proper implementation of laws, discusses the collection of demographic information by…
Descriptors: Data Collection, Data Interpretation, Demography, Information Utilization
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Kader, Gary D. – Mathematics Teaching in the Middle School, 1999
Introduces an activity designed to develop statistical concepts such as the distribution for a set of data, various interpretations of the mean for a set of data, the limitation of the mean for distinguishing distributions, variation in data, variation in data from the mean, and the MAD as a measure of variation in data from the mean. (ASK)
Descriptors: Data Interpretation, Grade 8, Mathematics Activities, Mathematics Instruction
Peer reviewed Peer reviewed
Ainley, Janet; Nardi, Elena; Pratt, Dave – International Journal of Computers for Mathematical Learning, 2000
Describes research using a pedagogic strategy developed during an exploratory work called Active Graphing in which access to spreadsheets allows graphs to be used as analytic tools within practical experiments. Identifies aspects of student interaction with the experiment itself, the data collected and the graphs, and traces the emergence of…
Descriptors: Computer Uses in Education, Data Interpretation, Elementary Education, Graphs
Heritage, Margaret; Chen, Evan – Phi Delta Kappan, 2005
Without using data to inform their actions at every step of the way, teachers and administrators will probably not reach their goals for school improvement. In this article, the authors describe a CRESST initiative that helps educators develop the skills to collect, analyze, and be guided by data. Five steps to effective date use are described in…
Descriptors: Academic Achievement, Educational Improvement, Data Collection, Data Analysis
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Schneider, Gail Thierbach; Burgos, Fermin – NASSP Bulletin, 1987
Computer-based management systems offer an efficient means of recording, categorizing, and summarizing data on student discipline. This article furnishes basic information on developing student files, entering data, and generating meaningful reports, such as individual student profiles, date and period frequency, student referral distribution, and…
Descriptors: Computer Software, Data Collection, Data Interpretation, Database Management Systems
Thomas, R. Murray – 2003
This guide discusses combining qualitative and quantitative research methods in theses and dissertations. It covers a wide array of methods, the strengths and limitations of each, and how they can be effectively interwoven into various research designs. The first chapter is "The Qualitative and the Quantitative." Part 1, "A…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Doctoral Dissertations
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