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Showing 1 to 15 of 22 results Save | Export
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Hirsh, Stephanie; Hord, Shirley – Journal of Staff Development, 2012
This article is an excerpt from "A Playbook for Professional Learning: Putting the Standards Into Action" (Learning Forward, 2012). Written by Learning Forward Executive Director Stephanie Hirsh and Scholar Laureate Shirley Hord, "A Playbook for Professional Learning" provides those who work in professional learning with readily accessible…
Descriptors: Data, Information Utilization, Data Analysis, Academic Achievement
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Bergman, Barbara – Journal of Staff Development, 2012
Teachers in the Federal Way (Wash.) Public Schools had no shortage of student data. Standardized test scores, unit tests, and report card grades were as familiar to educators as reading, writing, and arithmetic. With the onset of statewide testing in the 1990s, data analysis was expanded to cover a multitude of state learning goals in grades 4, 7,…
Descriptors: Academic Achievement, Data Analysis, Data Interpretation, Evaluation Utilization
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Herman, Phillip; Wardrip, Peter; Hall, Ashley; Chimino, Amy – Journal of Staff Development, 2012
Improving systematic use of student data to inform the work of teachers, schools, and districts has become a hot topic in education reform. Learning Forward's Standards for Professional Learning stress better use of data, and particularly student performance data, within an integrated approach to improving practice. While better use of data by…
Descriptors: Teacher Collaboration, Elementary School Teachers, Instructional Improvement, Workplace Learning
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von Frank, Valerie – Journal of Staff Development, 2013
Principal Wilma Culton's professional development in the last few years has had her setting out for Singapore, conferencing in Canada, and bopping over to Berlin to check out what experts and the best educators around the world know about helping kids learn. The head of a primary school just outside Melbourne, Australia, Culton is a prime example…
Descriptors: Foreign Countries, Principals, Professional Development, Educational Improvement
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Hill, Rachelle; Rapp, Lori – Journal of Staff Development, 2012
Schools and districts are inundated with data from a variety of sources. As a result, using data to guide instructional planning can be daunting for teachers and schools. While schools and districts are dealing with shrinking budgets and growing demands for high student achievement, an investment in school-based coaching can provide exponential…
Descriptors: Teaching Methods, Educational Change, Data Analysis, Coaching (Performance)
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Conzemius, Anne – Journal of Staff Development, 2012
This article discusses five generally accepted reasons to use data as a part of an educator's ongoing professional practice. Of course, there are many other more specific reasons one might look at data, but these five cover the overarching need in an educational setting. The five major purposes for using data are: (1) To enhance understanding and…
Descriptors: Data Analysis, Teaching (Occupation), Educational Practices, Perspective Taking
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Reeves, Douglas B.; Flach, Tony – Journal of Staff Development, 2011
Learning Forward's Standards for Professional Learning have the potential to influence educational policy and practice in profound ways for the systems that are courageous enough to take them seriously, and the Data standard is a critical element systemwide. Schools are overwhelmed with data warehouses, colorful charts and graphs, and endless…
Descriptors: Feedback (Response), Incentives, Academic Achievement, Leadership Effectiveness
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Easton, Lois Brown – Journal of Staff Development, 2008
Variety may be the spice of life, but in terms of data sources, variety is more than a spice--it is one of the basic food groups. Alternative data sources, such as student interviews and walk-throughs, are essential for a well-balanced diet. Data from test scores alone, whether from norm-referenced or criterion-referenced tests, state, district,…
Descriptors: Academic Achievement, Information Sources, Alternative Assessment, Data Analysis
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Champion, Robby – Journal of Staff Development, 2002
Limiting data collection to a sample group is one way to increase effectiveness in dealing with data. The paper describes how to draw a sample group (random sampling, stratified random sampling, purposeful sampling, and convenient or opportunity sampling) and discusses how to determine the size of the sample group. (SM)
Descriptors: Data Analysis, Data Collection, Elementary Secondary Education, Evaluation Methods
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LeTendre, Brenda Guenther – Journal of Staff Development, 2000
Getting answers to questions about schools and student learning requires that educators know how to collect, analyze, and interpret data. Six critical steps in this process include: posing questions, establishing judgment criteria, making a plan, gathering data, analyzing data, and interpreting results. These steps can serve as a beginning guide…
Descriptors: Data Analysis, Data Collection, Educational Research, Educational Researchers
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Bernhardt, Victoria L. – Journal of Staff Development, 2000
Presents a model to help schools pose and answer data-based questions about teaching and learning, describing different types of data that educators can use to piece together pictures of their schools (e.g., student learning statistics, demographic data, and school process data) and discussing how educators can cross data from different categories…
Descriptors: Data Analysis, Data Collection, Educational Research, Elementary Secondary Education
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Killion, Joellen – Journal of Staff Development, 2003
Extensive practice and research in program evaluation have led to this eight-step process that a professional developer can use to determine a program's effectiveness and strengthen the program as it evolves. An unbiased, systematic process of evaluation can help justify putting resources into professional learning and make it easier to determine…
Descriptors: Program Evaluation, Faculty Development, Program Effectiveness, Program Improvement
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Rasmussen, Claudette; Hopkins, Susan; Fitzpatrick, Michele – Journal of Staff Development, 2004
A carefully developed, comprehensive professional development plan takes time, energy, and coordination of resources, but when it's done well, it can seem as effortless as a perfectly pitched curve ball. Seven steps, each with a set of guiding questions, can help planners meet the goal and create a program that produces results. [Appended to this…
Descriptors: Staff Development, Educational Planning, Guides, Program Effectiveness
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Killion, Joellen; Bellamy, G. Thomas – Journal of Staff Development, 2000
Several Colorado schools hired data analysts to help with school improvement efforts. The analysts are teachers who participate on school leadership teams and who support school action research teams. They collect and organize baseline data, help teams measure results of proposed changes, and evaluate results after implementation. Because they are…
Descriptors: Action Research, Data Analysis, Data Collection, Decision Making
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Richardson, Joan – Journal of Staff Development, 2000
This year's winners of the U.S. Department of Education's Model Professional Development Awards exemplify schools and districts where everyone's job is to learn. In these models, time and resources are spent on teacher-run institutes, data analysis and collection, peer coaching, curriculum writing, collaborative lesson planning, examining student…
Descriptors: Action Research, Data Analysis, Data Collection, Educational Improvement
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