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Ingram, Albert L. – Journal of Educational Technology Systems, 2000
Web server logs contain a great deal of information about who uses a Web site and how they use it. This article discusses the analysis of Web logs for instructional Web sites; reviews the data stored in most Web server logs; demonstrates what further information can be gleaned from the logs; and discusses analyzing that information for the…
Descriptors: Computer Assisted Instruction, Data Analysis, Data Collection, Educational Technology
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Sugai, George; Lewis-Palmer, Teri; Hagan-Burke, Shanna – Exceptionality, 2000
This article provides a general description of the features and steps of the functional behavioral assessment (FBA) process. It is organized around frequently asked questions and provides information on who conducts an FBA, when an FBA should be done, the components of an FBA, and outcomes of an FBA. (Contains references.) (CR)
Descriptors: Behavior Modification, Behavior Problems, Data Collection, Disabilities
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DiMaggio, Paul; Pettit, Becky – Arts Education Policy Review, 1999
Reviews information from a quarter century of surveys, focusing on such topics as the view of public funding of the arts, differences among group attitudes toward the arts, and support/opposition views on federal arts funding. Addresses problems with surveys and investments in data collection and analysis. (CMK)
Descriptors: Art Education, Data Analysis, Data Collection, Elementary Secondary Education
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Hunter, Kimberly L.; Leone, Rebecca S.; Kohlhepp, Kimberly; Hunter, Richard B. – American Biology Teacher, 2002
Describes a science activity on polyploidy targeting middle and high school students which can be used to discuss topics such as chromosomes, cells, plant growth, and functions of stomates. Integrates mathematics in data collection. (Contains 13 references.) (YDS)
Descriptors: Data Collection, Genetics, Hands on Science, High Schools
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Ysseldyke, Jim; Bielinski, John – Exceptional Children, 2002
A study compared the effects of different methods of analyzing trends to illustrate how failure to account for change in classification will lead to misinterpretation of data on the performance of students with disabilities. Data from five years of assessment in Texas is used to illustrate effects of classification changes. (Contains references.)…
Descriptors: Academic Achievement, Accountability, Classification, Data Collection
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Tsantis, Linda; Castellani, John – Journal of Special Education Technology, 2001
This article explores how knowledge-discovery applications can empower educators with the information they need to provide anticipatory guidance for teaching and learning, forecast school and district needs, and find critical markers for making the best program decisions for children and youth with disabilities. Data mining for schools is…
Descriptors: Data Collection, Databases, Disabilities, Educational Technology
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Peterson, Kenneth D.; Stevens, Dannelle; Ponzio, Richard C. – Journal of Research and Development in Education, 1998
This paper emphasizes that good teacher-evaluation systems must vary in the kinds of data sources that are used for each teacher within the same personnel-evaluation system. Presents a literature review that shows such variable data systems are technically defensible. The paper examines variable data sources in relation to the "Personnel…
Descriptors: Conflict of Interest, Data Collection, Elementary Secondary Education, Evaluation Methods
Holden, Meg – Orion Afield: Working for Nature and Community, 2000
The residents of Galiano Island, British Columbia, have used geographic information systems (GIS) to create a local information database that informs community decisions about sustainable use of forest land. The islanders' involvement with GIS promotes a democratic land-use planning process that is reasoned and well informed. (SV)
Descriptors: Community Information Services, Community Planning, Conservation (Environment), Data Collection
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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
Robertson, Heather-Jane – Phi Delta Kappan, 2000
Fournier, coordinator of the School Achievement Indicators Program (SAIP), claims that score differences are associated with linguistic and gender differences. These results have long been substantiated. The expectation-setting process has little reliability or validity. SAIP does not help teachers, and should not determine what students learn.…
Descriptors: Data Collection, Data Interpretation, Elementary Secondary Education, Expectation
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Cortez, Edwin M. – Journal of the American Society for Information Science, 1999
Introduces a prototype system for devising and using a metadata vocabulary for data retrieval, based on a project at the United States Department of Agriculture. A unified information-access system called REEIS (Research, Education, Economics, Extension Information System) is being designed to provide a knowledge base of programs, projects, and…
Descriptors: Access to Information, Computer System Design, Data Collection, Electronic Text
Hochheiser, Harry; Shneiderman, Ben – Proceedings of the ASIS Annual Meeting, 1999
Describes the use of Spotfire, a starfield visualization tool, to generate interactive visualizations of log data, ranging from aggregate views of all Web site hits in a time interval to close-ups that approximate the path of a user through a site. Highlights current efforts and provides examples of the visualizations created in Spotfire.…
Descriptors: Behavior Patterns, Computer System Design, Data Collection, Improvement
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Middlecamp, Catherine Hurt; Nickel, Anne-Marie L. – Journal of Chemical Education, 2000
Describes an exercise designed to allow for student introductions at the beginning of a new semester while simultaneously revealing ways in which research questions can be constructed to collect data. (WRM)
Descriptors: Data Analysis, Data Collection, Higher Education, Questioning Techniques
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Garnier, Philip C.; Poertner, John – Child Welfare, 2000
Discusses development of indicators for the safety of children in out-of-home care using administrative data from the Illinois Department of Children and Family Services. Reports rates of abuse and neglect from 1996 to 1999, and presents an alternative that accounts for the length of time children are exposed to abuse or neglect. (JPB)
Descriptors: Child Abuse, Child Custody, Child Neglect, Child Safety
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Young, Lorraine; Barrett, Hazel – Childhood: A Global Journal of Child Research, 2001
Explores methodological issues associated with gaining access to street children and reducing the influence of the researcher's 'outsider' identity, when undertaking sociospatial research. Illustrates how meaningful results can be gleaned without the inhibitory effects of limited access and outsider influence. (Author)
Descriptors: Access to Information, Children, Data Collection, Ethics
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