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Molnar, Alex – Educational Leadership, 1986
Presents an argument for schools developing a number of curriculum and instruction questions that critically question the place of information technology in school programs. What information is of worth and for what purposes? (MD)
Descriptors: Computers, Curriculum Development, Data Collection, Elementary Secondary Education
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McGreal, Thomas L.; And Others – Educational Leadership, 1984
Observation is important in evaluation, but artifact collection should also be used as a supplement to observation. This article includes a framework for analysis of content, design, and presentation of such material in teacher evaluation. (MD)
Descriptors: Data Collection, Elementary Secondary Education, Observation, Supplementary Reading Materials
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Bernhardt, Victoria L. – Educational Leadership, 2003
A primer for schools attempting to analyze the data they collect. Describes ways schools can get a better picture of how to improve learning by gathering, intersecting, and organizing four categories of data more efficiently: (1) demographic data; (2) student-learning data; (3) perceptions data; and (4) school-processes data. (WFA)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Data Processing
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Marzano, Robert J. – Educational Leadership, 2003
Discusses how schools can avoid mistakes in building their school-improvement plans. The two most common mistakes are (1) using measures of student learning that are not sensitive to the actual learning occurring, and (2) having no system for interpreting and using the data. (Contains 1 figure and 11 references.) (WFA)
Descriptors: Change Strategies, Curriculum Development, Data Analysis, Data Collection
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Rudner, Lawrence M.; Boston, Carol – Educational Leadership, 2003
Discusses data warehousing, which provides information more fully responsive to local, state, and federal data needs. Such a system allows educators to generate reports and analyses that supply information, provide accountability, explore relationships among different kinds of data, and inform decision-makers. (Contains one figure and eight…
Descriptors: Accountability, Data Analysis, Data Collection, Data Interpretation