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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Lambert, Nadine M.; And Others – Educational Technology, 1971
Descriptors: Computer Programs, Data Collection, Data Processing, Educational Improvement
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Fitzpatrick, Michele, Ed. – Learning Point Associates / North Central Regional Educational Laboratory (NCREL), 2004
"Notes & Reflections" offers practical information--ideas, strategies, tools, and resources--about topics of special interest to professional developers who are working to improve school performance. Today, professional development services to schools are provided by variety of people: teacher leaders; principals; and district, regional, and state…
Descriptors: Data Analysis, Reflection, Change Strategies, Educational Improvement
Peer reviewedBernhardt, 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
Deck, Dennis – 1986
This paper explores ways in which technology (especially microcomputers) can improve the access to and utility of educational data for school improvement efforts. The paper focuses on the product and project options available to the Northwest Regional Educational Laboratory's Database and School Profiling program, which offers technical and…
Descriptors: Computer Oriented Programs, Data Collection, Data Processing, Educational Improvement


