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Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2015
Certain stereotypes can be associated with people from different countries. For example, the Italians are expected to be emotional, the Germans functional, and the Chinese hard-working. In this study, we cluster all 15-year-old students representing the 68 different nations and territories that participated in the latest Programme for…
Descriptors: Weighted Scores, Stereotypes, Standardized Tests, Student Characteristics
Koyama, Jill P. – Journal of Education Policy, 2011
This article ethnographically examines the ways in which No Child Left Behind (NCLB) links local practices to the centralized processing of data through its narrowing of procedures and measurements aimed at accountability. Framed by actor-network theory, it draws upon data consistently collected between June 2005 and October 2008, and then…
Descriptors: Federal Legislation, Ethnography, Accountability, Data Collection
Peer reviewedMandeville, Garrett; DeMaio, Anthony – Educational and Psychological Measurement, 1972
Descriptors: Aptitude Tests, Computer Programs, Data Analysis, Data Processing
A Student Data Base: An Aid to Student Selection, Program Evaluation, and Management Decision Making
Peer reviewedAnd Others; Maynard, Diane – Journal of Allied Health, 1974
The authors outline a proposed student information system incorporating a cross-section of student characteristics to provide a basis for longitudinal analysis and an examination of changes in students. (Data might include standard biographical information, achievement test scores, and information obtained from a required test battery in…
Descriptors: Admission Criteria, Allied Health Occupations Education, Data Processing, Databases
Coleman, James S.; Karweit, Nancy L. – 1972
Large school systems bring various administrative problems in handling scheduling, records, and avoiding making red tape casualties of students. The authors review a portion of the current use of computers to handle these problems and examine the range of activities for which computer processing could provide aid. Since automation always brings…
Descriptors: Computer Oriented Programs, Data Processing, Decision Making, Educational Administration
Peer reviewedBurstein, Leigh; And Others – Studies in Educational Evaluation, 1977
Activities of the California State Department of Education related to the Early Childhood Education Program were audited, specifically: (1) overall data management and processing; (2) information quality for the evaluation of program impact; (3) treatment of standardized test data; and (4) procedures for expansion funding and termination. (CP)
Descriptors: Data Analysis, Data Processing, Evaluation Methods, Information Utilization
Koerner, Thomas K.; Elford, George – High School Magazine, 1999
Current information systems streamline traditional information and seldom describe the relationship between two data sets (like test scores and GPAs) or between teaching and learning transactions. Transaction processing systems need to be developed for schools. Teachers' knowledge of student learning is essential for developing responsive…
Descriptors: Accountability, Administrative Problems, Attendance, Competency Based Education
Tallmadge, G. Kasten; And Others – 1987
The Bilingual Education Evaluation System was developed to help local bilingual education projects overcome evaluation obstacles and design sound, useful evaluations within the constraints of available funding and with responsiveness to current federal legislation and regulations. The evaluation system proposed involves a process component, an…
Descriptors: Achievement Tests, Administrator Guides, Bilingual Education Programs, Classroom Observation Techniques
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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