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Download full textRafferty, 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
Weinberger, Elizabeth
The document contains optical scannable forms for some of the instruments in the Input and Process Batteries, and guidelines for administration of the instruments in the Input Batteries of the Management Information System for Occupational Education (MISOE) Sample Data Systems. Input information describes the characteristics of the students at…
Descriptors: Data Collection, Data Processing, Demonstration Programs, Management Information Systems
Poynor, Lee – 1974
The basic concepts, practices, and considerations in assessment are outlined in order to provide the reader with a beginning knowledge of assessment techniques and procedures. Discussion includes the goals of assessment, types of tests, criteria for instrument selection, test construction, data collection procedures, and statistical analysis of…
Descriptors: Data Collection, Data Processing, Educational Assessment, Elementary Secondary Education
Saginaw Public Schools, MI. Dept. of Evaluation, Testing, and Research. – 1996
This publication describes an evaluation design developed to assess school-to-work (STW) efforts throughout the Saginaw Valley STW Partnership area in Michigan. An introduction is followed by an overview of the aim of evaluation. Section 3 describes how the variables pertinent to the evaluation of the STW program initiative were identified,…
Descriptors: Data Analysis, Data Collection, Data Processing, Database Management Systems
Cooperative Educational Research Lab., Inc., Northfield, IL. – 1969
The proposed taxonomy of tasks to be performed in an educational evaluation system encompasses tasks appropriate for evaluators, members of an evaluation unit, and members of facilitation and coordination units. The taxonomy classifies and specifies tasks for (1) developing a climate for evaluation; (2) selecting decision situations, selecting…
Descriptors: Classification, Communication Problems, Communication (Thought Transfer), Critical Path Method
Riccobono, John; Henderson, Louise B.; Burkheimer, Graham J.; Place, Carol; Levinsohn, Jay R. – National Center for Education Statistics, 1981
The National Longitudinal Study (NLS) of the High School Class of 1972 is a large-scale long-term survey effort supported by the National Center for Education Statistics (NCES), Office of the Assistant Secretary for Educational Research and Improvement in the U.S. Department of Education. NLS is designed to provide statistics on a national sample…
Descriptors: Longitudinal Studies, National Surveys, Followup Studies, High School Graduates
PDF pending restorationBrophy, Jere E.; And Others – 1976
Presented as a mini-course on the design of classroom observation systems, this report stresses the necessity of determining the goals of any study before designing the procedures. Only if the researcher has concretely formulated the questions to be answered, can an observation system be developed that will provide the appropriate data. The…
Descriptors: Classroom Observation Techniques, Classroom Research, Codification, Criterion Referenced Tests
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
