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Vance, David – 1975
This manual describes information processing procedures for Museum Computer Network (MCN) systems. The first section contains general rules for preparation of input: conventions for all data; conventions for controlling the appearance of output; conventions for automatic sorting of data; conventions for user specified sorting of data; and…
Descriptors: Classification, Computer Programs, Data Collection, Data Processing
Wrenn, James J. – 1974
The final report on a project to develop a standard corpus of present-day Mandarin Chinese is presented. This corpus consists of words of running text of Chinese prose printed in the Republic of China during the calendar year 1968. The corpus, although originally planned to have a total of 500 samples of 2000 words each, has only 294 samples. Each…
Descriptors: Chinese, Codification, Computational Linguistics, Data Collection
Ahmed, Susan; Barbett, Samuel; Carr, Peggy; Frase, Mary; Hoffman, Lee; Kasprzyk, Daniel; Kolstad, Andrew; Owings, Jeffrey; Snyder, Tom – 1997
The Task Force on Quality Control of the National Center for Education Statistics (NCES) was created to study the quality control procedures used for NCES publications and to determine if there are ways to improve the current procedures. Because a detailed review of the entire survey process would have been too time consuming, the Task Force…
Descriptors: Academic Achievement, Data Collection, Databases, Educational Trends
Liu, Kristin Kline; Thurlow, Martha; Albus, Debra; Spicuzza, Richard; Minnema, Jane – 2000
This study was conducted to analyze student background characteristics and educational history data that affect participation and performance of non-English language background students, including those with limited English proficiency, on Minnesota's Basic Standards Test. Data were obtained from individual student cumulative files in six schools…
Descriptors: Data Collection, Databases, Elementary Secondary Education, Limited English Speaking
Ingels, Steven J.; Scott, Leslie A.; Taylor, John R.; Owings, Jeffrey; Quinn, Peggy – 1998
This technical report documents the methodology of the National Education Longitudinal Study of 1988 (NELS:88) base year survey of eighth graders through the 1992 second followup survey of high school students and dropouts. Chapter 1 begins with an overview and history of the NELS:88 and its database, Chapter 2 contains a description of the data…
Descriptors: Data Collection, Databases, Error of Measurement, Followup Studies
Haines, Judith S. – Online, 1982
Describes study of chemists in the Chemistry Division, Organic Research Laboratory, Eastman Kodak Company, as end-user searchers on the DIALOG system searching primarily the "Chemical Abstracts" database. Training, level of use, online browsing, types of searches, satisfaction, costs, and value of end-user searching are highlighted.…
Descriptors: Costs, Data Collection, Databases, Graphs
Unia, Sumitra – Computing Teacher, 1991
Describes a project developed for fifth graders that was designed to teach them about databases through collecting information for a community census. Activities supported by the census project are listed, including both noncomputer activities and computer activities; and an effective sequence of instruction with databases is discussed. (LRW)
Descriptors: Census Figures, Computer Assisted Instruction, Data Collection, Databases
Peer reviewedBrown, James M.; Pucel, David; Twohig, Cathy; Semler, Steve; Kuchinke, K. Peter – Journal of Industrial Teacher Education, 1998
Describes the Minnesota Tech Prep Consortia Evaluation System, which collects outcomes data on enrollment, retention, related job placement, higher education, dropouts, and diplomas/degrees awarded. Explains outcome measures, database development, data collection and analysis methods, and remaining challenges. (SK)
Descriptors: Accountability, Consortia, Data Collection, Databases
Peer reviewedTsantis, 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
White, Beverly I.; Winter, Christina – School Administrator, 2005
Wake County's participation in the statewide pilot of an electronic student information system has created many changes in the district. The new statewide system eventually will store data for all students in North Carolina in one collection of databases that will be accessible from each K-12 classroom, allowing teachers to record student grades…
Descriptors: Management Information Systems, School Districts, Statewide Planning, Student Characteristics
Mueller, Christine; Arling, Greg; Kane, Robert; Bershadsky, Julie; Holland, Diane; Joy, Annika – Gerontologist, 2006
Purpose: This study reviews staffing standards from the 50 states and the District of Columbia to determine if these standards are related to nursing home staffing levels. Design and Methods: Rules and regulations for states' nursing home staffing standards were obtained for the 50 states and the District of Columbia. Nurse staffing data were…
Descriptors: Nursing Homes, State Standards, State Regulation, Federal Legislation
Persico, Donatella; Pozzi, Francesca; Sarti, Luigi – Distance Education, 2010
Monitoring the learning process in computer supported collaborative learning (CSCL) environments is a key element for supporting the efficacy of tutor actions. This article proposes an approach for analysing learning processes in a CSCL environment to support tutors in their monitoring tasks. The approach entails tracking the interactions within…
Descriptors: Cues, Learning Activities, Learning Strategies, Learning Processes
Ma, Xuan; And Others – 1995
This guide presents an introduction to the basics about data collection and discusses the uses of data in daily work. The emphasis is on youth programs in Indiana, but the information is useful for programs in other states. Ways in which program planners and advocacy activists can use data are described, and local, state, and national resources…
Descriptors: Advocacy, Data Analysis, Data Collection, Databases
Weinberger, JoAnn – 1995
A project was conducted to develop the methods, procedures, standards, and processes to enable adult basic and literacy education programs funded by the Pennsylvania Department of Education (PDE) Bureau of Adult Basic and Literacy Education (ABLE) to submit their student and staff data via computer disk. During the project, the Center for…
Descriptors: Adult Basic Education, Computer Peripherals, Computer Uses in Education, Data Collection
Arcia, Emily; Gallagher, James J. – 1993
To determine the extent to which states are able to assess their provision of services to typically underserved populations, this study interviewed 16 Part H (Individuals with Disabilities Education Act) state coordinators. Major findings indicated: (1) six states identified their rural population as most underserved and six identified one or more…
Descriptors: Data Collection, Databases, Disabilities, Ethnic Groups

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