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Blackburn, John D. – Computers and Education, 1980
Describes a strategy for the design of social science software, concentrating particularly on the nature of packages, languages, data structures, and characteristics of procedures. (Author)
Descriptors: Branching, Computer Programs, Data Processing, Design
Brinkmann, Karl-Heinz – Meta, 1981
Describes the TEAM Program System of the Siemens Language Services Department, particularly the main features of its terminology data bank. Discusses criteria to which stored terminology must conform and methods of data bank utilization. Concludes by summarizing the consequences that machine-aided translation development has had for the…
Descriptors: Criteria, Data Processing, Databases, Equipment Utilization
Cicero, John J., Jr. – Balance Sheet, 1981
The future of data processing (DP) will depend upon how business teachers handle the subject. A high school DP curriculum should provide background and basic entry-level skills to prepare students for opportunities in this rapidly growing field. (SK)
Descriptors: Business Education, Computer Science Education, Data Processing, Entry Workers
Steiner, Thomas A. – School Press Review, 1979
Offers tips to high school publication staff members on planning a survey, preparing the survey form, conducting the survey, tabulating the results, and preparing the survey as a readable, interesting feature. (GT)
Descriptors: Data Processing, High Schools, News Reporting, Research Methodology
Bohnert, Lea M. – Bulletin of the American Society for Information Science, 1979
Discusses the early commercial development of the computer, with particular emphasis on the work of John Mauchly and the UNIVAC I. (CWM)
Descriptors: Computer Science, Computers, Conference Reports, Data Processing
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Hinnebusch, Mark – Information Technology and Libraries, 1989
A hierarchical extension to the American National Standard for Bibliographic Information Interchange on Magnetic Tape is defined and described. The accommodation of the extension within the existing standard is discussed, modifications to the existing standard are proposed, and applications of the hierarchical format are presented. (21 references)…
Descriptors: Bibliographic Databases, Bibliographic Records, Data Processing, Database Design
Stromgren, Paul – CAUSE/EFFECT, 1989
The data communications requirements of California State University, Los Angeles, reflected in its proposals for an integrated voice/data communications system are described. The advantages and disadvantages of three data communications technologies--voice-and-data private branch exchange, data private branch exchange, and the local area…
Descriptors: Computer Networks, Cost Effectiveness, Data Processing, Higher Education
Curry, Diana – CAUSE/EFFECT, 1989
Indiana University has over 300 microcomputers connected to the administrative mainframe. The issue of micro/mainframe data transfer is discussed and guidelines for planning this capability are provided. Types of micro/mainframe data transfer products, product choice, and how the product works in the transfer environment are described. (Author/MLW)
Descriptors: Computer Networks, Computer Uses in Education, Data Processing, Higher Education
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West, Carol A. – Journal of Career Planning and Employment, 1989
Describes technical writing as a career option, and delineates the most common technical writing positions in a large company: Technical Writer I and II, Senior Technical Writer, Copy Editors, Proofreaders, and Data Entry Operators. Entry requirements and potential for advancement are discussed. (TE)
Descriptors: Career Awareness, Career Exploration, Careers, Data Processing
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Tallerico, Marilyn – Journal of Educational Administration, 1992
Describes how microcomputer technology for processing textual data offers new options for the qualitative researcher in educational administration. Identifies both the potential benefits and limitations of such computer-assisted procedures, drawing on a study of local educational governance. Describes ETHNOGRAPH, a sophisticated, user-friendly…
Descriptors: Computer Assisted Instruction, Computer Software, Data Processing, Elementary Secondary Education
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Rubink, William L.; Taube, Sylvia R. – Mathematics Teaching in the Middle School, 1999
Describes a field-tested interdisciplinary unit activity that involves collecting data on honeybees. Students gain hands-on experience with collecting, transforming, and analyzing data in this activity by using actual techniques employed by entomologists, the scientists who study insects. (ASK)
Descriptors: Data Processing, Entomology, Insects, Integrated Activities
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Brinkworth, Peter – Australian Mathematics Teacher, 1998
Introduces handling data as conceived by Euclid, which provides some interesting possibilities for students to investigate fundamental geometrical ideas as well as relating some elementary geometry with elementary trigonometry. (ASK)
Descriptors: Data Processing, Elementary Secondary Education, Geometric Concepts, Geometry
Lipkin, Richard – Science News, 1995
Discusses six initiatives to find better ways of managing vast amounts of data in digital form. (MKR)
Descriptors: Computers, Data Processing, Educational Technology, Elementary Secondary Education
Johnson, Donald R. – School Business Affairs, 1996
Describes the applications of "Quicken," a software package developed by Intuit, for use by school-business officials. The program can be used for activity-fund and student-activity accounting and for printing checks. Five figures that illustrate screen activities are included. (LMI)
Descriptors: Computer Software, Data Processing, Database Management Systems, Elementary Secondary Education
Dunteman, George H.; Bailey, John P. – 1974
The National Longitudinal Study of the High School Class of 1972 was initiated in the spring of 1972. A national probability sample of l8,000 students from 1,070 schools completed a Student Questionnaire dealing with factors related to personal and family background, educational and work experiences, plans, aspirations, attitudes, and opinions.…
Descriptors: Academic Ability, Career Development, Data Analysis, Data Collection
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