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Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
This data file documentation accompanies new data files for the High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection (PETS-SR). HSLS:09 follows a nationally representative sample of students who were ninth-graders in fall 2009 from high school into postsecondary…
Descriptors: Longitudinal Studies, High School Students, Sampling, Data Collection
Osborne, Kristen; Fowler, Craig; Circelli, Michelle – National Centre for Vocational Education Research (NCVER), 2018
This discussion paper explores the possibilities and risks that data linkage presents for the vocational education and training (VET) sector. Along with a broad overview of the nature of data linkage, it highlights possible applications for data linkage in the VET sector and examines the key challenges associated with its use. A number of case…
Descriptors: Vocational Education, Data Processing, Educational Research, Information Networks
Rees, Malcolm – Journal of Institutional Research, 2014
This paper reports on progress to date with a project underway in New Zealand involving the extraction of data from multiple government agencies that is then combined into one comprehensive longitudinal integrated dataset and made available to trial participants in a way never previously thought possible. The dataset includes school leaver…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Data Processing
Rodriguez, Sheila M.; Estacion, Angela – Regional Educational Laboratory Northeast & Islands, 2014
As the name indicates, the College Readiness Data Catalog Tool focuses on identifying data that can indicate a student's college readiness. While college readiness indicators may also signal career readiness, many states, districts, and other entities, including the U.S. Virgin Islands (USVI), do not systematically collect career readiness…
Descriptors: College Readiness, Data, Educational Indicators, Data Collection
Southern Regional Education Board (SREB), 2015
The Southern Regional Education Board (SREB)-State Data Exchange is a cooperative effort of the SREB and the statewide higher education governing and coordinating boards in the South. Founded in 1969-1970, it is one of the nation's oldest, most comprehensive sources of comparative data on public higher education. The Data Exchange annually…
Descriptors: Consortia, Clearinghouses, Regional Programs, Data Collection
Radwin, David; Hensley, Elisabeth – College Board Advocacy & Policy Center, 2012
The implementation of the Common Core State Standards (CCSS) over the coming years will provide an opportunity for K-12 and postsecondary educators to share and use data effectively to support alignment between the sectors and reduce the need for remedial education. This brief describes how these groups can work together to make the most of data…
Descriptors: Elementary Secondary Education, State Standards, Alignment (Education), Incidence
Southern Regional Education Board (SREB), 2015
The Southern Regional Education Board (SREB)-State Data Exchange is a one-of-a-kind regional program with 23 statewide higher education governing and coordinating board partners. The Data Exchange annually collects, compiles, and publishes: (1) the most current and detailed comparative statistics on postsecondary education in the 16 SREB states;…
Descriptors: Consortia, Clearinghouses, Regional Programs, Data Collection
Washington State Board for Vocational Education, Olympia. – 1963
The major objective of this program is to prepare a technically qualified data processing technician who can assist a systems analyst in designing a logical systems approach to solve data handling problems, develop detailed data processing procedures, wire control panels or write programs, document these procedures in a professional manner,…
Descriptors: Curriculum, Curriculum Guides, Data Processing, Data Processing Occupations
New York State Education Dept., Albany. Bureau of Secondary Curriculum Development. – 1975
The outline presents six units of instruction for use in secondary schools and adult education programs to help prepare students with basic typewriting skills for employment as data entry operators. The units are: (1) introduction to punched card data processing, (2) nonbuffered card punch machines, (3) punched card verifiers, (4)buffered card…
Descriptors: Business Education, Curriculum Guides, Data Processing, Data Processing Occupations
Mundrake, George A. – Balance Sheet, 1981
Outlines career paths and education requirements for computer science occupations. Discusses ways in which business educators can incorporate computers and data processing into the curriculum, and can keep themselves abreast of current developments. (SK)
Descriptors: Business Education, Career Ladders, Computer Science Education, Curriculum Development
Purdue Univ., Lafayette, IN. Office of Manpower Studies. – 1971
This survey was conducted to identify the types and numbers of computer and electronic data processing (EDP) personnel that are needed in Indiana, together with their knowledge and experience requirements. Over 1,000 businesses and government agencies received questionnaires requesting information on: (1) type of EDP operation and system, (2)…
Descriptors: Computer Science, Computer Science Education, Data Processing, Data Processing Occupations

Hennington, Jo Ann – Business Education Forum, 1978
Learning the touch system is fundamental to mastering the ten-key keyboard entry devices in electronic data processing systems. Daily paced drills for speed and accuracy on the ten-key keyboard are recommended and some specific pacing strategies for the teacher to use are presented. (MF)
Descriptors: Clerical Workers, Computer Science Education, Data Processing, Data Processing Occupations
Johnson, Mildred F. – Balance Sheet, 1981
At what levels should business data processing be taught and what should be the desired training or career education outcomes at each education level? The levels discussed here are (1) comprehensive secondary school, (2) secondary vocational skills center or technical institute, (3) community or junior college, and (4) college or university. (LRA)
Descriptors: Articulation (Education), Business Education, Data Processing, Data Processing Occupations
MCKEE, R.L. – 1963
A DATA PROCESSING TRAINING PROGRAM IN WASHINGTON HAD 10 DATA PROCESSING CENTERS IN OPERATION AND EIGHT MORE IN VARIOUS STAGES OF PLANNING IN 1963. THESE CENTERS WERE FULL-TIME DAY PREPARATORY 2-YEAR POST-HIGH SCHOOL TECHNICIAN TRAINING PROGRAMS, OPERATED AND ADMINISTERED BY THE LOCAL BOARDS OF EDUCATION. EACH SCHOOL HAD A COMPLETE DATA PROCESSING…
Descriptors: Admission Criteria, Business Education, Curriculum, Data Processing
Central Texas Coll., Killeen. – 1973
This guide identifies technicians, states specific job requirements, and describes special problems in defining, initiating, and operating post-high school programs in data processing technology. The following are discussed: (1) the program (employment opportunities, the technician, work performed by data processing personnel, the faculty, student…
Descriptors: Computer Science Education, Course Content, Curriculum Development, Curriculum Guides