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Showing all 9 results Save | Export
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
Peer reviewed Peer reviewed
Rycroft, Robert S. – Journal of Economic Education, 1987
Reviews fourteen econometric and forecasting programs for the IBM PC family of computers. The comparison is based on analytical capabilities, cost, operating characteristics, and user-friendliness. Concludes that the programs do not differ enough to provide grounds for rejection of one program in favor of another. Includes names and addresses for…
Descriptors: Computer Software Reviews, Data Analysis, Data Processing, Economics
Sides, Charles H. – ABCA Bulletin, 1982
Describes the elements of data processing documentation, presents and discusses a model syllabus for a course that takes into account each element of data processing documentation, and examines the requisite knowledge for teaching such a course. (HOD)
Descriptors: Business Communication, Course Descriptions, Data Processing, Documentation
Nation's Schools and Colleges, 1975
Mathematical games help students at Temple University; a mobile laboratory brings data-processing instruction to Oklahoma students; Career English helps Santa Clara students qualify for jobs. (Author/MLF)
Descriptors: Curriculum Development, Data Processing, Educational Games, Higher Education
Schoenfeldt, Lyle F.; Cooley, William W. – 1968
This paper describes the advances in storing and accessing large resources of data as well as possibilities for utilizing these archives in research, instruction, and policy planning. Particular reference is made to the Project TALENT Data Bank. Project TALENT is described briefly. A section summarizes the state of computer technology with respect…
Descriptors: Computer Science, Data Processing, Higher Education, Information Processing
Peer reviewed Peer reviewed
Shannon, John R. – Delta Pi Epsilon Journal, 1978
Reports a classroom experiment by future teachers at the University of Iowa to compare a traditional teacher-managed method of instruction to a student-managed method. Subject matter was a data processing unit of a secondary school bookkeeping course. No significant differences in student achievement scores were found. (MF)
Descriptors: Business Education, Classroom Techniques, Data Processing, Educational Experiments
Robinson, James T. – 1981
The preparation of a data tape and users guide is reported. The tape contains about 700 cases with nearly two thousand variables collected over a three-year period as part of a curriculum evaluation study. The student group is the eleven- to fourteen-year-old population that participated in the field test of the BSCS Human Sciences Program.…
Descriptors: Data Analysis, Data Bases, Data Collection, Data Processing
Lambrecht, Judith J.; And Others – Business Education World, 1977
The need for high school instruction in electronic data processing and computers and the need for preservice and inservice education of high school teachers to teach data processing are examined, with suggestions for business educators on initiating better data processing training programs for themselves and for their students. (MF)
Descriptors: Business Education, Computer Science Education, Data Processing, Educational Needs
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers