It is necessary to have a relevant secondary school data processing curriculum as the first step toward career preparation in data processing. The curriculum should be patterned on local business needs. (JOW)

The teaching of data processing in the secondary school is examined, including teachers (certification, work experience), textbooks (selection, concentration), community (advisory committees, career exploration), students (recruitment, aptitude tests), instruction methods (simulation, audiovisuals, field trips), course content (machine technology,…

A five-year follow-up study compares the current business school curriculum content in electronic data processing and statistical sampling to the requirements of business. Differences still exist but there is evidence of progress by business schools in meeting the needs of business. (JOW)

On the basis of a survey of U.S. undergraduate business schools and industry, a study defined the curricular content (knowledge and skills) in electronic data processing (EDP) and statistical sampling (SS) needed to prepare the accounting study to audit computerized accounting systems. (CT)