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, terminology), and equipment (hardware and software). (CT)