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Hasselbring, Ted S.; Gray, Jacquelyn T. – Peabody Journal of Education, 1984
Good teacher decision making is the most basic skill in effecting positive student outcome. The quality of preactive, interactive, and postactive decisions can be greatly enhanced while reducing the effort required for training through the use of microcomputer training. The result will be an increase in student achievement. (MT)
Descriptors: Artificial Intelligence, Computer Managed Instruction, Decision Making Skills, Elementary Secondary Education

Passmore, David L.; And Others – Journal of Epsilon Pi Tau, 1984
Personal computers are inexpensive, portable, accessible, and adaptable for vocational education instruction, administration, and communications. Successful infusion of microcomputers into vocational education requires staff orientation, improvement in software quality, and careful planning. (SK)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Managed Instruction, Microcomputers

O'Hair, Marilyn; Johnson, D. LaMont – Computers in the Schools, 1989
Describes results of a survey of secondary school and college teachers that was conducted to determine subject matter that should be included in educational computing journals. Areas of interest included computer applications; artificial intelligence; computer-aided instruction; computer literacy; computer-managed instruction; databases; distance…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Literacy, Computer Managed Instruction
Garson, G. David – Teaching Political Science, 1985
Future impacts of microcomputing on political science are discussed. Scenarios dealing with networking, data access, field research, course management, and simulations and artificial intelligence are described. (RM)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Managed Instruction, Data Processing

Tallon, Bill; And Others – School Science Review, 1983
Discusses use of microcomputers for structuring, communicating, and disseminating information under the categories of instructional use (computer-assisted instruction), emancipation (number crunching), revelatory (discovery/simulation), and conjectural (hypothesis testing). Also discusses use of PROLOG language for modeling ecosystems and testing…
Descriptors: Artificial Intelligence, Biology, Computer Assisted Instruction, Computer Managed Instruction