NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Searle, John R. – Scientific American, 1990
Discusses whether machines can think in the same sense that humans think. Provides four conclusions based on axioms of differences between computer programs and human minds. Compares claims of strong and weak artificial intelligence. (YP)
Descriptors: Artificial Intelligence, Computer Science, Computer Software, Computer Software Development
Peer reviewed Peer reviewed
Strickland, James – Computers and Composition, 1987
Appraises the computer as a prewriting aid. Evaluates both the quality and quantity of ideas produced by various invention techniques and programs, and compares results of similar studies by Hugh Burns and Helen Schwartz. (NKA)
Descriptors: Computer Assisted Instruction, Computer Software, Freshman Composition, Heuristics
Peer reviewed Peer reviewed
Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1988
Discusses programs to provide a knowledge base and use the knowledge in a mode of artificial intelligence. Indicates that two methods of database storage are possible and opts to use a method using many data files while using a small RAM capacity. Lists several programs. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science
Yates, Billy C.; Moursund, Dave – Computing Teacher, 1989
Discussion of problem solving in education focuses on 19 statements about problem solving that have implications for the educational use of computers. Topics discussed include thinking processes; groups and cooperative learning; transferring knowledge to other domains; short term memory and chunking; tutoring; simulations; and programing. (38…
Descriptors: Computer Assisted Instruction, Computer Simulation, Group Instruction, Heuristics
Ingram, Albert L. – Educational Communication and Technology Journal, 1988
Discussion of instructional design models focuses on a study concerned with developing effective instruction in heuristic-based problem solving for computer programing. Highlights include distinctions between algorithms and heuristics; pretests and posttests; revised instructional design procedures; student attitudes; task analysis; and…
Descriptors: Academic Achievement, Algorithms, Guidelines, Heuristics