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Dessy, Raymond E., Ed. – Analytical Chemistry, 1984
Discusses working implementations of artificial intelligence systems for chemical laboratory applications. They include expert systems for liquid chromatography, spectral analysis, instrument control of a totally computerized triple-quadrupole mass spectrometer, and the determination of the mineral constituents of a rock sample given the powder…
Descriptors: Artificial Intelligence, Chemical Analysis, Chemistry, College Science
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Borman, Stuart A. – Analytical Chemistry, 1985
Discusses various aspects of scientific software, including evaluation and selection of commercial software products; program exchanges, catalogs, and other information sources; major data analysis packages; statistics and chemometrics software; and artificial intelligence. (JN)
Descriptors: Artificial Intelligence, Chemistry, College Science, Computer Software
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Smith, Richard L. – Journal of Computers in Mathematics and Science Teaching, 1986
Annotates reference material on artificial intelligence, mostly at an introductory level, with applications to education and learning. Topics include: (1) programing languages; (2) expert systems; (3) language instruction; (4) tutoring systems; and (5) problem solving and reasoning. (JM)
Descriptors: Abstracts, Annotated Bibliographies, Artificial Intelligence, College Science
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Roberge, P. R. – Chemical Engineering Education, 1990
Discussed are expert systems development and teaching, the representation and processing of knowledge, knowledge representation in chemical engineering, and expert systems in chemical engineering. The seven phases of expert system development are illustrated. (CW)
Descriptors: Artificial Intelligence, Chemical Engineering, Chemistry, Cognitive Development
Gardner, Howard – 1985
A cadre of thinkers called cognitive scientists has been investigating some of the same issues that first possessed the Greeks. As did the Greeks, they seek to understand what is known, ponder the sources of knowledge, conjecture about the various vehicles of knowledge, reflect on language, and speculate on the nature of the activity of knowing.…
Descriptors: Anthropology, Artificial Intelligence, Cognitive Psychology, College Science
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Hoggard, Franklin R. – Journal of Chemical Education, 1987
Suggests a method for solving verbal problems in chemistry using a linguistic algorithm that is partly adapted from two artificial intelligence languages. Provides examples of problems solved using the mental concepts of translation, rotation, mirror image symmetry, superpositioning, disjoininng, and conjoining. (TW)
Descriptors: Algorithms, Artificial Intelligence, Chemical Nomenclature, Chemical Reactions
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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
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Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1989
Compares BASIC and LOGO systems in developing artificial intelligence systems. Provides listings of programs used for translating and sentence making. Describes methodology and compares the BASIC and LOGO programs. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Uses in Education
Corbett, Albert – Technological Horizons in Education, 1988
Discusses a research project that uses artificial intelligence techniques to help teach programing. Describes principles and implementation of the LISP Intelligent Tutoring System (LISPITS). Explains how the artificial intelligence technique was developed and possible future research. (MVL)
Descriptors: Artificial Intelligence, College Science, Computer Assisted Instruction, Computer Science
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Walsh, John – Science, 1986
Describes the current states of artificial intelligence in education and assesses probable future developments and problems. Reviews the National Science Foundation's strategy to aid research in the area. (JM)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Assisted Instruction
Hankins, George. – Engineering Education, 1987
Describes the novice-to-expert model of human learning and compares it to the recent advances in the areas of artificial intelligence and expert systems. Discusses some of the characteristics of experts, proposing connections between them with expert systems and theories of left-right brain functions. (TW)
Descriptors: Artificial Intelligence, Brain Hemisphere Functions, College Science, Engineering Education
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Settle, Frank A., Jr. – Journal of Chemical Education, 1987
Describes the construction of expert computer systems using artificial intelligence technology and commercially available software, known as an expert system shell. Provides two applications; a simple one, the identification of seven white substances, and a more complicated one involving the qualitative analysis of six metal ions. (TW)
Descriptors: Artificial Intelligence, Chemical Analysis, Chemistry, College Science
Smith, Karl A. – Engineering Education, 1987
Differentiates between learning efficiency (enhancing the rate of learning) and learning effectiveness (enhancing the mastery and retention of facts, concepts, and relationships). Discusses some of the contributions of knowledge engineering to metalearning. Provides a concept map for constructing knowledge bases, along with some possible…
Descriptors: Artificial Intelligence, College Science, Concept Formation, Concept Mapping
New Mexico State Univ., Las Cruces. – 1985
Research findings on college instruction and technology and the future are discussed in 15 papers from the first Regional Conference on University Teaching at New Mexico State University. Titles and authors are as follows: "Technology, Teaching, and the Future" (William F. May); "Bauhaus Experience: A Team Method of Teaching Technology" (Euguene…
Descriptors: Advance Organizers, Artificial Intelligence, College Instruction, College Science
Beniger, James R. – Science, Technology & Society, 1987
Provides the syllabus for a graduate course in communication technologies and social change offered at the University of California (Annenberg School of Communications). Includes a course overview, a list of readings, and a weekly breakdown of topics and assignments. Addresses the preindustrial, industrial and information societies. (TW)
Descriptors: Artificial Intelligence, College Science, Communications, Computers
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