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Pizzini, Edward L.; And Others – Science Education, 1989
This article discusses problem solving and how science educators can integrate problem solving into their instruction. The Search, Solve, Create, and Share (SSCS) model was developed based on the findings of problem solving research. (YP)
Descriptors: Cognitive Processes, Heuristics, Learning Strategies, Models
Saul, E. Wendy – International Reading Association (NJ3), 2004
This collection brings together the best minds in education to explore the literacy-science connection and to reduce the lack of understanding between the science and humanities communities. The articles cover a range of topics and perspectives, from quasitheoretical pieces and literature reviews to case studies and evaluations of particular…
Descriptors: Science Instruction, Literacy, Research Methodology, Curriculum Development
Koen, Billy Vaughn – Engineering Education, 1987
Proposes that there is a universal method for all realms of knowledge. Reviews Descartes's definition of the universal method, the engineering definition, and the philosophical basis for the universal method. Contends that the engineering method best represents the universal method. (ML)
Descriptors: Cognitive Structures, College Science, Engineering, Engineering Education

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

Ferree, Rob A.; And Others – Journal of Geological Education, 1988
Describes a deterministic computer model that incorporates: (1) initial framework composition; (2) abrasion factors for quartz, feldspar, and rock fragments; and (3) a fragmentation ratio for rock fragments to simulate the recycling of coastal sands by rivers and beaches. (TW)
Descriptors: College Science, Computer Assisted Instruction, Computer Simulation, Computer Uses in Education

Bodner, George M.; McMillen, Theresa L. B. – Journal of Research in Science Teaching, 1986
Examines the hypothesis that there are preliminary stages in problem solving that are often neglected in teaching chemistry. Discusses correlations calculated between the student's ability to handle disembedding and cognitive restructuring tasks in the spatial domain and ability to solve chemistry problems. (TW)
Descriptors: Algorithms, Chemistry, Cognitive Processes, College Science

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
Konold, Clifford – 1987
This paper illustrates a model of the layperson's reasoning patterns under conditions of uncertainty, the "outcome approach," which was developed from analysis of videotaped problem-solving interviews with 16 undergraduate students. According to the outcome approach, the goal in questions of uncertainty is to predict the outcome of an…
Descriptors: Cognitive Processes, Cognitive Structures, College Science, Heuristics

Anamuah-Mensah, J. – Journal of Research in Science Teaching, 1986
Describes an investigation of the strategies used by 47 high school students in solving volumetric analysis problems in chemistry. Reports that students in the high ability group mainly used the "formula" approach, while those in the low ability group tended to use the "proportional" approach to problem solving. (TW)
Descriptors: Chemistry, Cognitive Ability, Cognitive Development, Concept Formation
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
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

Roth, Wolff-Michael – School Science and Mathematics, 1992
Provides a rationale for a learning environment in science classrooms that integrates science, mathematics, and technology while solving authentic problems. Describes activities that can be used in such an environment and presents data regarding students' attitudes toward the described activities. (MDH)
Descriptors: Calculators, Computer Assisted Instruction, Computers, Discovery Learning