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Koen, Billy Vaughn – Engineering Education, 1984
Defines the engineering method by: (1) giving a preliminary definition and examples of its essential term (heuristics); (2) comparing the definition to a popular alternative; and (3) presenting a simple form of the definition. This definition states that the engineering method is the use of engineering heuristics. (JN)
Descriptors: Definitions, Engineering, Engineering Education, Heuristics
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
Andrews, James G. – Engineering Education, 1987
Examines some of the assumptions associated with attempts to define the "engineering method." Critiques a previously stated definition of this method, and offers an alternative definition that attempts to include the ideas put forth in the previous definition. Discusses the use of engineering heuristics in both definitions. (TW)
Descriptors: Cognitive Structures, College Science, Convergent Thinking, Critical Thinking
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