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Smith, C. O.; Kardos, Geza – Engineering Education, 1987
Reviews approaches taken in meeting the design requirements in engineering programs. Highlights the value and applications of student involvement in design projects. Explains the features of an engineering case and advocates their use as an alternative or supplement to design projects. (ML)
Descriptors: Case Studies, College Science, Engineering Education, Higher Education
Felder, Richard M. – Engineering Education, 1987
Offers perspectives and specific ways of developing and nurturing critical and creative problem-solving skills with engineering students. Provides examples of exercises and approaches that aim in stimulating creativity and in providing understanding of course material. (ML)
Descriptors: College Science, Creative Activities, Engineering Education, Higher Education
Dansereau, Donald F. – Engineering Education, 1987
Discusses some recent research dealing with the enhancement of an individual's capacity for acquiring and using information through direct instruction and training in appropriate information processing strategies. Describes a learning strategy system known as MURDER, and relates its use to the learning of scientific and technical material. (TW)
Descriptors: College Science, Engineering Education, Experiential Learning, Higher Education
Kiewra, Kenneth A. – Engineering Education, 1987
Argues that most teachers do not understand the nature of human memory. Presents an informal introduction to human memory, including information on long-term retention, prior knowledge, retrieval, and cues. States that instructors can design memory-compatible instruction that makes recording and retrieval of new knowledge easier. (TW)
Descriptors: College Science, Cues, Encoding (Psychology), Engineering Education
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
Staiger, Eugene H. – Engineering Education, 1987
Reports on an investigation into characterizing the guided design instructional method in engineering education using Jungian typology to evaluate specific teaching-learning interactions. Proposes that the guided design method offers a well-balanced learning process which accommodates different learning styles and teaches decision making. (TW)
Descriptors: Auditory Perception, Cognitive Style, College Science, Decision Making
Culver, Richard S. – Engineering Education, 1987
Describes a self-managed learning approach designed to help engineering students take charge of their own learning. Discusses marker events, exploratory learning versus linear instruction, knowledge through self-discovery, information retrieval, production through writing and speaking, and promoting a mature response. (TW)
Descriptors: College Science, Discovery Learning, Discovery Processes, 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
Stice, James E. – Engineering Education, 1987
Describes the learning style inventory and learning cycle developed by David Kolb. Discusses the learning cycle's four stages as concrete experience, reflective observation, abstract conceptualization, and active experimentation. Offers an example from a chemical engineering class in which Kolb's ideas are used in an effort to improve instruction.…
Descriptors: Chemical Engineering, Cognitive Style, College Science, Engineering Education