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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

Hashimoto, Irvin – College Composition and Communication, 1985
Discusses factors that interfere with students' effective use of heuristic procedures for invention in composition. (HTH)
Descriptors: Heuristics, Higher Education, Teaching Methods, Writing Instruction

Landa, Lev N. – Contemporary Educational Psychology, 1984
The algo-heuristic theory is concerned with identifying unobservable cognitive processes and their unconscious component cognitive operations, including learning how to describe them algorithmically and heuristically, and how to devise specific instructional tools (algorithmic and heuristic) to develop cognitive processes much faster. (BW)
Descriptors: Algorithms, Cognitive Processes, Heuristics, Learning Processes
Woldbeck, Tanya – 1998
This paper outlines two types of discriminant analysis, predictive discriminant analysis (PDA) and descriptive discriminant analysis (DDA). Important differences between PDA and DDA are introduced and discussed using a heuristic data set, specifically indicating the portions of the Statistical Package for the Social Sciences (SPSS) output relevant…
Descriptors: Computer Software, Discriminant Analysis, Heuristics, Mathematical Models
Erwin, Susan L.; Erwin, John R. – 2003
This paper considers the use of heuristic methodology as a research vehicle for new science investigations in education. The paper describes heuristic methodology and its use as a means of new science-based research in schools. It also describes how heuristic methodology was used in a 2002 study to explain educational practices through the…
Descriptors: Chaos Theory, Heuristics, Models, Qualitative Research
Ginat, David – JCSE Online, 2002
Discusses algorithmic problem solving in computer science education, particularly algorithmic insight, and focuses on the relevance and effectiveness of the heuristic simplifying constraints which involves simplification of a given problem to a problem in which constraints are imposed on the input data. Presents three examples involving…
Descriptors: Algorithms, Computer Science Education, Heuristics, Mathematical Formulas

Thelwall, Mike – Journal of the American Society for Information Science and Technology, 2002
Discussion of Web linking behavior and how to define a Web document focuses on a study of United Kingdom university Web sites that investigated the association between research productivity of the university and the number of incoming links from its peers' Web sites. Defines three alternative heuristics for counting links. (LRW)
Descriptors: Documentation, Foreign Countries, Heuristics, Higher Education

Rousseau, Ronald – Journal of the American Society for Information Science, 1992
Proposes a mathematical model to explain the observed concentration or diversity of nominal classes in information retrieval systems. The Lorenz Curve is discussed, Information Production Process (IPP) is explained, and a heuristic explanation of circumstances in which the model might be used is offered. (30 references) (LRW)
Descriptors: Heuristics, Information Retrieval, Mathematical Models, Research Needs

Grosswald, Sarina J. – Journal of Continuing Education in the Health Professions, 1992
Three experienced and eight novice physicians were asked to solve three problems. Results indicated that the ability to incorporate contextual information contributed to effective solutions. Experienced physicians tended to use more inclusive approaches, although both groups demonstrated premature diagnostic bias. (SK)
Descriptors: Algorithms, Experience, Heuristics, Physicians

Kynell, Teresa – Teaching English in the Two-Year College, 1993
Demonstrates how the tragedy of the 1986 space shuttle "Challenger" provides an example of how communication through memos and letters concerning O-ring problems went awry. Presents some methods by which the technical writing teacher might incorporate this material into their writing curricula. (HB)
Descriptors: English Instruction, Heuristics, Higher Education, Technical Writing

Stanovich, Keith E.; West, Richard F. – Cognitive Psychology, 1999
Examines tasks from the heuristics and biases literature in light of the understanding/acceptance principle of P. Slovic and A. Tversky (1974). Shows how the variation and instability of responses can be analyzed to yield inferences about why descriptive and normative models of human reasoning and decision making sometimes do not coincide.…
Descriptors: Bias, Comprehension, Decision Making, Heuristics

Dougherty, Michael R. P.; Gettys, Charles F.; Ogden, Eve E. – Psychological Review, 1999
Describes a new theory of likelihood judgments based on D. L. Hintzman's (1984, 1988) MINERVA2 memory model. The model, MINERVA-DM (decision making), accounts for a wide range of likelihood-judgment phenomena. Extends the model to expert-probability judgment and shows how MINERVA-DM can account for both good and poor calibration (overconfidence)…
Descriptors: Cognitive Processes, Decision Making, Heuristics, Mathematical Models

Haller, Cynthia R. – Written Communication, 2000
Analyzes how one disciplinary design heuristic influenced the production of both a computer system and a specification text for the system to investigate how heuristics used for rhetorical invention and design might be related. Indicates that disciplinary heuristics and rhetorical topics overlap in design; however, the rhetorical character of…
Descriptors: Computer System Design, Heuristics, Higher Education, Rhetorical Invention

de Jong, Ton; van Joolingen, Wouter R. – Review of Educational Research, 1998
The observed effectiveness and efficacy of discovery learning in simulated environments is reviewed, along with problems learners may encounter in discovery learning. How simulations can be combined with instructional support is discussed. Successful discovery learning is related to reasoning from hypotheses, applying the discovery process, and…
Descriptors: Computer Simulation, Discovery Learning, Educational Environment, Heuristics

Campbell, Kathleen T.; Taylor, Dianne L. – Journal of Experimental Education, 1996
A hypothesized data set is used to illustrate that canonical correlation analysis is a general linear model, subsuming other parametric procedures as special cases. Specific techniques included in analyses are t tests, Pearson correlation, multiple regression, analysis of variance, multivariate analysis of variance, and discriminant analysis. (SLD)
Descriptors: Analysis of Variance, Correlation, Heuristics, Multivariate Analysis