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Liebman-Kleine, JoAnne – ELT Journal, 1987
A small ethnographic study determining the writing strategy preferences of advanced English as a second language students (N=48) found that students' most common preferences were hierarchical treeing or planning. Open-ended exploratory techniques were also popular. The least common preference was for systematic heuristics. (Author/CB)
Descriptors: Advanced Students, Cognitive Style, College Students, English (Second Language)
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Olson, Gary A – Journal of Teaching Writing, 1985
Addresses the absence of a diagnostic instrument to help determine if a student is experiencing problems with invention. Provides two diagnostic models, one based on L. Odell's intellectual strategies, the other on the author's extrapolation of criteria from tacit informal diagnostic estimations. Includes evaluation of the instruments by 40…
Descriptors: Classroom Techniques, Diagnostic Teaching, Diagnostic Tests, Freshman Composition
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Meijer, Joost; Riemersma, Fre – Instructional Science, 1986
Presents thinking-aloud protocols from secondary pupils solving arithmetic story and geometrical problems and analyzes their protocols by using interpretation models founded on a general problem-solving model. A word problem solving simulation is also used to further explicate processes pupils use to solve mathematical tasks. (Author/MBR)
Descriptors: Algorithms, Computer Simulation, Educational Theories, Foreign Countries
Tennyson, Robert – Journal of Instructional Development, 1984
Reviews educational applications of artificial intelligence and presents empirically-based design variables for developing a computer-based instruction management system. Taken from a programmatic research effort based on the Minnesota Adaptive Instructional System, variables include amount and sequence of instruction, display time, advisement,…
Descriptors: Artificial Intelligence, Bayesian Statistics, Computer Assisted Instruction, Feedback
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DeSarbo, Wayne S.; And Others – Psychometrika, 1996
A stochastic multidimensional unfolding (MDU) procedure is presented to represent individual differences in phased or sequential decision processes spatially. A Monte Carlo analysis demonstrates estimation proficiency and the appropriateness of the proposed model selection heuristic, and an application to capture awareness, consideration, and…
Descriptors: Cognitive Processes, Consumer Economics, Decision Making, Estimation (Mathematics)
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Mantovani, Bernardo – Biochemical Education, 1995
Argues against the merely descriptive presentation frequently used in teaching biochemistry and in favor of a constructivist approach called heuristic-teleonomic, which unites the process of discovery with adaptation to functional ends. Discusses difficulties inherent to the nature of biochemistry, including the conflict between acquiring…
Descriptors: Active Learning, Biochemistry, Classroom Techniques, Constructivism (Learning)
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de Monchy, Allan R.; And Others – Analytical Chemistry, 1988
Discusses two computer problem solving programs: rule-based expert systems and decision analysis expert systems. Explores the application of expert systems to automated chemical analyses. Presents six factors to consider before using expert systems. (MVL)
Descriptors: Artificial Intelligence, Chemical Analysis, Chemistry, College Science
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Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1989
Compares a program written both in BASIC and LOGO on its inferential and decision making ability. Explains steps in each program and how deductions and decisions are made. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Software
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Saroyan, Alenoush; Geis, George L. – Instructional Science, 1988
Description of study conducted to establish a profile of guidelines presented in professional literature for the evaluation and revision of instructional materials emphasizes content, design, and presentation. Formative and summative evaluation are discussed; input from users, learners, and experts is described; and appendixes include a list of…
Descriptors: Check Lists, Comparative Analysis, Evaluation Criteria, Formative Evaluation
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Waldrop, M. Mitchell – Science, 1988
Traces the history and function of State, Operator, And Result (SOAR), a general-purpose artificial intelligence program for solving problems. The SOAR can "chunk" the result of a subgoal and learn from previous experiences. The SOAR could be applied to various expert systems. (YP)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science
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Taback, Stanley F. – School Science and Mathematics, 1992
Describes three components of a seminar in mathematical problem solving for preservice mathematics teachers: (1) a cognitive component that accents particular phases of problem solving; (2) an affective component that allows for observation of skillful problem solvers; and (3) an investigative component that provides for independent study and…
Descriptors: Cognitive Development, Discovery Learning, Heuristics, Higher Education
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Cochener, David; Cochener, Debbie – School Science and Mathematics, 1993
Describes the process of problem identification, data collection, and generalization in a mathematical experiment to find the speed at which a bug travels at the end of a fan blade. Presents the learning outcomes of the experiment and possible implications of using this teaching method. (MDH)
Descriptors: Elementary Secondary Education, Experiments, Geometric Concepts, Heuristics
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West, Bryan A. – Journal of Geography, 2003
The value of GIS within school curricula seems well perceived but ill-substantiated. This paper discusses the role of GIS in the development of higher order thinking skills and in motivating student learning. It then reports on attitudinal surveys undertaken before and after student exposure to GIS-related tasks. The tasks formed part of four…
Descriptors: Student Attitudes, Thinking Skills, Academic Ability, Learning Motivation
Arnone, Marilyn P.; Small, Ruth V. – 1995
While the ARCS (Attention, Relevance, Confidence, Satisfaction) model has provided educators with a heuristic approach to generally increasing the motivational appeal of instruction, it may also provide a model for stimulating and sustaining curiosity in particular. Such a model is of great use to educators who are concerned with encouraging…
Descriptors: Arousal Patterns, Attention, Behavioral Science Research, Curiosity
Galvin, Patrick; Ogawa, Rodney T. – 1992
The conceptual orientation that guides the University of Utah's field-based doctoral program in educational administration is described in this paper, with a focus on making judgments within the decision-making process. The first part explains the rationale for adopting the conceptual orientation and the second part describes the normative model…
Descriptors: Administrator Education, Cognitive Processes, Cognitive Structures, Decision Making
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