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Mislevy, Robert J.; Steinberg, Linda S.; Breyer, F. Jay; Almond, Russell G.; Johnson, Lynn – 1998
To function effectively as a learning environment, a simulation system must present learners with situations in which they use relevant knowledge, skills, and abilities. To function effectively as an assessment, such a system must additionally be able to evoke and interpret observable evidence about targeted knowledge in a manner that is…
Descriptors: Cognitive Processes, Cognitive Tests, Computer Assisted Testing, Computer Simulation
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Buhner, Markus; Kroner, Stephan; Ziegler, Matthias – Intelligence, 2008
The relationship between working memory, intelligence and problem-solving is explored. Wittmann and Suss [Wittmann, W.W., & Suss, H.M. (1999). Investigating the paths between working memory, intelligence, knowledge, and complex problem-solving performances via Brunswik symmetry. In P.L. Ackerman, R.D. Roberts (Ed.), "Learning and individual…
Descriptors: Undergraduate Students, Intelligence, Problem Solving, Short Term Memory
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Borst, Richard – Science Teacher, 1989
Describes a kangaroo simulation which can be adapted for use with radio tracking activities for other animals. Outlines procedures and information to help implement the activity. Provides a map of Australia, calculations, and sample kangaroo movement data. (RT)
Descriptors: Animal Behavior, Biological Sciences, Computer Simulation, Ecology
Joyce, Robert D. – Training in Business and Industry, 1971
Descriptors: Decision Making, Guidelines, Management Development, Problem Solving
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Oser, R. L.; Gualtieri, J. W.; Cannon-Bowers, J. A.; Salas, E. – Computers in Human Behavior, 1999
Discusses how to train teams in problem-solving skills. Topics include team training, the use of technology, instructional strategies, simulations and training, theoretical framework, and an event-based approach for training teams to perform in naturalistic environments. Contains 68 references. (Author/LRW)
Descriptors: Computer Simulation, Problem Solving, Team Training, Training Methods
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Peltenburg, Marjolijn; van den Heuvel-Panhuizen, Marja; Doig, Brian – British Journal of Educational Technology, 2009
This paper reports a study aimed at revealing special-educational-needs pupils' learning potential by means of an ICT-based assessment including a dynamic visual tool that might help pupils when solving mathematics problems. The study focused on subtraction problems up to 100, which require "borrowing". These problems, in which the value…
Descriptors: Foreign Countries, Subtraction, Special Needs Students, Special Education
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Kim, G. D.; Engelhardt, J. – International Journal of Mathematical Education in Science and Technology, 2007
A k-dimensional integer point is called visible if the line segment joining the point and the origin contains no proper integer points. This note proposes an explicit formula that represents the number of visible points on the two-dimensional [1,N]x[1,N] integer domain. Simulations and theoretical work are presented. (Contains 5 figures and 2…
Descriptors: Numbers, Number Concepts, Mathematical Formulas, Problem Solving
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Brown, I. Foster – Journal of Science Education and Technology, 2008
Learning to question is essential for determining pathways of conservation and development in southwestern Amazonia during a time of rapid global environmental change. Teaching such an approach in graduate science programs in regional universities can be done using play-acting and simulation exercises. Multiple working hypotheses help students…
Descriptors: Science Programs, Teaching Methods, Problem Solving, Graduate Students
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Dabbagh, Nada; Blijd, Cecily Williams – Journal of Educational Multimedia and Hypermedia, 2009
This study is a third in a series of studies that examined students' information seeking and problem solving behaviors while interacting with one of two types of web-based representations of an ill-structured instructional design case: hierarchical (tree-like) and heterarchical (network-like). A Java program was used to track students' hypermedia…
Descriptors: Medical Education, Graduate Students, Quasiexperimental Design, Problem Based Learning
Krumboltz, John D.; Bergland, Bruce – Educ Technol, 1969
Descriptors: Career Choice, Career Planning, Employment Experience, Problem Solving
Haefele, Donald L. – 1974
This study investigates the performance of students in a simulation correlated with selected measures of their personality, attitudes toward children and teaching, creativity, and effective reasoning in an attempt to discover variables which identify good and poor solvers of teaching problems. Thirty-six elementary education majors were…
Descriptors: Education Majors, Performance Criteria, Performance Factors, Problem Solving
Myers, Betty – 1974
This is a model to find out if a problem-solving process can be specified clearly enough to be modeled by a computer, thus providing a simulation which can be used to train preservice teachers to use this process to solve classroom problems. In the model, the teacher trainee must respond to eight successive questions which form a strategy to…
Descriptors: Classrooms, Computer Programs, Preservice Teacher Education, Problem Solving
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Simon, Herbert A.; Reed, Stephen K. – Cognitive Psychology, 1976
A computer simulation model was fitted to human laboratory data for the Missionaries and Cannibals task to explain the effects upon problem performance of giving a hint and the effect of solving problems a second time after a successful solution has been achieved. (Author/DEP)
Descriptors: Computers, Individual Differences, Models, Problem Solving
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Ramsdell, M. L. – Family Coordinator, 1973
This article describes some family images and approaches to problems found in some of television's daytime soap operas'' and raises the question of whether viewers would choose to follow fantasy each day if given other options. (Author)
Descriptors: Family Life, Family Problems, Fantasy, Problem Solving
Fetsch, Robert J.; Quick, Samuel – Illinois Teacher of Home Economics, 1983
Describes "Pioneers of the '80s," a simulation exercise that can help people experience one of the worst possible outcomes of our economic problems and then devise creative ways of response and prevention. (JOW)
Descriptors: Economics Education, Home Economics, Problem Solving, Simulation
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