Teaching and Learning Generic Modeling and Reasoning Skills
- 1 March 1998
- journal article
- research article
- Published by Taylor & Francis in Interactive Learning Environments
- Vol. 5 (1) , 33-51
- https://doi.org/10.1080/1049482980050103
Abstract
Scientists, engineers, and technicians are frequently called upon to apply their expertise to new domains. We hypothesize that the knowledge needed to foster such transfer is: (a) an understanding of forms of models that are applicable in multiple domains; (b) inquiry skills for developing models and evaluating their appropriateness within a domain; and (c) generic reasoning strategies used in applying models when solving problems, such as those used when designing or troubleshooting a system. In this paper, we present examples of each of these forms of expertise and how they can be developed, based upon our work on creating conceptual models that facilitate the learning of physics, on the teaching of scientific inquiry and modeling skills in urban classrooms, and on the design of computer‐based learning environments for teaching electronic troubleshooting. We conclude by drawing some instructional implications of this view of expertise that are not often followed in the design of computer‐based learning environments.Keywords
This publication has 9 references indexed in Scilit:
- ThinkerTools: Causal Models, Conceptual Change, and Science EducationCognition and Instruction, 1993
- Conceptual Models for Understanding the Behavior of Electrical CircuitsPublished by Springer Nature ,1993
- Causal model progressions as a foundation for intelligent learning environmentsArtificial Intelligence, 1990
- Modeling instruction in mechanicsAmerican Journal of Physics, 1987
- Learning to program = learning to construct mechanisms and explanationsCommunications of the ACM, 1986
- Reciprocal Teaching of Comprehension-Fostering and Comprehension-Monitoring ActivitiesCognition and Instruction, 1984
- Reasoning from first principles in electronic troubleshootingInternational Journal of Man-Machine Studies, 1983
- Structure‐Mapping: A Theoretical Framework for Analogy*Cognitive Science, 1983
- Categorization and Representation of Physics Problems by Experts and Novices*Cognitive Science, 1981