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Finkel, Elizabeth A. – Journal of Research in Science Teaching, 1996
Examines ways in which students collaborate to construct, use, and revise conceptual and strategic knowledge as they solve complex genetics problems. Concludes that students used three types of knowledge during model revision: knowledge of genetics, knowledge of the process of model revision, and knowledge of their own problem-solving strategies…
Descriptors: Constructivism (Learning), Cooperative Learning, Genetics, Models
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Smith, Mike U.; Good, Ron – Journal of Research in Science Teaching, 1984
Examined the problem-solving performances of novices (11 undergraduates) and experts (9 graduate students and instructors), comparing them in terms of background expertise and problem-solving success. Also examined problem-solving behaviors reported in other domains and determined whether or not genetics is a fruitful area for problem-solving…
Descriptors: College Science, Genetics, Heuristics, Higher Education
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Cavallo, Ann M. L. – Journal of Research in Science Teaching, 1996
Explores relationships among school students' (n=189) meaningful learning orientation, reasoning ability and acquisition of meaningful understandings of genetics topics, and ability to solve genetics problems. Results indicate that meaningful learning orientation best predicted students' understanding of genetics interrelationships while reasoning…
Descriptors: Academic Achievement, Genetics, Problem Solving, Scientific Concepts
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Hackling, Mark W.; Lawrence, Jeanette A. – Journal of Research in Science Teaching, 1988
Compares experts', advanced students', and novice students' use of genetics knowledge to generate and test hypotheses while solving genetic pedigree problems. Reports that experts identified more critical cues, tested more hypotheses, were more rigorous in the falsification of alternative hypotheses, and were more flexible to their solving…
Descriptors: College Science, Genetics, Higher Education, Hypothesis Testing
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Smith, Mike U. – Journal of Research in Science Teaching, 1988
Examines successful/unsuccessful distinctions between novices and experts in problem solving in terms of genetic knowledge, use of production rules, strategy selection, use of critical cues, use of logic, understanding of probability, and the thinking process itself. Suggests five implications for genetics instruction and provides three problems…
Descriptors: Abstract Reasoning, Biology, College Science, Genetics
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Smith, Mike U. – Journal of Research in Science Teaching, 1992
Compares 7 biology faculty members, 9 genetic counselors, and 26 undergraduate students according to both expertise and problem-solving success within the domain of genetics. Findings are consistent with the hypothesis that as expertise is attained, the individual restructures knowledge into a framework based upon the critical dimensions which…
Descriptors: Biology, Cognitive Structures, Cognitive Style, Comparative Analysis
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Smith, Mike U.; Sims, O. Suthern, Jr. – Journal of Research in Science Teaching, 1992
Review of literature concerning problem solving in genetics and Piagetian stage theory. Authors conclude the research suggests that formal-operational thought is not strictly required for the solution of the majority of classical genetics problems; however, some genetic concepts are difficult for concrete operational students to understand.…
Descriptors: Biology, Developmental Stages, Educational Research, Genetics
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Slack, Susie Johnston; Stewart, Jim – Journal of Research in Science Teaching, 1990
Investigated were student problem-solving strategies in an attempt to develop a model of student performance. The problem-solving strategies used by 30 high school students were analyzed. Suggestions for improved instruction in solving genetics problems are provided. (CW)
Descriptors: Biological Sciences, Computer Software, Educational Improvement, Genetics
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Browning, Mark E.; Lehman, James D. – Journal of Research in Science Teaching, 1988
Describes a computer program presenting four genetics problems to monitor the problem solving process of college students. Identifies three main areas of difficulty: computational skills; determination of gametes; and application of previous learning to new situations. (Author/YP)
Descriptors: Biology, College Science, Computer Assisted Testing, Computer Software
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Hafner, Bob; And Others – Journal of Research in Science Teaching, 1989
Criticizes the Mitchell and Lawson (1988) report from the viewpoint of individual interview method. Provides Lawson's reply to the comment by showing differences in research philosophy and methods. (YP)
Descriptors: Cognitive Development, College Science, Educational Research, Genetics
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Simmons, Patricia E.; Lunetta, Vincent N. – Journal of Research in Science Teaching, 1993
The problem-solving behaviors and genetics concepts employed by experts and novices during interaction with the computer simulation CATLAB, were examined. Thirteen subjects (3 experts and 10 novices) investigated a common hypothesis on a specific genetic trait during the computer activity. Using naturalistic research methods, general patterns of…
Descriptors: Biology, Computer Assisted Instruction, Computer Simulation, Educational Research