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Mulder, Yvonne G.; Bollen, Lars; de Jong, Ton; Lazonder, Ard W. – Journal of Research in Science Teaching, 2016
Creating executable computer models is a potentially powerful approach to science learning. Learning by modelling is also challenging because students can easily get overwhelmed by the inherent complexities of the task. This study investigated whether offering partially worked-out models can facilitate students' modelling practices and promote…
Descriptors: Science Instruction, Biochemistry, Pretests Posttests, Computer Simulation

Hounshell, Paul B.; Hill, Stanford R., Jr. – Journal of Research in Science Teaching, 1989
This study examined the impact of a biology course emphasizing computer simulation on student achievement and student attitudes toward science. The students in the experimental group were placed in a class limited to 16 students to have 2 students to each computer. (YP)
Descriptors: Attitudes, Biology, Computer Assisted Instruction, Computer Simulation
Problem-Solving Behaviors during a Genetics Computer Simulation: Beyond the Expert/Novice Dichotomy.

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

Rivers, Robert H.; Vockell, Edward – Journal of Research in Science Teaching, 1987
This study investigated the effectiveness of computer simulations for enhancing the problem solving skills of high school students. Summaries of three related studies are presented. Results indicate that the computerized simulations enabled students to master the objectives of a biology course as effectively as traditional methods. (ML)
Descriptors: Biology, Computer Assisted Instruction, Computer Simulation, Computer Uses in Education