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Dutton, Nicole A. M. – American Journal of Distance Education, 2023
An increase in online science course offerings requires a closer evaluation of the online laboratory experience. While it has been established that students can successfully learn from online laboratory simulations, there is a lack of knowledge regarding factors that impact student success. Grounded in the constructivist learning theory, a unique…
Descriptors: Online Courses, Science Instruction, Science Laboratories, Microbiology
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Blikstein, Paulo; Fuhrmann, Tamar; Salehi, Shima – Journal of Science Education and Technology, 2016
In this paper, we investigate an approach to supporting students' learning in science through a combination of physical experimentation and virtual modeling. We present a study that utilizes a scientific inquiry framework, which we call "bifocal modeling," to link student-designed experiments and computer models in real time. In this…
Descriptors: High School Students, Secondary School Science, Science Education, Models
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Carvajal-Rodriguez, Antonio – Biochemistry and Molecular Biology Education, 2012
Mutate is a program developed for teaching purposes to impart a virtual laboratory class for undergraduate students of Genetics in Biology. The program emulates the so-called fluctuation test whose aim is to distinguish between spontaneous and adaptive mutation hypotheses in bacteria. The plan is to train students in certain key multidisciplinary…
Descriptors: Computer Uses in Education, Computer Simulation, Genetics, Microbiology
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Day, M. J.; And Others – Journal of Biological Education, 1985
An interactive computer program in microbial genetics is described. The simulation allows students to work at their own pace and develop understanding of microbial techniques as they choose donor bacterial strains, specify selective media, and interact with demonstration experiments. Sample questions and outputs are included. (DH)
Descriptors: College Science, Computer Simulation, Computer Software, Genetics
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Lewington, J.; And Others – Journal of Biological Education, 1985
Describes a computer simulation program which helps students learn the main biochemical tests and profiles for identifying medically important bacteria. Also discusses the advantages and applications of this type of approach. (ML)
Descriptors: Biochemistry, Biomedicine, College Science, Computer Simulation
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Konopka, Allan; Furbacher, Paul; Gedney, Clark – American Biology Teacher, 1999
Advocates using computer-simulated learning environments to allow students to develop their own problem-solving rules when it comes to collecting and evaluating scientific data. Describes the use of "Identibacter interactus" to simulate identification of an unknown microorganism. (WRM)
Descriptors: Biology, Computer Simulation, Higher Education, Microbiology