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Sangeeta Nischal; Maria Zulema Cabail; Kinning Poon – Journal of Biological Education, 2024
Due to the COVID-19 pandemic and the stay-at-home order implemented by the New York State Governor, the introductory undergraduate biology courses were changed to an at-home remote learning modality. To provide conceptual learning and hands-on experience, the second semester introductory biology laboratory course utilised a multi-modal learning…
Descriptors: Computer Simulation, Student Projects, Introductory Courses, Biology
Wildan, Ardan; Cheong, Brandon Huey-Ping; Xiao, Kevin; Liew, Oi Wah; Ng, Tuck Wah – Journal of Biological Education, 2020
The provision of hands-on wet lab training for students to perform micro-organism proliferation experiments is useful for experiential skills development. However, the risk of laboratory-acquired infections arising from inadvertent ingestion, inhalation or skin penetration of these micro-organisms presents a safety concern. To obviate this risk,…
Descriptors: Science Instruction, Hands on Science, Biology, Computer Simulation
Wanford, Joe; Aidley, Jack; Bayliss, Chris; Ketley, Julian; Goodwin, Mark – Journal of Biological Education, 2018
Mutation, diversity, natural selection and the biology of human pathogens (including antibiotic resistance) are key features of the biosciences curriculum at A Level and undergraduate study. Few resources exist to allow students to engage with these topics in an interactive manner. This paper describes an interactive, online simulation of mutation…
Descriptors: Biology, Science Instruction, College Science, Undergraduate Study

Murphy, P. J. – Journal of Biological Education, 1983
Describes an exercise in biometrical genetics based on the noninteractive use of a computer simulation of a wheat hydridization program. Advantages of using the material in this way are also discussed. (Author/JN)
Descriptors: Biology, College Science, Computer Simulation, Genetics

Wood, Peter – Journal of Biological Education, 1984
Describes five computer programs: four simulations of genetic and physical mapping experiments and one interactive learning program on the genetic coding mechanism. The programs were originally written in BASIC for the VAX-11/750 V.3. mainframe computer and have been translated into Applesoft BASIC for Apple IIe microcomputers. (JN)
Descriptors: College Science, Computer Simulation, Computer Software, DNA

Soddell, J. A.; Seviour, R. J. – Journal of Biological Education, 1985
Describes an exercise which uses a computer program (written for Commodore 64 microcomputers) that accepts data obtained from identifying bacteria, calculates similarity coefficients, and performs single linkage cluster analysis. Includes a program for simulating bacterial cultures for students who should not handle pathogenic microorganisms. (JN)
Descriptors: Classification, College Science, Computer Simulation, Computer Software

Kidd, N. A. C. – Journal of Biological Education, 1984
Describes an interactive simulation model which can be used to demonstrate population growth with discrete or overlapping populations and the effects of random, constant, or density-dependent mortality. The program listing (for Commodore PET 4032 microcomputer) is included. (Author/DH)
Descriptors: Biology, College Science, Computer Simulation, Computer Software

McLellan, A. R.; Rowland, C. M. – Journal of Biological Education, 1983
Describes a computer program simulating seasonal population growth and decline in a honeybee colony as an ecological teaching aid. Program listing for Pet microcomputers (in BASIC) is included. (JN)
Descriptors: Biology, College Science, Computer Simulation, Ecology

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

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

Murphy, P. J. – Journal of Biological Education, 1984
The educational design of a project option in an Open University course on evolution is described. Also described is the simulation which models the genetic and evolutionary consequences of two populations of a species of flowering plant coming together after a period of genetic isolation. (Author/JN)
Descriptors: Biology, Botany, College Science, Computer Assisted Instruction

Goodridge, Frank – Journal of Biological Education, 1983
Describes two computer programs (BASIC for 32K Commodore PET) for teaching protein synthesis. The first is an interactive test of base-pairing knowledge, and the second generates random DNA nucleotide sequences, with instructions for substitution, insertion, and deletion printed out for each student. (JN)
Descriptors: Biochemistry, Biology, College Science, Computer Programs

Bowker, D. W.; Randerson, P. F. – Journal of Biological Education, 1989
Described is a computer program, AQUASIM, which simulates interaction between environmental factors, phytoplankton, zooplankton, and fish in an aquatic ecosystem. The conceptual flow, equations, variables, rate processes, and parameter manipulations are discussed. (CW)
Descriptors: Biology, College Science, Computer Simulation, Computer Software

Park, David – Journal of Biological Education, 1983
Describes a sequence of five computer programs (listings for Apple II available from author) on tactic responses (oriented movement of a cell, cell group, or whole organism in reponse to stimuli). The simulation programs are useful in helping students examine mechanisms at work in real organisms. (JN)
Descriptors: Biology, College Science, Computer Programs, Computer Simulation

Murphy, P. J. – Journal of Biological Education, 1986
Discusses the advantages of basing computer simulations on analogues of nature rather than mathematical models. Explains the concept of heritability and describes how a computer simulation can help undergraduate students understand this concept. (ML)
Descriptors: Biology, College Science, Computer Assisted Instruction, Computer Simulation
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