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Direct linkSun, Ji-Zheng; Tang, Yu-Jing; Sa, Rong-Bo; Gao, Yan-Xia – Journal of Chemical Education, 2019
A bioinformatics laboratory experiment was designed to help undergraduate students learn RNA structure and function in biochemistry courses. In this laboratory experiment, students used 5S rRNAs as material to predict secondary structure and visualize three-dimensional (3D) structure. Students first downloaded molecular information from the 5S…
Descriptors: Science Laboratories, Laboratory Experiments, Science Experiments, Information Science
Kholod, Yana; Hoag, Erin; Muratore, Katlynn; Kosenkov, Dmytro – Journal of Chemical Education, 2018
The reported project-based laboratory unit introduces upper-division undergraduate students to the basics of computer-aided drug discovery as a part of a computational chemistry laboratory course. The students learn to perform model binding of organic molecules (ligands) to the DNA minor groove with computer-aided drug discovery (CADD) tools. The…
Descriptors: Science Laboratories, College Science, Undergraduate Study, Chemistry
Download full textJoseph M. Hayes – Journal of Chemical Education, 2014
A 3D model visualization and basic molecular modeling laboratory suitable for first-year undergraduates studying introductory medicinal chemistry is presented. The 2 h practical is embedded within a series of lectures on drug design, target-drug interactions, enzymes, receptors, nucleic acids, and basic pharmacokinetics. Serving as a teaching aid…
Descriptors: Visualization, Models, Visual Aids, Undergraduate Students
Reddy, Christopher – American Journal of Distance Education, 2014
Laboratory science classes offered to students learning at a distance require a methodology that allows for the completion of tactile activities. Literature describes three different methods of solving the distance laboratory dilemma: kit-based laboratory experience, computer-based laboratory experience, and campus-based laboratory experience,…
Descriptors: Distance Education, Science Laboratories, Science Instruction, College Science
Marcus, Jeffrey M.; Hughes, Tia M.; McElroy, Douglas M.; Wyatt, Robert E. – Journal of College Science Teaching, 2010
To improve retention and engagement, first-year college science majors enrolled in University Experience orientation courses participated in a hands-on laboratory research experience: a DNA barcoding project to facilitate species identification. Students collected arthropods and hypothesized morphology-based species identifications. Then they…
Descriptors: Majors (Students), College Science, Computer Assisted Instruction, Identification
Pagliarulo, Christopher L. – ProQuest LLC, 2011
Traditional undergraduate biology courses are content intensive, requiring students to understand and remember large amounts of information in short periods of time. Yet most students maintain little of the material encountered during their education. Poor knowledge retention is a main cause of academic failure and high undergraduate attrition…
Descriptors: Investigations, School Holding Power, Academic Failure, Testing
Shaffer, Christopher D.; Alvarez, Consuelo; Bailey, Cheryl; Barnard, Daron; Bhalla, Satish; Chandrasekaran, Chitra; Chandrasekaran, Vidya; Chung, Hui-Min; Dorer, Douglas R.; Du, Chunguang; Eckdahl, Todd T.; Poet, Jeff L.; Frohlich, Donald; Goodman, Anya L.; Gosser, Yuying; Hauser, Charles; Hoopes, Laura L. M.; Johnson, Diana; Jones, Christopher J.; Kaehler, Marian; Kokan, Nighat; Kopp, Olga R.; Kuleck, Gary A.; McNeil, Gerard; Moss, Robert; Myka, Jennifer L.; Nagengast, Alexis; Morris, Robert; Overvoorde, Paul J.; Shoop, Elizabeth; Parrish, Susan; Reed, Kelynne; Regisford, E. Gloria; Revie, Dennis; Rosenwald, Anne G.; Saville, Ken; Schroeder, Stephanie; Shaw, Mary; Skuse, Gary; Smith, Christopher; Smith, Mary; Spana, Eric P.; Spratt, Mary; Stamm, Joyce; Thompson, Jeff S.; Wawersik, Matthew; Wilson, Barbara A.; Youngblom, Jim; Leung, Wilson; Buhler, Jeremy; Mardis, Elaine R.; Lopatto, David; Elgin, Sarah C. R. – CBE - Life Sciences Education, 2010
Genomics is not only essential for students to understand biology but also provides unprecedented opportunities for undergraduate research. The goal of the Genomics Education Partnership (GEP), a collaboration between a growing number of colleges and universities around the country and the Department of Biology and Genome Center of Washington…
Descriptors: Student Research, Active Learning, Biology, Research Opportunities
Peer reviewedMueller, A. P. – Journal of Biological Education, 1973
Descriptors: Biology, College Science, Computer Assisted Instruction, Genetics
Peer reviewedHyatt, Gary W.; And Others – BioScience, 1972
Illustrates an account of the University of Illinois Programmed Logic for Automatic Teaching Operations (PLATO) system of individualized instruction by describing four undergraduate topics. (AL)
Descriptors: Biochemistry, Biology, College Science, Computer Assisted Instruction
Peer reviewedNorth, J. C.; Dent, M. T. – Journal of Biological Education, 1978
A FORTRAN program is described which simulates point-substitution mutations in the DNA strands of typical organisms. Its objective is to help students to understand the significance and structure of the genetic code, and the mechanisms and effect of mutagenesis. (Author/BB)
Descriptors: Biochemistry, Biology, College Science, Computer Assisted Instruction
Peer reviewedMurphy, 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
Peer reviewedBryce, C. F. A. – Journal of Biological Education, 1977
Using a very simple computer program written in BASIC, a very large number of random-generated DNA or RNA sequences are obtained. Students use these sequences to predict complementary sequences and translational products, evaluate base compositions, determine frequencies of particular triplet codons, and suggest possible secondary structures.…
Descriptors: Biology, College Science, Computer Assisted Instruction, Computer Programs
Peer reviewedMurphy, 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
Kinnear, Judith F. – 1986
Problem solving is an essential skill in the study of genetics. Genetics problems have traditionally come from laboratory activities and textbook situations. Recently computer-based problems have been available to complement these standard sources. This report focusses on the use of computer-based problems in the study of genetics. Discriptions…
Descriptors: College Science, Computer Assisted Instruction, Foreign Countries, Genetics
Banaugh, R. P. – 1976
This set of notes is designed to introduce the student to the development and use of computer-based models, and to analyze quantitative phenomena in the life sciences. Only BASIC programming language is used. The ten chapter titles are: The Growth of a Single Species; The Association of Two Species; Parameter Determination; Automated Parameter…
Descriptors: Biological Sciences, College Science, Componential Analysis, Computer Assisted Instruction
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