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Direct linkLudvigsen, Sten R. – Learning, Media and Technology, 2012
In this article, I develop a perspective on learning as multilayered phenomena. I take a socio-genetic approach in order to understand human activity and to show how categories are a fundamental part of learning in a specific type of institutional practice. In the empirical section, student dialogue is analysed in relation to a set of categories…
Descriptors: Foreign Countries, Secondary School Students, Science Education, Inquiry
Download full textShumate, Alice M.; Windsor, Aaron J. – Bioscene: Journal of College Biology Teaching, 2010
The increase in publications presenting molecular evolutionary analyses and the availability of comparative sequence data through resources such as NCBI's GenBank underscore the necessity of providing undergraduates with hands-on sequence analysis skills in an evolutionary context. This need is particularly acute given that students have been…
Descriptors: Evolution, Computer Software, Genetics, Laboratories
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 reviewedSmall, James W., Jr.; Edwards, Kathryn L. – American Biology Teacher, 1979
Presents some techniques developed to help improve student understanding of Mendelian principles through the use of a computer simulation model by the genetic system of the fruit fly. Includes discussion and evaluation of this computer assisted program. (MA)
Descriptors: Biology, Computer Assisted Instruction, Genetics, Heredity
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 reviewedDean, P. G.; Murphy, P. J. – Journal of Biological Education, 1973
Describes an exercise in which senior high school biology students used a computer to simulate genetic mapping. The exercise was designed to enhance the students' grasp of the concepts of linkage and crossing-over. (JR)
Descriptors: Biology, Computer Assisted Instruction, Genetics, Instruction
Peer reviewedSmith, Mike U. – Journal of Research in Science Teaching, 1991
Criticizes an article by Browning and Lehman (1988) for (1) using "gene" instead of allele, (2) misusing the word "misconception," and (3) the possible influences of the computer environment on the results of the study. (PR)
Descriptors: Computer Assisted Instruction, Educational Research, Elementary Secondary Education, Genetics
Peer reviewedBrowning, Mark; Lehman, James D. – Journal of Research in Science Teaching, 1991
Authors respond to criticisms by Smith in the same issue and defend their use of the term "gene" and "misconception." Authors indicate that they did not believe that the use of computers significantly skewed their data concerning student errors. (PR)
Descriptors: Computer Assisted Instruction, Educational Research, Elementary Secondary Education, Genetics
Peer reviewedHull, Peter – Journal of Biological Education, 1978
Describes an interactive computer program which can be used by students to construct adaptive landscapes of two types as an illustration of the expected effects of selection. Simulates effects of selection on populations of this type and changes of gene frequency can be plotted on the same contour map. (Author/MA)
Descriptors: Biology, Computer Assisted Instruction, Ecology, Evolution
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 reviewedTocci, Salvatore – Science Teacher, 1981
Describes ways that computer-assisted instruction (CAI) is used in a high school biology course, including: (1) mastery of specific objectives; (2) CAI as a self-check; (3) computer games; (4) laboratory simulations; (5) genetics instruction; (6) writing programs; and (7) remedial assistance and testing. (CS)
Descriptors: Biology, Computer Assisted Instruction, Educational Games, Genetics
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
Peer reviewedJohnson, David A. – American Biology Teacher, 1995
Describes new software called "PopGenetics" that is useful for conducting hands-on laboratory activities that illustrate population genetics. Users investigate the effects of selection and random drift on changes in allelic frequencies, the effect of mutation, and interactions among these three parameters. Designed for use on Macintosh…
Descriptors: Biology, Computer Assisted Instruction, Computer Software, Genetics
