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Direct linkBrasier, Daniel J.; Melville, Michael; Hershock, Chad; Rule, Gordon – Journal of Computer Assisted Learning, 2019
In this study, we investigated the optimal placement of animations and practice and feedback exercises with respect to each other and to static text and graphics in an online DNA replication module. We randomly assigned students in a first-semester introductory biology course for freshmen biology majors and nonmajors to one of four online modules…
Descriptors: Genetics, Introductory Courses, Biology, Science Instruction
Swope, Nicole K.; Fryfogle, Patrick J.; Sivy, Tami L. – Journal of Chemical Education, 2015
A flexible, rigorous laboratory experiment for upper-level biochemistry undergraduates is described that focuses on the Roundup Ready maize line. The work is appropriate for undergraduate laboratory courses that integrate biochemistry, molecular biology, or bioinformatics. In this experiment, DNA is extracted and purified from maize kernel and…
Descriptors: Science Laboratories, Laboratory Experiments, Science Experiments, Undergraduate Students
Southworth, Meghan; Mokros, Jan; Dorsey, Chad; Smith, Randy – Science Teacher, 2010
GENIQUEST is a cyberlearning computer program that allows students to investigate biological data using a research-based instructional model. In this article, the authors make the case for using cyberlearning to teach students about the rapidly growing fields of genomics and computational biology. (Contains 2 figures and 1 online resource.)
Descriptors: Genetics, Biology, Secondary School Science, Science Instruction
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
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
Herron, Sherry; Gopal, Tamilselvi – Journal of Computers in Mathematics and Science Teaching, 2012
We conducted a series of summer workshops on bioinformatics to increase educators' knowledge of this new field of inquiry with the assumption that their knowledge will, in turn, impact student achievement. The workshops incorporated experiential learning and self-reflection (Loucks-Horsley et al. 1998). Educators demonstrated significant increases…
Descriptors: Pretests Posttests, Experiential Learning, Teacher Workshops, Biology
Woods, Eric C.; McKinnon, Alan E.; Hickford, Jonathan G. H.; Abell, Walt A. – Bioscience Education, 2008
The prototype of a guided practice application was developed to instruct year 13 biology students in the process of DNA replication. The application uses a high degree of interaction to engage the student in a guided exploration and problem solving exercise. An evaluation revealed that the students showed considerable enthusiasm and significant…
Descriptors: Educational Benefits, Genetics, Biology, Computer Software
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 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 reviewedMurphy, P. J. – Computers and Education, 1982
The problems of introducing biological simulations into two Open University courses and the proposed solutions are discussed in relation to sound computer assisted learning practice. Eight references are included. (Author/CHC)
Descriptors: Biology, Computer Assisted Instruction, Computers, Extension Education
Tolvanen, Martti; Vihinen, Mauno – Biochemistry and Molecular Biology Education, 2004
Distance learning as a computer-aided concept allows students to take courses from anywhere at any time. In bioinformatics, computers are needed to collect, store, process, and analyze massive amounts of biological and biomedical data. We have applied the concept of distance learning in virtual bioinformatics to provide university course material…
Descriptors: Distance Education, Science Instruction, Higher Education, Computer Assisted Instruction
Winters, Fielding I.; Azevedo, Roger – Journal of Educational Computing Research, 2005
Sixty-two high-school biology students, paired heterogeneously based on prior knowledge, learned about genetic using GenScope, a computer-based learning environment (CBLE), over four 90-minute class periods. Differences between low and high prior knowledge students emerged with convergence of verbal process data and pre- and post-test product…
Descriptors: High School Students, Computer Assisted Instruction, Prior Learning, Science 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
