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Burian, Alexis N.; Zhao, Wufan; Lo, Te-Wen; Thurtle-Schmidt, Deborah M. – Biochemistry and Molecular Biology Education, 2021
To fully appreciate genetics, one must understand the link between genotype (DNA sequence) and phenotype (observable characteristics). Advances in high-throughput genomic sequencing technologies and applications, so-called "-omics," have made genetic sequencing readily available across fields in biology from applications in…
Descriptors: Genetics, Science Instruction, Teaching Methods, Biology
Davenport, K. D.; Milks, Kirstin Jane; Van Tassell, Rebecca – American Biology Teacher, 2015
Analyzing evolutionary relationships requires that students have a thorough understanding of evidence and of how scientists use evidence to develop these relationships. In this lesson sequence, students work in groups to process many different lines of evidence of evolutionary relationships between ungulates, then construct a scientific argument…
Descriptors: Science Instruction, Evaluation, Misconceptions, Scientific Concepts
Tra, Yolande V.; Evans, Irene M. – CBE - Life Sciences Education, 2010
"BIO2010" put forth the goal of improving the mathematical educational background of biology students. The analysis and interpretation of microarray high-dimensional data can be very challenging and is best done by a statistician and a biologist working and teaching in a collaborative manner. We set up such a collaboration and designed a course on…
Descriptors: Feedback (Response), Computer Software, Biology, Interdisciplinary Approach
Campbell, A. Malcolm; Zanta, Carolyn A.; Heyer, Laurie J.; Kittinger, Ben; Gabric, Kathleen M.; Adler, Leslie – CBE - Life Sciences Education, 2006
We have developed a wet lab DNA microarray simulation as part of a complete DNA microarray module for high school students. The wet lab simulation has been field tested with high school students in Illinois and Maryland as well as in workshops with high school teachers from across the nation. Instead of using DNA, our simulation is based on pH…
Descriptors: Feedback (Response), High Schools, Genetics, Data Analysis
Hancock, Dale; Nguyen, Lisa L.; Denyer, Gareth S.; Johnston, Jill M. – Biochemistry and Molecular Biology Education, 2006
A microarray experiment is presented that, in six laboratory sessions, takes undergraduate students from the tissue sample right through to data analysis. The model chosen, the murine erythroleukemia cell line, can be easily cultured in sufficient quantities for class use. Large changes in gene expression can be induced in these cells by…
Descriptors: Undergraduate Students, Laboratories, Data Analysis, Quality Control
Cwikla, Julie; Patterson, Marcelle Dessommes – Mathematics Teaching in the Middle School, 2006
This article describes an innovative lesson that uses the biography "Barbara McClintock: Alone in her Field" (Heiligman, 1994) to integrate genetics, literature, and mathematics as a context for students to investigate patterns on Indian corn. This two-day lesson requires students to estimate, collect data, identify and describe patterns,…
Descriptors: Probability, Graphs, Genetics, Mathematics Instruction
Bonds, Wesley D., Sr.; Paolella, Mary Jane – American Biology Teacher, 2006
A single-semester elective combines Mendelian and molecular genetics in a problem-solving format. Students encounter a genetic disease scenario, construct a family pedigree, and try to confirm their medical diagnoses through laboratory experiences. Encouraged to generate ideas as they test their hypotheses, students realize the importance of data…
Descriptors: Teaching Methods, Learning Experience, Science Experiments, Science Laboratories