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Cisterna, Dante; Ingram, Erin; Bhattacharya, Devarati; Roy, Ranu; Forbes, Cory – Science and Children, 2020
A set of core ideas in the life sciences revolve around genetics, variation, and inheritance. While the "Next Generation Science Standards" (NGSS; NGSS Lead States 2013) emphasize teaching and learning about these concepts across K-12 grades, it is critical for early learners to begin to develop understanding of them. By the end of fifth…
Descriptors: Science Instruction, Plants (Botany), Genetics, Elementary School Science
Singh, Gurmukh; Siddiqui, Khalid; Singh, Mankiran; Singh, Satpal – Journal of Educational Technology Systems, 2011
The current research article is based on a simple and practical way of employing the computational power of widely available, versatile software MS Excel 2007 to perform interactive computer simulations for undergraduate/graduate students in biology, biochemistry, biophysics, microbiology, medicine in college and university classroom setting. To…
Descriptors: Heredity, Genetics, Biological Sciences, Medical Education
Unger, Lawrence; Blystone, Robert V. – Bioscene, 1996
Discusses whether the discovery in 1956 that humans have a chromosome number of 46, as opposed to 47 or 48 as previously thought, fits into a paradigm shift of the Kuhnian type. Concludes that Kuhn probably would not have considered the chromosome number shift to be large enough to be a focus for one of his paradigms. (AIM)
Descriptors: Biological Parents, Genetic Engineering, Genetics, Heredity
Johnson, Susan – Principled Practice in Mathematics and Science Education, 1997
Relates activities implemented in a high school genetics course that enable students to experience "science in the making" (Latour, 1987). Students work in research groups, build explanatory models of observed natural phenomena, present models at class conferences, revise models based on peer feedback or new observational information, and win…
Descriptors: Genetics, Heredity, High Schools, Hypothesis Testing
Johnson, Dan; Levy, Foster; Karsai, Istvan; Stroud, Kimberly – Journal of College Science Teaching, 2006
Data sharing among multiple lab sections increases statistical power of data analyses and informs student-generated hypotheses. We describe how to collect, organize, and manage data to support replicate and rolling inquiry models, with three illustrative examples of activities from a population-level biology course for science majors. (Contains 1…
Descriptors: Biology, Class Size, Higher Education, Science Laboratories