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Barral, Ana Maria; Ardi-Pastores, Veronica C.; Simmons, Rachel E. – CBE - Life Sciences Education, 2018
A flipped-classroom environment generally strives to create more in-class time for activities that enhance student learning, while shifting some content delivery to outside the classroom through the use of short didactic videos. We compared a flipped-classroom setting with the traditional ("control") setting for an accelerated…
Descriptors: Video Technology, Homework, Teaching Methods, Biology
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Soneral, Paula A. G.; Wyse, Sara A. – CBE - Life Sciences Education, 2017
Student-centered learning environments with upside-down pedagogies (SCALE-UP) are widely implemented at institutions across the country, and learning gains from these classrooms have been well documented. This study investigates the specific design feature(s) of the SCALE-UP classroom most conducive to teaching and learning. Using pilot survey…
Descriptors: Active Learning, Achievement Gains, Student Centered Learning, Comparative Analysis
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Stoltzfus, Jon R.; Libarkin, Julie – CBE - Life Sciences Education, 2016
SCALE-UP-type classrooms, originating with the Student-Centered Active Learning Environment with Upside-down Pedagogies project, are designed to facilitate active learning by maximizing opportunities for interactions between students and embedding technology in the classroom. Positive impacts when active learning replaces lecture are well…
Descriptors: Active Learning, Lecture Method, Classrooms, Student Centered Learning
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Adams, Alison E. M.; Randall, Shelby; Traustadóttir, Tinna – CBE - Life Sciences Education, 2015
Two sections of an introductory microbiology course were taught by one instructor. One was taught through a hybrid format and the other through a traditional format. Students were randomly assigned to the two sections. Both sections were provided with identical lecture materials, in-class worksheets, in-class assessments, and extra credit…
Descriptors: Science Instruction, Conventional Instruction, Lecture Method, Blended Learning
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Batzli, Janet M.; Smith, Amber R.; Williams, Paul H.; McGee, Seth A.; Dosa, Katalin; Pfammatter, Jesse – CBE - Life Sciences Education, 2014
Genetics instruction in introductory biology is often confined to Mendelian genetics and avoids the complexities of variation in quantitative traits. Given the driving question "What determines variation in phenotype (Pv)? (Pv=Genotypic variation Gv + environmental variation Ev)," we developed a 4-wk unit for an inquiry-based laboratory…
Descriptors: Genetics, Units of Study, Plants (Botany), Statistical Analysis
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Gutierrez, Arnel F. – CBE - Life Sciences Education, 2014
The complex concepts and vocabulary of biology classes discourage many students. In this study, a pretest-posttest model was used to test the effectiveness of an educational card game in reinforcing biological concepts in comparison with traditional teaching methods. The subjects of this study were two biology classes at Bulacan State…
Descriptors: Foreign Countries, Educational Games, Biology, Science Instruction
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Cox-Paulson, Elisabeth A.; Grana, Theresa M.; Harris, Michelle A.; Batzli, Janet M. – CBE - Life Sciences Education, 2012
Scientists routinely integrate information from various channels to explore topics under study. We designed a 4-wk undergraduate laboratory module that used a multifaceted approach to study a question in molecular genetics. Specifically, students investigated whether "Caenorhabditis elegans" can be a useful model system for studying genes…
Descriptors: Genetics, Laboratories, Human Body, Diseases
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Porter, Sandra G.; Day, Joseph; McCarty, Richard E.; Shearn, Allen; Shingles, Richard; Fletcher, Linnea; Murphy, Stephanie; Pearlman, Rebecca – CBE - Life Sciences Education, 2007
Researchers in the field of bioinformatics have developed a number of analytical programs and databases that are increasingly important for advancing biological research. Because bioinformatics programs are used to analyze, visualize, and/or compare biological data, it is likely that the use of these programs will have a positive impact on biology…
Descriptors: Experimental Groups, Control Groups, Visualization, Genetics