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Cardoso, Josué; Caetano, Diego; Abreu, Raphael; Quadros, João; dos Santos, Joel; Ogasawara, Eduardo; Lignani, Leonardo – IEEE Transactions on Learning Technologies, 2020
This paper analyzes Sim-Evolution, an educational simulator designed to help teachers presenting three basic principles of the theory of evolution by natural selection (TENS): the trait variation within a population, the heritability of trait variation, and the selective survival based on heritable traits. Sim-Evolution focuses on high school…
Descriptors: Computer Simulation, Computer Uses in Education, Evolution, Science Instruction
Adams, Alison E. M.; Garcia, Jocelyn; Traustadóttir, Tinna – CBE - Life Sciences Education, 2016
Two sections of Genetics and Evolution were taught by one instructor. One group (the fully flipped section) had the entire class period devoted to active learning (with background material that had to be watched before class), and the other group (the partially flipped section) had just a portion of class time spent on active learning (with the…
Descriptors: Science Instruction, Quasiexperimental Design, Undergraduate Study, College Science
Poulin, Jessica; Ramamurthy, Bina; Dittmar, Katharina – Journal of College Science Teaching, 2013
Population genetics is fundamental to understanding evolutionary theory, and is taught in most introductory biology/evolution courses. Many students are unaware that understanding this topic requires pertinent knowledge
of mathematics and consequently struggle with the subject. As a response to this problem, a virtual tool (Pop!World) was…
Descriptors: Genetics, Evolution, Learning Modules, Introductory Courses
Shumate, 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
Yoon, Susan – Journal of Research in Science Teaching, 2008
This study investigated seventh grade learners' decision making about genetic engineering concepts and applications. A social network analyses supported by technology tracked changes in student understanding with a focus on social and conceptual influences. Results indicated that several social and conceptual mechanisms potentially affected how…
Descriptors: Grade 7, Genetics, Engineering, Evolution
Yannibelli, Virginia; Godoy, Daniela; Amandi, Analia – Interactive Learning Environments, 2006
Learning styles encapsulate the preferences of the students, regarding how they learn. By including information about the student learning style, computer-based educational systems are able to adapt a course according to the individual characteristics of the students. In accomplishing this goal, educational systems have been mostly based on the…
Descriptors: Student Characteristics, Mathematical Models, Genetics, Educational Technology

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