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Sweller, John – Educational Technology Research and Development, 2020
Cognitive load theory provides instructional recommendations based on our knowledge of human cognition. Evolutionary psychology is used to assume that knowledge should be divided into biologically primary information that we have specifically evolved to acquire and biologically secondary information that we have not specifically evolved to…
Descriptors: Cognitive Processes, Difficulty Level, Educational Technology, Epistemology
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Poli, DorothyBelle; Berenotto, Christopher; Blankenship, Sara; Piatkowski, Bryan; Bader, Geoffrey A.; Poore, Mark – American Biology Teacher, 2012
The video game SPORE was found to hold characteristics that stimulate higher-order thinking even though it rated poorly for accurate science. Interested in evaluating whether a scientifically inaccurate video game could be used effectively, we exposed students to SPORE during an evolution course. Students that played the game reported that they…
Descriptors: Thinking Skills, Video Games, Science Instruction, Biology
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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
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Meyer, W. Max – Cultural Studies of Science Education, 2012
Analyses of the game "Spore" have centered on the important issues of accuracy of evolution content and engendering interest in science. This paper suggests that examination of the degree of scaffolding necessary to use the game in pedagogy is a missing part of the discussion, and then questions the longevity of the "Spore" discussion relative to…
Descriptors: Science Interests, Educational Environment, Science Instruction, Educational Technology
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Bean, Thomas E.; Sinatra, Gale M.; Schrader, P. G. – Journal of Science Education and Technology, 2010
The use of computer simulations as educational tools may afford the means to develop understanding of evolution as a natural, emergent, and decentralized process. However, special consideration of developmental constraints on learning may be necessary when using these technologies. Specifically, the essentialist (biological forms possess an…
Descriptors: Misconceptions, Models, Evolution, Bias
Rowland, Gordon – Performance Improvement Quarterly, 2007
Individual performers, work teams, and organizations may be considered complex adaptive systems, while most current human performance technologies appear to assume simple determinism. This article explores the apparent mismatch and speculates on future efforts to enhance performance if complexity rather than simplicity is assumed. Included are…
Descriptors: Performance Technology, Theory Practice Relationship, Improvement Programs, Educational Technology
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Scotchmoor, Judy; Thanukos, Anastasia – McGill Journal of Education, 2007
The Understanding Evolution website (http://evolution.berkeley.edu/) was developed to provide a freely accessible resource that promotes the teaching of evolution and improved understandings of evolution among students and the general public. Evaluations show that the strategies employed in site design have allowed it to effectively meet those…
Descriptors: Evolution, Teaching Methods, Scientific Concepts, Science Instruction
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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