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Mariale M. Hardiman – Corwin, 2025
With all the recent updates and advances in education and the cognitive sciences, it's crucial that we update and advance how we teach. It is time for our practices to reflect a focus on the way people think and learn rather than solely on the product of that learning. This new edition of the bestselling The Brain-Targeted Teaching® (BTT) Model…
Descriptors: Brain, Teaching Methods, Neurosciences, Cognitive Science
Dougherty, Michael R.; Thomas, Rick P. – Psychological Review, 2012
The authors propose a general modeling framework called the general monotone model (GeMM), which allows one to model psychological phenomena that manifest as nonlinear relations in behavior data without the need for making (overly) precise assumptions about functional form. Using both simulated and real data, the authors illustrate that GeMM…
Descriptors: Least Squares Statistics, Decision Making, Cognitive Development, Child Development
Peer reviewedSteed, Marlo – Journal of Computers in Mathematics and Science Teaching, 1992
This document describes the construction/simulation software called Stella which can be used in the investigation of dynamic causal models. Topics considered are its built-in perspective of system dynamics and capabilities, its potential drawbacks, and its cognitive implications for educational applications. (JJK)
Descriptors: Causal Models, Cognitive Development, Cognitive Structures, Computer Simulation
PDF pending restorationWindschitl, Mark; Andre, Thomas – 1996
The objectives of this study were to: examine the potential interaction between students' epistemological beliefs and placement in a simulation condition (constructivist versus non-constructivist) on conceptual development; and to assess whether a constructivist computer simulation experience would result in a greater degree of conceptual change…
Descriptors: Anatomy, Cognitive Development, Cognitive Structures, College Students
Lavoie, Derrick R. – 1989
Misconceptions, shown to be prevalent in students even at the college level, may affect the cognitive process of making predictions in biology. The purpose of this study was to: (1) identify students' misconceptions about important biological concepts; (2) identify students' cognitive behaviors associated with making predictions about these…
Descriptors: Biology, Cognitive Development, College Science, Computer Simulation
Suits, Jerry P.; Lagowski, J. J. – 1994
Two studies were conducted to determine the effects of gender, reasoning level, and inductive and deductive computer-simulated experiments (CSE) on problem-solving abilities in introductory general chemistry. In the pilot study, 254 subjects were randomly assigned to control (computer-assisted-instruction tutorials), inductive or deductive CSE…
Descriptors: Abstract Reasoning, Chemistry, Classroom Research, Cognitive Development
Effects of Conceptual Systems and Instructional Methods on General Chemistry Laboratory Achievement.
Peer reviewedJackman, Lance E.; And Others – Journal of Research in Science Teaching, 1990
The purpose of this study was to examine the effects of three instructional methods and conceptual systems orientation on achievement in a freshman general chemistry laboratory course. Traditional approach, learning cycle, and computer simulations are discussed. (KR)
Descriptors: Abstract Reasoning, Chemistry, Cognitive Development, College Science
Peer reviewedTaylor, Holly A.; Jensen, Michael D.; Renshaw, Carl E. – Journal of Educational Computing Research, 1997
Describes two studies that assessed decision-making skills using common cognitive errors and evaluated the impact of computer-based role-playing exercises on the development of these skills. Results with high school students, undergraduates, and earth science professionals are discussed which indicate that well-designed computer-based laboratories…
Descriptors: Cognitive Development, Computer Simulation, Computer Uses in Education, Decision Making
Peer reviewedWiley, Scott E. – Engineering Design Graphics Journal, 1990
Proposed is a hierarchy of visual learning giving three primary stages of visual learning as well as seven hierarchical stages. A clarification of terms associated with visual learning is presented. (KR)
Descriptors: Cognitive Development, College Science, Computer Assisted Design, Computer Assisted Instruction

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