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Butcher, Greg Q.; Rodriguez, Juan; Chirhart, Scott; Messina, Troy C. – Bioscene: Journal of College Biology Teaching, 2016
In order to increase students' awareness for and comfort with mathematical modeling of biological processes, and increase their understanding of diffusion, the following lab was developed for use in 100-level, majors/non-majors biology and neuroscience courses. The activity begins with generation of a data set that uses coin-flips to replicate…
Descriptors: Biology, Comparative Analysis, Simulation, Questionnaires
Fingerut, Jonathan; Orbe, Kristina; Flynn, Daniel; Habdas, Piotr – Bioscene: Journal of College Biology Teaching, 2013
As part of a biomechanics course aimed at both upper-division Biology and Physics majors, this laboratory exercise introduces students to the ingenious ways in which organisms vary the composition and form of support and defensive structures such as bone and shell to maximize their strength while minimizing the energetic cost needed to produce…
Descriptors: College Science, Biomechanics, Science Instruction, Science Laboratories
Mawhinney, Matthew T.; O'Donnell, Mary Kate; Fingerut, Jonathan; Habdas, Piotr – Physics Teacher, 2012
The experiments described in this paper have two goals. The first goal is to show how students can perform simple but fundamental measurements of objects moving through simple liquids (such as water, oil, or honey). In doing so, students can verify Stokes' law, which governs the motion of spheres through simple liquids, and see how it fails at…
Descriptors: Physics, Mechanics (Physics), Science Experiments, Measurement
Ford, Michael J. – Cognition and Instruction, 2012
This article identifies aspects of argumentation in scientific practice that are key for scientific sense-making and articulates how engagement in these aspects happens both inter-mentally (between people) and intra-mentally (an individual's reasoning). Institutionally, peer review exerts critique on new knowledge claims in science and is…
Descriptors: Persuasive Discourse, Logical Thinking, Criticism, Physics
Hausmann, Robert G. M.; VanLehn, Kurt – International Journal of Artificial Intelligence in Education, 2010
Self-explaining is a domain-independent learning strategy that generally leads to a robust understanding of the domain material. However, there are two potential explanations for its effectiveness. First, self-explanation generates additional "content" that does not exist in the instructional materials. Second, when compared to…
Descriptors: Instructional Design, Intelligent Tutoring Systems, College Students, Predictor Variables