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Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
Gonczi, Amanda; Palosaari, Chuck; Mayer, Alex; Urban, Noel – Science Teacher, 2022
Computational modeling and thinking skill sets were previously relegated to computer scientists and programmers. As a result, computational tools are largely unfamiliar to K-12 science teachers and students. Using Mathematical and Computational Thinking and Developing and Using Models were included in the "Next Generation Science…
Descriptors: Learning Activities, High School Students, STEM Education, Computation
Hemer, David – Australian Mathematics Education Journal, 2020
This paper describes an investigation looking at the underlying mathematics of poker machines. The aim of the investigation is for students to get an appreciation of how poker machines are designed to ensure that in the long-term players will inevitably lose when playing. The first part of this paper describes how students can model a simple poker…
Descriptors: Equipment, Probability, Games, Mathematics Instruction
Park, Joontaek; Matejka, Elizabeth; Nelson, Alyssa K.; Rhodes, Jared A. – Chemical Engineering Education, 2018
A sample class project utilizing Excel spreadsheets to develop a flash drum simulator is demonstrated. In addition to solving equations for mole and enthalpy balances, students are trained to carry out vapor-liquid equilibrium calculations. More importantly, students gain a solid understanding of the link between hand calculations and simulator…
Descriptors: Spreadsheets, Class Activities, Chemical Engineering, Simulation
Papadakis, Stamatios, Ed.; Kalogiannakis, Michail, Ed. – Lecture Notes in Educational Technology, 2022
This book brings together a collection of work from around the world in order to consider effective STEM, robotics, mobile apps education from a range of perspectives. It presents valuable perspectives--both practical and theoretical--that enrich the current STEM, robotics, mobile apps education agenda. As such, the book makes a substantial…
Descriptors: STEM Education, Robotics, Computer Oriented Programs, Handheld Devices
Hii, King Kuok; Rzepa, Henry S.; Smith, Edward H. – Journal of Chemical Education, 2015
The coupling of a student experiment involving the preparation and use of a catalyst for the asymmetric epoxidation of an alkene with computational simulations of various properties of the resulting epoxide is set out in the form of a software toolbox from which students select appropriate components. At the core of these are the computational…
Descriptors: Organic Chemistry, Laboratory Experiments, Science Experiments, College Science
Ortiz-Rodriguez, Estanislao; Vazquez-Arenas, Jorge; Ricardez-Sandoval, Luis A. – Chemical Engineering Education, 2010
An overview of a course on modeling and simulation offered at the Nanotechnology Engineering undergraduate program at the University of Waterloo. The motivation for having this course in the undergraduate nanotechnology curriculum, the course structure, and its learning objectives are discussed. Further, one of the computational laboratories…
Descriptors: Course Content, Laboratories, Undergraduate Students, Universities
Sanqui, Jose Almer T.; Arnholt, Alan T. – Teaching Statistics: An International Journal for Teachers, 2011
This article describes a simulation activity that can be used to help students see that the estimator "S" is a biased estimator of [sigma]. The activity can be implemented using either a statistical package such as R, Minitab, or a Web applet. In the activity, the students investigate and compare the bias of "S" when sampling from different…
Descriptors: Advanced Students, Regression (Statistics), Sampling, College Mathematics
Sabin, J.; Bandin, M.; Prieto, G.; Sarmiento, F. – Physics Education, 2009
We present a new practical exercise to explain the mechanisms of aggregation of some colloids which are otherwise not easy to understand. We have used tennis balls to simulate, in a visual way, the aggregation of colloids under reaction-limited colloid aggregation (RLCA) and diffusion-limited colloid aggregation (DLCA) regimes. We have used the…
Descriptors: Physics, Motion, Energy, Geometric Concepts
Tabor, Josh – Journal of Statistics Education, 2010
On the 2009 AP[c] Statistics Exam, students were asked to create a statistic to measure skewness in a distribution. This paper explores several of the most popular student responses and evaluates which statistic performs best when sampling from various skewed populations. (Contains 8 figures, 3 tables, and 4 footnotes.)
Descriptors: Advanced Placement, Statistics, Tests, High School Students
Muschla, Judith A.; Muschla, Gary Robert; Muschla, Erin – Jossey-Bass, An Imprint of Wiley, 2012
The new Common Core State Standards for Mathematics have been formulated to provide students with instruction that will help them acquire a thorough knowledge of math at their grade level, which will in turn enable them to move on to higher mathematics with competence and confidence. "Hands-on Activities for Teaching the Common Core Math…
Descriptors: State Standards, Mathematics Instruction, Academic Standards, Experiential Learning
Urban, Michael J., Ed.; Falvo, David A., Ed. – IGI Global, 2016
The application of technology in classroom settings has equipped educators with innovative tools and techniques for effective teaching practice. Integrating digital technologies at the elementary and secondary levels helps to enrich the students' learning experience and maximize competency in the areas of science, technology, engineering, and…
Descriptors: Elementary Secondary Education, STEM Education, Outcomes of Education, Technology Integration
de la Torre, Jose Garcia; Cifre, Jose G. Hernandez; Martinez, M. Carmen Lopez – European Journal of Physics, 2008
This paper describes a computational exercise at undergraduate level that demonstrates the employment of Monte Carlo simulation to study the conformational statistics of flexible polymer chains, and to predict solution properties. Three simple chain models, including excluded volume interactions, have been implemented in a public-domain computer…
Descriptors: Plastics, Monte Carlo Methods, Computer Simulation, Chemistry
Moseley, Christine – Science Activities: Classroom Projects and Curriculum Ideas, 2007
The purpose of this activity was to help students understand the percentage of cloud cover and make more accurate cloud cover observations. Students estimated the percentage of cloud cover represented by simulated clouds and assigned a cloud cover classification to those simulations. (Contains 2 notes and 3 tables.)
Descriptors: Science Instruction, Simulation, Weather, Computation
Danielson, Christopher; Jenson, Eric – Mathematics Teacher, 2008
The Wednesday before Thanksgiving presents a challenge to teachers in many U.S. schools. Some students are absent because they are traveling to be with their extended families for the holiday. Other students, assuming that nothing important will happen at school when so many of their peers are absent, may also be absent. One school's solution to…
Descriptors: High School Students, Probability, Teaching Methods, Handheld Devices
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