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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
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Fisher, Aidan A. E. – Journal of Chemical Education, 2020
The drive in computational methods and more intuitive software has seen a rise in the number of publications in this area in recent years. Computational simulations can be found in many areas of science from computational biology and chemistry to fundamental physics. These may help synthetic chemists in their drug discovery endeavors and…
Descriptors: Chemistry, Computation, Kinetics, Computer Software
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Kaltcheva, Nadia; Nenkova, Maia – Physics Education, 2021
Many introductory astronomy courses include concepts related to basic stellar properties. In general, these are concepts that originate from the human perception of starlight. This observational aspect is not easy to incorporate in the classroom. We explore if these concepts could be developed using the built-in data in a planetarium software.…
Descriptors: Teaching Methods, Introductory Courses, Astronomy, Computer Software
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Charlotte A. Dodson; Stephen E. Flower; Mark Thomas – Journal of Chemical Education, 2023
Industrial drug discovery teams encompass scientists from multiple specialties and require participants to communicate effectively across disciplinary boundaries. In this paper, we present an undergraduate or graduate classroom simulation of this environment. Over a series of five workshops, student teams of mixed scientific backgrounds perform…
Descriptors: Drug Therapy, Pharmacy, Teamwork, Interdisciplinary Approach
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Sagrans, Jacob; Mokros, Janice; Voyer, Christine; Harvey, Meggie – Science Teacher, 2022
The use of large, open-source data sets is ubiquitous in scientific research. Scientists--ranging from meteorologists to chemists to epidemiologists--are researching and investigating critical questions using data that they have not themselves collected. To contribute to the growing effort to bring data science into classrooms, the authors have…
Descriptors: Data Analysis, Science Instruction, High School Teachers, Science Teachers
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Christian, Nicholas; Akujobi, Innocent; Saha, Munmun; Korzaan, Melinda – Information Systems Education Journal, 2018
Advanced Competition Simulations (ACS), a massive multiplayer online (MMO) strategy gaming company, has petabytes of customer data at their data center in Brentwood, Tennessee that could assist executives with decision making, but they currently do not have business intelligence software or a business intelligence and analytics (BIA) team. As is…
Descriptors: Computer Games, Computer Simulation, Business, Intelligence
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Campbell, Robert D. – American Journal of Business Education, 2017
This paper presents an example of an approach to teaching financial theory at the college and post-graduate levels that I call "teaching backwards". In the more traditional approach, instructors begin by explaining financial theory, then proceed to give examples of the way this theory can be applied to a business problem, structuring…
Descriptors: College Students, Teaching Methods, Money Management, Economics Education
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Lim, Vivian; Rubel, Laurie; Shookhoff, Lauren; Sullivan, Mathew; Williams, Sarah – Mathematics Teaching in the Middle School, 2016
The lottery has rich potential for mathematical explorations. It serves as a real-world context to explore concepts of permutations, combinations, sample space, and probability in terms of making sense of the lottery games. The lottery offers additional possibilities in terms of scaling, data analysis, and spatial analysis. Finally, by readily…
Descriptors: Mathematics, Mathematics Education, Games, Probability
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Mikroyannidis, Alexander; Gómez-Goiri, Aitor; Smith, Andrew; Domingue, John – Interactive Learning Environments, 2020
The main challenges commonly associated with acquiring practical network engineering skills are the requirements for access to specialised and up-to-date network equipment, as well as the high costs associated with obtaining and maintaining this equipment. The PT Anywhere initiative addresses these challenges by offering a mobile environment for…
Descriptors: Computer Science Education, Computer Networks, Data Analysis, Engineering
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Aguilar, Jose; Cordero, Jorge; Buendía, Omar – Journal of Educational Computing Research, 2018
In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…
Descriptors: Data Analysis, Learning Processes, Decision Making, Instructional Improvement
Fulbright, Ron – Association Supporting Computer Users in Education, 2017
The ASCUE conference is celebrating its 50th anniversary this year making me wonder if we will be able to attend the 100th conference in 2067. By then, many of us may very well be biologically deceased. However, there is technology currently in development making it possible for a digital version of ourselves to attend not only the 2067 conference…
Descriptors: Conferences (Gatherings), Attendance, Death, Artificial Intelligence
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Neilan, Rachael Miller – PRIMUS, 2013
This article describes a computational project designed for undergraduate students as an introduction to mathematical modeling. Students use an ordinary differential equation to describe fish weight and assume the instantaneous growth rate depends on the concentration of dissolved oxygen. Published laboratory experiments suggest that continuous…
Descriptors: Undergraduate Students, Mathematical Models, Calculus, Ichthyology
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Naresh, Nirmala; Royce, Bridget – Mathematics Teaching in the Middle School, 2013
The game of Plinko offers students an exciting real-world example of the applications of probability and data analysis. The Common Core State Standards for Mathematics (CCSSI 2010) and the Guidelines for Assessment in Statistics Education (GAISE) (Franklin et al. 2007) suggest that students in grades 6-8 be given ample opportunities to engage in…
Descriptors: Mathematics Instruction, Probability, Data Analysis, Educational Games
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White, Brian T. – American Biology Teacher, 2012
The Virtual Genetics Lab II (VGLII) is an improved version of the highly successful genetics simulation software, the Virtual Genetics Lab (VGL). The software allows students to use the techniques of genetic analysis to design crosses and interpret data to solve realistic genetics problems involving a hypothetical diploid insect. This is a brief…
Descriptors: Computer Software, Genetics, Computer Simulation, Science Education
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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
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