NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20241
Since 2021 (last 5 years)13
Since 2016 (last 10 years)55
Since 2006 (last 20 years)116
Audience
Teachers116
Researchers2
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing 1 to 15 of 116 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kalman, Dan – PRIMUS, 2023
In the precalculus curriculum, logistic growth generally appears in either a discrete or continuous setting. These actually feature distinct versions of logistic growth, and textbooks rarely provide exposure to both. In this paper, we show how each approach can be improved by incorporating an aspect of the other, based on a little known synthesis…
Descriptors: Mathematics Education, Calculus, Teaching Methods, Mathematical Models
Peer reviewed Peer reviewed
Direct linkDirect link
Kandel, Matthew – Mathematics Teacher: Learning and Teaching PK-12, 2023
The mathematical modeling process is also a powerful way to teach students the meaning of data. In mathematical modeling, students are collecting data to answer a question. Data collection is the means to an end and not the end in itself. The author was looking for an engaging way to introduce his third-grade mathematics class to the skill of…
Descriptors: Mathematical Models, Mathematics Instruction, Elementary School Mathematics, Grade 3
Peer reviewed Peer reviewed
Direct linkDirect link
Elliott, Rebekah; Brunner, Megan; Stoddard, Elyssa; White, Jenny – Mathematics Teacher: Learning and Teaching PK-12, 2022
Mathematics teachers are increasingly being called to integrate mathematical modeling into their course sequences and curriculum (NCTM 2018; NGA Center and CCSSO 2010). Mathematical modeling is a dynamic cycle calling teachers to engage in complex instructional work that advances students' mathematical knowledge and reasoning. The modeling cycle…
Descriptors: Mathematical Models, Mathematics Instruction, Instructional Design, Mathematics Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Tim Erickson – Australian Mathematics Education Journal, 2023
This is the first of four columns by Tim Erikson which introduces us to the Common Online Data Analysis Platform (CODAP). CODAP is a free, web-based software tool that your students can use for many types of tasks. This first column shows how CODAP can be used for mathematical modelling and where it might fit with the "Australian Curriculum:…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Software, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Rachel Wiemken; Gabriel Matney; Brandon Floro – Mathematics Teacher: Learning and Teaching PK-12, 2024
Seeking to leverage students' interests into mathematical tasks and noticing how their students excitedly discussed the NCAA's Division 1-A football rankings every year, the authors devised a mathematical modeling task in which students could use mathematics to justify their rankings. The task takes students on a journey to consider the complexity…
Descriptors: Team Sports, Mathematics Instruction, Mathematical Models, Student Interests
Curtis, Reagan; Cairns, Darran R.; Bolyard, Johnna J. – Teachers College Press, 2023
Too often, mathematics and science are taught in isolation from each other and from meaningful problems that matter to students. This book draws on the authors' experiences with teacher colleagues, including time spent in their classrooms co-developing and refining lessons. The core of their approach is to encourage learners to pursue solutions to…
Descriptors: Design, Thinking Skills, Evidence Based Practice, Mathematics Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Molitoris-Miller, Susanna; Hillen, Amy – Mathematics Teacher: Learning and Teaching PK-12, 2021
This article presents ways to explore mathematical concepts using Catan, a popular board game. After a brief overview of game play, we explore considerations with many potential entry points for mathematical modeling, such as which resource is the best, which resources will be rare or plentiful, where to build, and risk assessment.
Descriptors: Games, Teaching Methods, Mathematics Instruction, Mathematical Concepts
Peer reviewed Peer reviewed
Direct linkDirect link
Cozzo, Thérèse; Cozzo, Joseph – Mathematics Teacher, 2019
In the late 1800s and early 1900s, increases in metallurgic technology and better manufacturing methods made naval artillery a more powerful force. Guns could fire more powerful shells that could travel farther and hit a target with much greater accuracy. Torpedoes represented a major threat to even the most powerful of warships, forcing captains…
Descriptors: Mathematics Instruction, Mathematical Models, Trigonometry, Mathematical Concepts
Peer reviewed Peer reviewed
Direct linkDirect link
Jones, Ryan Seth; Jia, Zhigang; Bezaire, Joel – Mathematics Teacher: Learning and Teaching PK-12, 2020
Too often, statistical inference and probability are treated in schools like they are unrelated. In this paper, we describe how we supported students to learn about the role of probability in making inferences with variable data by building models of real world events and using them to simulate repeated samples.
Descriptors: Statistical Inference, Probability, Mathematics Instruction, Mathematical Models
Peer reviewed Peer reviewed
Direct linkDirect link
Galbraith, Peter – Australian Mathematics Education Journal, 2020
Recently a teacher friend enquired about the S-I-R equations for disease spread, and what follows was stimulated by that exchange. COVID-19 provides an opportunity to put mathematical flesh on verbal bones such as "self-isolation", "lockdown", "herd immunity", "flattening the curve", "closed…
Descriptors: Mathematical Models, Problem Solving, Computation, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Shelton, Therese; Laurent, Theresa; Agyemang-Barimah, Beulah – PRIMUS, 2019
We present adaptable activities for models of drug movement in the human body -- pharmacokinetics -- that motivate the learning of ordinary differential equations with an interdisciplinary topic. Specifically, we model aspirin, caffeine, and digoxin. We discuss the pedagogy of guiding students to understand, develop, and analyze models,…
Descriptors: Equations (Mathematics), Active Learning, Calculus, Pharmacology
Peer reviewed Peer reviewed
Direct linkDirect link
Rodriguez, Jon-Marc G.; Lazenby, Katherine; Scharlott, Leah J.; Hunter, Kevin H.; Becker, Nicole M. – Journal of Chemical Education, 2020
Metamodeling ideas move beyond using a model to solve a problem to consider the nature and purpose of a model, such as reasoning about a model's empirical basis and understanding why and how a model might change or be replaced. Given that chemistry relies heavily on the use of models to describe particulate-level phenomena, developing…
Descriptors: Science Instruction, College Science, Undergraduate Study, Inquiry
Peer reviewed Peer reviewed
Direct linkDirect link
Langbeheim, Elon – Journal of Chemical Education, 2020
Excluded-volume interactions are ubiquitous to modeling the average size of polymers in solution. This paper shows how simulations can be used by students to explore the emergence of mathematical scaling relations from excluded-volume interactions. Simulations provide robust visual representations of the system, and can be used to investigate a…
Descriptors: Simulation, Plastics, Teaching Methods, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Diedrichs, Danilo R. – PRIMUS, 2019
Harvesting models based on ordinary differential equations are commonly used in the fishery industry and wildlife management to model the evolution of a population depleted by harvest mortality. We present a project consisting of a series of scenarios based on fishery harvesting models to teach the application of theoretical concepts learned in a…
Descriptors: Mathematical Models, Equations (Mathematics), Calculus, Industry
Peer reviewed Peer reviewed
Direct linkDirect link
McCarthy, Chris; Lan, Jie; Li, Jieying – PRIMUS, 2019
We present noncompetitive adsorption as "particles in a box with one sticky wall." We start with a general model that can be modeled as a simple ordinary differential equation (ODE). To verify the ODE students run a computer simulation. The ODE's solution imperfectly fits the simulation's data. This leads to the diffusion partial…
Descriptors: Equations (Mathematics), Mathematical Models, Problem Solving, Computer Simulation
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8