Publication Date
In 2025 | 20 |
Since 2024 | 127 |
Since 2021 (last 5 years) | 480 |
Since 2016 (last 10 years) | 1052 |
Since 2006 (last 20 years) | 1914 |
Descriptor
Mathematical Models | 7293 |
Mathematics Instruction | 1241 |
Statistical Analysis | 929 |
Problem Solving | 895 |
Higher Education | 886 |
Teaching Methods | 827 |
Equations (Mathematics) | 820 |
Foreign Countries | 787 |
Mathematics Education | 752 |
Estimation (Mathematics) | 545 |
Comparative Analysis | 509 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Teachers | 318 |
Practitioners | 315 |
Researchers | 286 |
Administrators | 19 |
Students | 19 |
Policymakers | 16 |
Community | 1 |
Counselors | 1 |
Media Staff | 1 |
Support Staff | 1 |
Location
Australia | 121 |
Turkey | 84 |
Canada | 53 |
Netherlands | 46 |
United States | 45 |
United Kingdom | 42 |
Indonesia | 33 |
Germany | 30 |
California | 27 |
United Kingdom (England) | 25 |
China | 24 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards with or without Reservations | 3 |
Does not meet standards | 2 |
Sang-June Park; Youjae Yi – Journal of Educational and Behavioral Statistics, 2024
Previous research explicates ordinal and disordinal interactions through the concept of the "crossover point." This point is determined via simple regression models of a focal predictor at specific moderator values and signifies the intersection of these models. An interaction effect is labeled as disordinal (or ordinal) when the…
Descriptors: Interaction, Predictor Variables, Causal Models, Mathematical Models
Jean Marie Linhart – International Journal of Mathematical Education in Science and Technology, 2024
The historic total global human population dataset is available on Wikipedia and provides an opportunity for modelling with simple models such as the exponential and logistic differential equations for population. Using the per-capita population growth rate (PPGR) predicted by these two models and estimated PPGR from the data, we are able to…
Descriptors: Calculus, Population Growth, Mathematical Models
Adam N. Glynn; Miguel R. Rueda; Julian Schuessler – Sociological Methods & Research, 2024
Post-instrument covariates are often included as controls in instrumental variable (IV) analyses to address a violation of the exclusion restriction. However, we show that such analyses are subject to biases unless strong assumptions hold. Using linear constant-effects models, we present asymptotic bias formulas for three estimators (with and…
Descriptors: Causal Models, Statistical Inference, Error of Measurement, Least Squares Statistics
Anna McAllister; Mark McCartney; David H. Glass – International Journal of Mathematical Education in Science and Technology, 2024
Discrete time models, one linear and one non-linear, are investigated, both with a herbivore species that consumes a basal food source species. Results are presented for coexistence of the species and to illustrate chaotic behaviour as parameters are varied in the non-linear model. The results indicate the benefit of fertilization in terms of the…
Descriptors: Lesson Plans, Mathematics Activities, Mathematics Instruction, Mathematical Models
Liang Kong – International Journal of Mathematical Education in Science and Technology, 2024
The COVID-19 pandemic, like past historical events such as the Vietnam War or 9/11, will shape a generation. Mathematics educators can seize this unprecedented opportunity to teach the principles of mathematical modeling in epidemiology. Compartmental epidemiological models, such as the SIR (susceptible-infected-recovered), are widely used by…
Descriptors: Mathematics Instruction, Teaching Methods, Advanced Courses, Epidemiology
Peter Rowlett; Chris Graham; Christian Lawson-Perfect – International Journal of Mathematical Education in Science and Technology, 2025
Partially automated assessment is implemented via the 'Printable worksheet' mode in the Numbas e-assessment system to create a mathematical modelling worksheet which is individualised with random parameters but completed and marked as if it were a non-automated piece of coursework, preserving validity while reducing the risk of academic misconduct…
Descriptors: Automation, Worksheets, Mathematical Models, Computer Assisted Testing
Lu, Yu; Chen, Penghe; Pian, Yang; Zheng, Vincent W. – IEEE Transactions on Learning Technologies, 2022
In this article, we advocate for and propose a novel concept map driven knowledge tracing (CMKT) model, which utilizes educational concept map for learner modeling. This article particularly addresses the issue of learner data sparseness caused by the unwillingness to practice and irregular learning behaviors on the learner side. CMKT considers…
Descriptors: Concept Mapping, Learning Processes, Prediction, Models
Ernest C. Davenport Jr.; Mark L. Davison; Kyungin Park – Journal of Educational and Behavioral Statistics, 2024
The following study shows how reparameterizations and constraints of the general linear model can serve to parse quantitative and qualitative aspects of predictors. We demonstrate three different approaches. The study uses data from the High School Longitudinal Study of 2009 on mathematics course-taking and achievement as an example. Results show…
Descriptors: High School Students, Mathematics Instruction, Mathematics Achievement, Grade 9
Thomas J. Pfaff – PRIMUS, 2024
The logistic differential equation is ubiquitous in calculus and differential equations textbooks. If the model is developed from first principles in these courses, it is usually done in an abstract mathematical way, rather than in one based in ecology. In this short note, we look at examples of how the model is derived in mathematical texts and…
Descriptors: Calculus, Mathematics Instruction, Textbooks, Ecology
Jablonski, Simone – Educational Studies in Mathematics, 2023
Mathematical modelling emphasizes the connection between mathematics and reality -- still, tasks are often exclusively introduced inside the classroom. The paper examines the potential of different task settings for mathematical modelling with real objects: outdoors at the real object itself, with photographs and with a 3D model representation. It…
Descriptors: Mathematics Instruction, Mathematical Models, Secondary School Students, Secondary School Mathematics
Michael Kane – ETS Research Report Series, 2023
Linear functional relationships are intended to be symmetric and therefore cannot generally be accurately estimated using ordinary least squares regression equations. Orthogonal regression (OR) models allow for errors in both "Y" and "X" and therefore can provide symmetric estimates of these relationships. The most…
Descriptors: Factor Analysis, Regression (Statistics), Mathematical Models, Relationship
Jianbin Fu; Xuan Tan; Patrick C. Kyllonen – Applied Measurement in Education, 2024
A process is proposed to create the one-dimensional expected item characteristic curve (ICC) and test characteristic curve (TCC) for each trait in multidimensional forced-choice questionnaires based on the Rank-2PL (two-parameter logistic) item response theory models for forced-choice items with two or three statements. Some examples of ICC and…
Descriptors: Item Response Theory, Questionnaires, Measurement Techniques, Statistics
Zeynep Gül Dertli; Bahadir Yildiz – Anatolian Journal of Education, 2025
Mathematical modelling and modelling activities are important for making sense of mathematical concepts in different extracurricular and daily life contexts. However, teachers may have difficulties in designing these activities in a way to establish meaningful relationships with real life, in accordance with the modeling process and the objectives…
Descriptors: Prompting, Engineering, Mathematical Models, Mathematics Activities
Gascón, Josep; Nicolás, Pedro – International Journal of Mathematical Education in Science and Technology, 2022
We consider the following hypothesis: whereas, the institutions in charge of the teaching of mathematics for future professional mathematicians (IPM, in short) share a "didactic paradigm" (strongly based on logical arguments), there does not seem to be such a thing in secondary mathematics education. In this work, we analyse the notion…
Descriptors: Mathematics Education, Secondary School Mathematics, Models, Mathematics Teachers
Fabiana Zama – International Journal of Mathematical Education in Science and Technology, 2024
This paper describes a teaching experiment in a Numerical Methods course for Master of Science students. The experiment uses scientific papers to develop modelling studies in the context of wine fermentation microbial interactions. The course involves theoretical and laboratory classes that focus on implementing numerical methods using Matlab for…
Descriptors: Masters Programs, Mathematical Models, Graduate Students, Microbiology