NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20252
Since 202419
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 19 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
William Campillay-Llanos; Noemí Cárcamo-Mansilla – Discover Education, 2025
Nowadays, it is essential to promote an interdisciplinary approach in classrooms, integrating disciplines such as biology and mathematics. This necessitates familiarity with specific problem-solving practices employed by the expert community, such as mathematical modelling. This perspective piece explores a mathematical modelling practice to…
Descriptors: Interdisciplinary Approach, Biology, Mathematics, Mathematical Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Marco Vassallo – International Journal of Assessment Tools in Education, 2024
Imaginary latent variables are variables with negative variances and have been used to implement constraints in measurement models. This article aimed to advance this practice and rationalize the imaginary latent variables as a method to detect possible latent deficiencies in measurement models. This rationale is based on the theory of complex…
Descriptors: Structural Equation Models, Numbers, Mathematics, Mathematical Concepts
Peer reviewed Peer reviewed
Direct linkDirect link
Sooyong Lee; Suhwa Han; Seung W. Choi – Journal of Educational Measurement, 2024
Research has shown that multiple-indicator multiple-cause (MIMIC) models can result in inflated Type I error rates in detecting differential item functioning (DIF) when the assumption of equal latent variance is violated. This study explains how the violation of the equal variance assumption adversely impacts the detection of nonuniform DIF and…
Descriptors: Factor Analysis, Bayesian Statistics, Test Bias, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Xin Lin; Peng Peng; Xiuwen Song; Qile Liu – Educational Psychology Review, 2025
The current meta-analysis investigates the longitudinal association between prior and subsequent mathematics performance, involving mathematics measured at three time points, and to identify potential factors that could moderate this association, including age, time lag, and types of mathematics. Our analysis included 105 studies, comprising 111…
Descriptors: Longitudinal Studies, Prior Learning, Mathematics, Mathematics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Sofie Ye; Maja Elmgren; Magnus Jacobsson; Felix M. Ho – Chemistry Education Research and Practice, 2024
Problem solving in chemical kinetics poses substantial challenges for university students since it often involves significant use of mathematics as a tool and language, with challenging translations and transitions between chemical phenomena and mathematical representations. In this paper, we present key findings from a study investigating…
Descriptors: Problem Solving, Chemistry, Kinetics, Mathematics
Peer reviewed Peer reviewed
Direct linkDirect link
Serife Sevinc; Cheryl Lizano – Mathematics Education Research Journal, 2024
This study aimed to explore preservice elementary teachers' use of a bar model as a heuristic for conceptualising relationships between quantities in situations involving ratio and percentages. As a part of a larger project, we focused on two preservice teachers, Maia and Jane, and investigated their solution paths in ratio and percentage problems…
Descriptors: Problem Solving, Mathematics, Preservice Teachers, Teacher Education Programs
Peer reviewed Peer reviewed
Direct linkDirect link
Forest Mannan – International Journal of Mathematical Education in Science and Technology, 2024
This article considers starting with an existing SIMIODE modeling scenario [Winkel, B. (2015). 1-031-CoolIt-ModelingScenario. SIMIODE (Version 2.0). "QUBES Educational Resources." https://doi.org/10.25334/3WG8-EC31] that develops Newton's law of cooling by considering data on the cooling of a beaker of water in a room, and expanding upon…
Descriptors: Calculus, Mathematical Models, Programming, Heat
Peer reviewed Peer reviewed
Direct linkDirect link
Elina Palmgren; Tapio Rasa – Science & Education, 2024
Modelling roles of mathematics in physics has proved to be a difficult task, with previous models of the interplay between the two disciplines mainly focusing on mathematical modelling and problem solving. However, to convey a realistic view of physics as a field of science to our students, we need to do more than train them to become fluent in…
Descriptors: Physics, Mathematical Models, Science Instruction, Problem Solving
Peer reviewed Peer reviewed
Direct linkDirect link
Kai-Lin Yang; Janina Krawitz; Stanislaw Schukajlow; Chai-Ching Yang; Yu-Ping Chang – European Journal of Psychology of Education, 2024
Based on expectancy-value theory, this study adopted a person-centred approach to explore the heterogeneous profiles of secondary German and Taiwanese students' mathematical modelling task values, and examined the differences in their mathematical modelling performance, controlling for the variable of intra-mathematical knowledge among the…
Descriptors: Foreign Countries, Mathematical Models, Knowledge Level, Secondary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
K. K. Mashood; Arvind Kumar; Anwesh Mazumdar – International Journal of Mathematical Education in Science and Technology, 2024
Working with approximations is a common practice in physics. This paper presents an exploratory study of student understanding of some of the elementary aspects of approximations encountered in college physics. For this purpose, a questionnaire (a set of 14 multiple-choice questions) was developed to probe how students dealt with these aspects in…
Descriptors: Physics, Science Instruction, Mathematical Models, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Xiangzi Ouyang; Xiao Zhang; Qiusi Zhang; Jimmy de la Torre; Shirong Min – Journal of Educational Psychology, 2024
This study aims to classify subtypes of mathematics disability (MD) using a novel classification method, cognitive diagnostic models (CDMs), and examine whether domain-general skills, namely, linguistic, working memory, and spatial skills, were related to the identification of the subtypes. Participants were 454 children (246 boys; age: M ± SD =…
Descriptors: Foreign Countries, Students with Disabilities, Mathematics, Grade 2
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Milena Carolina dos Santos Mangueira; Francisco Regis Vieira Alves; Paula Maria Machado Cruz Catarino; Elen Viviani Pereira Spreafico – Pedagogical Research, 2024
This work is a segment of an ongoing doctoral research in Brazil. The Leonardo numbers and the Leonardo sequence have gained attention from mathematicians and the academic community. Despite being a relatively new sequence within mathematical literature, its discussion has intensified over the past five years, giving rise to other branches, with…
Descriptors: Mathematics Instruction, Teaching Methods, Doctoral Students, Mathematics
Peer reviewed Peer reviewed
Direct linkDirect link
Miriam Gates; Lillie Albert – Journal of Mathematics Education at Teachers College, 2024
Mathematical "magic," or experiences of beauty and creativity for K-12 mathematics students, can contribute to deepened content understanding. However, creating opportunities for mathematical "magic" in mathematics classrooms has been a challenge for classroom practitioners. To support development of these experiences in…
Descriptors: Mathematics Teachers, Beginning Teachers, Mentors, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Gang Lei – Interactive Learning Environments, 2024
With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…
Descriptors: Educational Technology, Artificial Intelligence, Blended Learning, Data
Previous Page | Next Page »
Pages: 1  |  2