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Tianjiao Wang; Xiaona Xia – SAGE Open, 2023
The study of learning behaviors with multi features is of great significance for interactive cooperation. The data prediction and decision are to realize the comprehensive analysis and value mining. In this study, hierarchical learning behavior based on feature cluster is proposed. Based on the massive data in interactive learning environment, the…
Descriptors: Cluster Grouping, Mathematical Models, Artificial Intelligence, Learning Analytics
Yu-Cheng Chen; Xin-Yu Chen; Zhi-Yuan Lin; Shan-Jing Yao; Dong-Qiang Lin – Journal of Chemical Education, 2023
The utilization of modeling tools has gained significant attention recently. These models typically involve a series of partial differential equations, which can be challenging for novice modelers. This paper presented an approach in practical teaching of modeling tools for ion-exchange chromatography with three parts: model introduction, model…
Descriptors: Chemistry, Mathematical Models, Case Studies, Science Instruction
Seonyoung Hwang; Sunyoung Han – Journal of Mathematics Teacher Education, 2025
This study aimed to observe the competencies of pre-service mathematics teachers in designing mathematical modeling tasks. The participants were 45 pre-service mathematics teachers enrolled in a Mathematics Education Theory course at a university in Seoul, South Korea. Data were collected from surveys and task development reports. The participants…
Descriptors: Preservice Teachers, Mathematics Teachers, Teacher Competencies, Mathematical Models
Tugay Kaçak; Abdullah Faruk Kiliç – International Journal of Assessment Tools in Education, 2025
Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in…
Descriptors: Factor Analysis, Monte Carlo Methods, Mathematical Models, Sample Size
Imre Kocsis; Sandor Hajdu; Robert Mikuska; Peter Korondi – IEEE Transactions on Education, 2025
We have introduced a novel approach to competency-based education in mechatronics from the undergraduate to the postgraduate level. What distinguishes this approach is the integration of modeling and control of sampled systems right from the beginning of the undergraduate education. It is achieved by changing the structure of the first-semester…
Descriptors: Competency Based Education, Undergraduate Study, Electromechanical Technology, Calculus
Elizabeth Roan; Jennifer A. Czocher – International Journal of Mathematical Education in Science and Technology, 2025
This paper reports a study of 10 post-secondary STEM (Science, Technology, Engineering, Mathematics) instructors' beliefs about mathematical modelling and the role of mathematics in STEM coursework. The participants were selected from STEM disciplines that are atypical to the literature base (e.g. anthropology and geography), in order to extend…
Descriptors: College Faculty, STEM Education, Teacher Attitudes, Mathematical Models
Effect of Teaching with Mathematical Modeling on Students' Mathematics Achievements: A Meta-Analysis
Veli Ünlü; Erhan Ertekin – International Journal of Assessment Tools in Education, 2025
Considering its relationships with real life and mathematics, mathematical modeling is one of the most effective ways of learning and teaching mathematics. In this study, the effect of teaching with mathematical modeling on students' mathematics achievement was examined using the meta-analysis method. An effect size of 51 was achieved with 45…
Descriptors: Mathematical Models, Mathematics Instruction, Mathematics Achievement, Teaching Methods
Gülnur Özbek; Miray Dagyar – Asia Pacific Education Review, 2025
The aim of this study is to investigate the production and dissemination of mathematical modeling-based projects by gifted students, intended to solve real-life problems, over the four-year Project Production and Management Program (PPMP). The longitudinal research methodology was utilized to examine the project production process among…
Descriptors: Gifted Education, Problem Solving, Mathematics Education, Mathematical Models
Adrianne L. Jenner; Pamela M. Burrage – International Journal of Mathematical Education in Science and Technology, 2024
Mathematics provides us with tools to capture and explain phenomena in everyday biology, even at the nanoscale. The most regularly applied technique to biology is differential equations. In this article, we seek to present how differential equation models of biological phenomena, particularly the flow through ion channels, can be used to motivate…
Descriptors: Cytology, Mathematical Models, Prediction, Equations (Mathematics)
James S. Wolper – International Journal of Mathematical Education in Science and Technology, 2024
Adjusting the Calculus I curriculum by putting modelling and differential equations literally at its centre leads to a better-organised and better-motivated course. The biggest change is including a section on "qualitative" and "numerical" solutions to ordinary differential equations between the customary sections on…
Descriptors: Mathematics Instruction, Teaching Methods, Advanced Courses, Calculus
J. T. Sandefur – International Journal of Mathematical Education in Science and Technology, 2024
In this paper, we discuss how a professor could have students, using rational and exponential functions, develop models for several different density-dependent populations based on characteristics of the species. Students would then need to choose an appropriate method from among three different analytic methods (find a solution, phase-line…
Descriptors: Population Growth, Sustainability, Agricultural Production, Mathematical Models
Omar A. Naranjo; Steven R. Jones – International Journal of Science and Mathematics Education, 2024
Differential equations (DEs) are a powerful tool for modeling real-world contexts. Most research in this area has examined students' understanding and reasoning with pre-packaged DEs, with little attention being given to setting up sophisticated DEs to model complicated real-world situations. This study contributes through a collective case study…
Descriptors: Equations (Mathematics), Mathematical Models, Relevance (Education), Mathematics Skills
Melike Tural-Sonmez; Ayhan Kursat Erbas – International Journal of Mathematical Education in Science and Technology, 2025
This study examined seventh-grade students' emergent and progressive financial literacy in the context of risk and reward while working on two mathematical modelling tasks. The participants were six seventh-grade students identified as 'good at mathematics' by their teachers. The data sources comprised videotaped group discussions, group…
Descriptors: Mathematical Models, Mathematics Instruction, Grade 7, Risk
Jeliana Intan Permata; Mega Teguh Budiarto; Yusuf Fuad – Educational Process: International Journal, 2025
Background/purpose. Self-efficacy plays a crucial role in enhancing performance in complex tasks such as mathematical modeling, yet its impact remains underexplored. This study examines whether there are influences on students' self-efficacy in modeling. Materials/methods. The research method employs a quantitative design, utilizing regression…
Descriptors: Middle School Students, Mathematical Models, Grade 8, Self Efficacy
Monique Lathan; Manfred Stock – International Perspectives on Education and Society, 2023
In this chapter, the interplay between the development of the discipline, the development of the field of study, and the emergence of professional fields is examined using the example of mathematics. In connection with the formation of the modern research university, mathematics has emerged as an independent scientific discipline and as an…
Descriptors: Mathematics Education, Professionalism, Intellectual Disciplines, Educational Research

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