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Kerri Spooner – International Journal of Mathematical Education in Science and Technology, 2024
The student experience with mathematical modelling has the potential to differ in nature to the experience of a typical mathematics student. The research reported in this paper forms part of a broader study looking into tertiary learning experiences for mathematical modelling. This paper reports on: What are the student experiences when learning…
Descriptors: Mathematical Models, Mathematics Education, Foreign Countries, Student Experience
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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
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Erin Turner; Julia Aguirre; Mary Alice Carlson; Jennifer Suh; Elizabeth Fulton – ZDM: Mathematics Education, 2024
Mathematical modeling (MM) -- a cyclical process that involves using mathematics to make-sense of and analyze relevant, real-world situations -- has the potential to advance equity and challenge spaces of marginalization in the elementary mathematics classroom. When informed by culturally responsive teaching practices, MM creates opportunities to…
Descriptors: Mathematical Models, Mathematics Instruction, Culturally Relevant Education, Elementary School Teachers
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Justin Boutilier; Jonas Jonasson; Hannah Li; Erez Yoeli – Society for Research on Educational Effectiveness, 2024
Background: Randomized controlled trials (RCTs), or experiments, are the gold standard for intervention evaluation. However, the main appeal of RCTs--the clean identification of causal effects--can be compromised by interference, when one subject's actions can influence another subject's behavior or outcomes. In this paper, we formalize and study…
Descriptors: Randomized Controlled Trials, Intervention, Mathematical Models, Interference (Learning)
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Vergel, Rodolfo; Godino, Juan D.; Font, Vicenç; Pantano, Óscar L. – Mathematics Education Research Journal, 2023
The theoretical reflection on the nature of school algebra and the development of algebraic thinking from the first educational levels is a relevant topic in mathematics education. In this paper, we first summarize and clarify the positions held on this topic by two theoretical frameworks: the Theory of Objectification and the Onto-semiotic…
Descriptors: Algebra, Semiotics, Mathematical Concepts, Theories
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Siller, Hans-Stefan; Elschenbroich, Hans-Jürgen; Greefrath, Gilbert; Vorhölter, Katrin – ZDM: Mathematics Education, 2023
Mathematical concepts are regularly used in media reports concerning the COVID-19 pandemic. These include growth models, which attempt to explain or predict the effectiveness of interventions and developments, as well as the reproductive factor. Our contribution has the aim of showing that basic mental models about exponential growth are important…
Descriptors: Mathematical Models, Mathematical Concepts, COVID-19, Pandemics
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Park, JinHyeong; Kim, Dong-Won – Educational Studies in Mathematics, 2023
Coordination of theoretical probability and relative frequency estimates is challenging in probability teaching and learning. Modeling is one of the ways of teaching and learning that facilitates inquiry between these two perspectives. Given that, we designed a modeling activity to support fifteen secondary students in investigating theoretical…
Descriptors: Probability, Computation, Mathematics Instruction, Mathematical Models
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Siller, Hans-Stefan; Nitzan-Tamar, Ortal; Kohen, Zehavit – ZDM: Mathematics Education, 2023
Mathematical modelling (MM) plays a pivotal role in the integration of Science, Technology, Engineering and Mathematics (STEM) into school studies. This current empirical study suggests using a four-step solution plan as a scaffolding tool during the instruction of MM tasks in a STEM context in formal school mathematics. The study goals are…
Descriptors: Mathematical Models, STEM Education, Scaffolding (Teaching Technique), Expertise
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Lopes, Aldo Peres Campos e – Teaching Mathematics and Its Applications, 2023
This paper presents results of a study aimed at describing and discussing evidence/features of advanced algebraic thinking processes. To achieve these objectives, we analysed the written production of students enrolled in engineering courses working on mathematical modelling tasks related to differential equations. Our guiding question was as…
Descriptors: Algebra, Mathematics Skills, Cognitive Processes, Equations (Mathematics)
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Semenenko, Liliia; Kirsanov, Serhii; Onofriichuk, Petro; Vasianovych, Mykola; Levchenko, Ihor – Journal of Curriculum and Teaching, 2022
High requirements for professional training of Defence Specialists were and remain the main guarantee of successful functioning of any military structure. Continuous improvement of the educational process in higher military educational institutions is the basis for its transformation to the conditions of the current situation in the world. In the…
Descriptors: Military Training, Mathematical Models, Higher Education, Study
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Lingefjärd, Thomas; Ahmet, Guner – Physics Teacher, 2022
The subject of mathematics is important for many other subjects, including physics. The questions we ask in physics often need a mathematical translation to be graphically interpreted and transformed. Students learn physics when interacting with physical questions; questions from physics also give insights and discoveries in mathematical problems.…
Descriptors: Science Instruction, Teaching Methods, Physics, Computer Oriented Programs
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Jiang, Yongfeng; Li, Yuan – International Journal of Information and Communication Technology Education, 2022
This paper has designed a professional and practical SIMD computer mathematical model based on the SIMD physical machine model combined with the variable addition method. Furthermore, the model is applied in image collection, processing, and display operations, and a SIMD data parallel image processing system is finally established by absorbing…
Descriptors: Algorithms, Artificial Intelligence, Computers, Mathematical Models
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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
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Greefrath, Gilbert; Siller, Hans-Stefan; Vorhölter, Katrin; Kaiser, Gabriele – ZDM: Mathematics Education, 2022
Discrete mathematics and mathematical modelling, along with the educational discourse surrounding these, have many connections. However, ways that the educational discourse on discrete mathematics can benefit from the inclusion of examples of mathematical modelling and the accompanying discussion are currently under-researched. In this paper, we…
Descriptors: Mathematical Models, Graphs, Mathematics Instruction, Secondary School Mathematics
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G. R. Fulford – International Journal of Mathematical Education in Science and Technology, 2024
Mathematical modelling has great potential to motivate students towards studying mathematics. This article discusses several different approaches to integrating research work with a second-year undergraduate, mathematical modelling subject. I found sourcing papers from the areas of epidemiology and ecology to be a fruitful source area,…
Descriptors: Mathematical Models, Undergraduate Students, College Mathematics, Case Method (Teaching Technique)
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