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Datsenko, I.; Lozovenko, O.; Minaiev, Yu; Zadoian, M. – Physics Education, 2019
The purpose of this publication is to bring attention to some physics problems whose answers seem to be paradoxical and, at first glance, do not agree with a limiting case check. Solving a problem on the motion of a system consisting of two masses and a spring, it is natural to examine the answer by considering a case when a spring constant is…
Descriptors: Problem Solving, Motion, Mathematical Models, Mechanics (Physics)
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Stohlmann, Micah; Yang, Yichen – International Journal of Mathematical Education in Science and Technology, 2023
Mathematical modelling has garnered national and international interest due to its importance. Mathematical modelling can develop students' mathematical understandings, teamwork and communication practices. The ability for teachers to select appropriate mathematical modelling tasks is important to ensure the benefits listed for students are…
Descriptors: Mathematical Models, Mathematics Activities, Mathematics Instruction, Teacher Developed Materials
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Berget, Ingeborg Katrin Lid – Teaching Mathematics and Its Applications, 2023
The teaching and learning of mathematical modelling involve engagement in real-world situations and the mathematization of such situations. In this study, the communication between teachers and students in 13 lessons (0.75-1.5 hours each) in two Norwegian upper secondary classrooms is observed and recorded to explore how modelling is communicated…
Descriptors: Story Telling, Mathematical Models, Teacher Student Relationship, Secondary School Students
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Cameron, Michael P. – Journal of Economic Education, 2023
Media bias is an important and underexplored feature of the economics of information. In this article, the author outlines two models that can be used to illustrate media bias in a policy-oriented undergraduate economics or public policy course. The models rely on relatively simple and intuitive underlying assumptions and draw on related empirical…
Descriptors: Economics Education, Undergraduate Students, Mathematical Models, Competition
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Mingheng Li – Chemical Engineering Education, 2024
Project-based learning (PBL) empowers students to become active learners. In this work computational reverse osmosis (RO) projects developed from industrial case studies and research were implemented in several chemical engineering courses to enhance student learning experience. Students not only gained knowledge in water treatment, but also…
Descriptors: Chemical Engineering, Engineering Education, Learning Experience, Student Projects
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Phillip A. Boda; Shruti Bathia; Libby Gerard; Marcia C. Linn – Instructional Science: An International Journal of the Learning Sciences, 2024
Advances in graphing technologies and learning sciences pedagogy have the potential to equitably support students when exploring complex systems depicting dynamic relationships across multiple disciplinary topics in Science, Technology, Engineering, and Mathematics (STEM). We report on the cumulative impact of science units designed in a Research…
Descriptors: STEM Education, Elementary Secondary Education, Graphs, Interdisciplinary Approach
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Wim J. van der Linden; Luping Niu; Seung W. Choi – Journal of Educational and Behavioral Statistics, 2024
A test battery with two different levels of adaptation is presented: a within-subtest level for the selection of the items in the subtests and a between-subtest level to move from one subtest to the next. The battery runs on a two-level model consisting of a regular response model for each of the subtests extended with a second level for the joint…
Descriptors: Adaptive Testing, Test Construction, Test Format, Test Reliability
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Zehra Taspinar Sener; Yüksel Dede – Irish Educational Studies, 2024
This study aims to reveal how model eliciting principles are used in the process of designing, applying, and evaluating teacher candidates' model-eliciting activities. This study was conducted in three stages in a multi-tiered teaching experiment. Firstly, 15 teacher candidates designed activities for Grade 7 students after they were trained on…
Descriptors: Grade 7, Mathematical Models, Mathematics Instruction, Preservice Teacher Education
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Riyan Hidayat; Ahmad Fauzi Mohd Ayub; Harris Shah Abd Hamid; Nurihan Nasir – International Electronic Journal of Mathematics Education, 2025
Mathematical modeling is crucial in the field of education, particularly in mathematics, as it enhances students' mathematical skills and prepares them for solving real-world problems. The study focuses on the challenges of teaching mathematical modeling, specifically in the Malaysian education system. We utilized a case study approach, involving…
Descriptors: Teaching Methods, Mathematical Models, Mathematics Instruction, Teacher Attitudes
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von Krause, Mischa; Radev, Stefan T.; Voss, Andreas; Quintus, Martin; Egloff, Boris; Wrzus, Cornelia – Journal of Intelligence, 2021
In recent years, mathematical models of decision making, such as the diffusion model, have been endorsed in individual differences research. These models can disentangle different components of the decision process, like processing speed, speed-accuracy trade-offs, and duration of non-decisional processes. The diffusion model estimates individual…
Descriptors: Decision Making, Mathematical Models, Cognitive Processes, Individual Differences
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Deniz Yilmaz, Demet; Akgun, Levent – International Journal of Curriculum and Instruction, 2021
The aim of this study is to investigate pre-service mathematics teachers' beliefs towards mathematics and modelling in mathematical modelling processes. To achieve this aim, a phenomenology design was utilized. The study was conducted with 30 elementary level pre-service mathematics teachers receiving mathematical modelling courses. A…
Descriptors: Preservice Teachers, Teacher Attitudes, Mathematical Models, Elementary School Mathematics
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Aydogdu, Seyhmus – Journal of Educational Computing Research, 2021
Student modeling is one of the most important processes in adaptive systems. Although learning is individual, a model can be created based on patterns in student behavior. Since a student model can be created for more than one student, the use of machine learning techniques in student modeling is increasing. Artificial neural networks (ANNs),…
Descriptors: Mathematical Models, Artificial Intelligence, Bayesian Statistics, Learning Processes
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Czocher, Jennifer A.; Melhuish, Kathleen; Kandasamy, Sindura Subanemy; Roan, Elizabeth – International Journal of Research in Undergraduate Mathematics Education, 2021
This paper addresses two aspects of integrating mathematics education with engineering education that may address persistence of engineering majors (and STEM majors more broadly): an emphasis on modeling as a vehicle for more authentic learning activity (Niss et al. 2007), and the need for measures that can support academic units' efforts to…
Descriptors: Mathematical Models, Engineering Education, STEM Education, Undergraduate Students
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Ralph, Michael – International Journal of Mathematical Education in Science and Technology, 2021
Synthesis and diffusion of a pigment molecule can be simulated using deterministic equations in computer software. These lesson materials describe how tiger stripes emerge from manipulations in this code, and how students can engage in mathematical inquiry by exploring these reaction-diffusion equations.
Descriptors: Equations (Mathematics), Mathematical Models, Science Instruction, Mathematics Instruction
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Fralish, Zachary David; Hallmark, Nathan; Marshall, Johnathon – International Electronic Journal of Mathematics Education, 2021
The SIMIODE Challenge for Undergraduates in Differential Equation Modelling (SCUDEM) offers students the opportunity to improve their mathematical capacity, ability to think critically, and communication skills through researching, developing, and presenting on a differential equations model for a natural phenomenon. During the fall 2019 SCUDEM,…
Descriptors: Undergraduate Students, College Mathematics, Equations (Mathematics), Mathematical Models
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