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Carreira, Susana; Baioa, Ana Margarida – ZDM: The International Journal on Mathematics Education, 2018
Based on a teaching intervention with modelling activities involving experimental work in 9th grade classes, the goal of this study is to find out how students estimate the credibility a modelling task setting when it integrates a hands-on experimental approach. The theoretical background is based on the concept of authenticity and its long…
Descriptors: Mathematical Models, Mathematics Instruction, Teaching Methods, Observation
Groshong, Kimberly A. – ProQuest LLC, 2018
This dissertation reports the research methodology and findings of three studies focused on mathematical modeling as a structured problem-solving process where the student translates relevant details from a situation, event, or phenomena in daily life into mathematical language with mathematically-defined structures and operations, which form the…
Descriptors: Mathematical Models, Mathematics Skills, Problem Solving, STEM Education
Enderle, Patrick; King, Natalie; Margulieux, Lauren – Science Teacher, 2021
Teaching about wave structure and function is a critical element of any physical science curriculum and supported by "Next Generation Science Standards (NGSS)" PS4: Waves and Their Applications in Technologies for Information Transfer. To support students' learning of these ideas, teachers often rely on developing graphic models of a…
Descriptors: Science Education, Standards, Teaching Methods, Science Curriculum
Kularajan, Sindura Subanemy; Czocher, Jennifer A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
In this paper we address the question, how do quantitative reasoning and covariational reasoning present as students build structural conceptions of real-world situations. We use data from an exploratory teaching experiment with an undergraduate STEM major to illustrate the explanatory roles quantitative reasoning and covariational reasoning play…
Descriptors: Mathematics, Thinking Skills, Concept Formation, Undergraduate Students
Zhang, Zhiyong; Zhang, Danyang – Grantee Submission, 2021
Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…
Descriptors: Statistics Education, Definitions, Course Descriptions, Computer Science Education
Santri, Diah Dwi; Hartono, Yusuf; Somakim – Journal of Education and Learning (EduLearn), 2019
This study aims to produce a learning trajectory using the mathematical modeling in helping students to understand the concept of algebraic operations. Therefore, the design research was chosen to meet the research aims and to give in formulating and developing local instructional theory in learning algebraic operations. Learning trajectory…
Descriptors: Mathematical Models, Algebra, Mathematics Instruction, Video Technology
Bergsten, Christer; Frejd, Peter – ZDM: The International Journal on Mathematics Education, 2019
Based on an investigation of research literature on the role of mathematics within the context of STEM education and twenty-first century skills, this explorative study presents and analyses 19 pre-service teachers' lesson proposals for innovative STEM activities in secondary mathematics classrooms. Drawing on a categorisation of twenty-first…
Descriptors: Mathematics Education, STEM Education, 21st Century Skills, Preservice Teachers
Kotze, H.; Spangenberg, E. D. – Perspectives in Education, 2019
Many engineering subjects rely on the interpretation of symbolic, numeric and graphic representations. Engineering students have challenges pertaining to their mathematical understanding of their actions with a computer algebra system (CAS). We investigated how a mathematical modelling task could mediate varied levels of mathematical…
Descriptors: Foreign Countries, Computer Uses in Education, Algebra, Educational Technology
Agoestanto, Arief; Sukestiyarno, Y. L.; Isnarto; Rochmad; Lestari, M. D. – International Journal of Instruction, 2019
The purpose of this research was to describe the positions and causes of students' errors in algebraic thinking based on the cognitive style. This study was qualitative research with subject consisting of twelve students. The results showed that (1) students with Field Independent type tended to make errors at the stage of comprehension,…
Descriptors: High School Students, Cognitive Style, Secondary School Mathematics, Mathematics Education
Haberman, Shelby J. – ETS Research Report Series, 2020
Best linear prediction (BLP) and penalized best linear prediction (PBLP) are techniques for combining sources of information to produce task scores, section scores, and composite test scores. The report examines issues to consider in operational implementation of BLP and PBLP in testing programs administered by ETS [Educational Testing Service].
Descriptors: Prediction, Scores, Tests, Testing Programs
Stern, David; Stern, Roger; Parsons, Danny; Musyoka, James; Torgbor, Francis; Mbasu, Zach – Statistics Education Research Journal, 2020
The African Data Initiative started as a crowd-sourced campaign to improve the teaching of statistics in African universities. The analysis of climate data provides one suitable context to illustrate ideas that lead to a radical new form of teaching. The problem within the context comes first, the technicalities are largely reduced -- mathematics…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Higher Education
Hutchins, Nicole M.; Biswas, Gautam; Maróti, Miklós; Lédeczi, Ákos; Grover, Shuchi; Wolf, Rachel; Blair, Kristen Pilner; Chin, Doris; Conlin, Luke; Basu, Satabdi; McElhaney, Kevin – Journal of Science Education and Technology, 2020
Synergistic learning combining computational thinking (CT) and STEM has proven to be an effective method for advancing learning and understanding in a number of STEM domains and simultaneously helping students develop important CT concepts and practices. We adopt a design-based approach to develop, evaluate, and refine our Collaborative,…
Descriptors: Physics, Science Instruction, STEM Education, Thinking Skills
Budinski, Natalija – International Journal for Technology in Mathematics Education, 2017
In this paper we display an example of how educational software Geogebra can be used as a tool for the STEM education. Geogebra is used in the process of introducing students in high school to mathematical models of materials science. Scientific results from materials science experiments were used for mathematical modelling and learning about the…
Descriptors: Geometry, Computer Software, STEM Education, High School Students
Tisdell, Christopher C. – International Journal of Mathematical Education in Science and Technology, 2017
Knowing an equation has a unique solution is important from both a modelling and theoretical point of view. For over 70 years, the approach to learning and teaching "well posedness" of initial value problems (IVPs) for second- and higher-order ordinary differential equations has involved transforming the problem and its analysis to a…
Descriptors: Equations (Mathematics), Teaching Methods, Problem Solving, Mathematical Models
Hanson, J. R. – International Journal of Mathematical Education in Science and Technology, 2017
This article explores the process of finding the Fermat point for a triangle ABC in three dimensions. Three examples are presented in detail using geometrical methods. A delightfully simple general method is then presented that requires only the comparison of coordinates of the vertices A, B and C.
Descriptors: Geometry, Geometric Concepts, Mathematical Models, Mathematical Formulas

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