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OECD Publishing, 2025
As education systems adapt to evolving societal and technological demands, mathematics curricula must also evolve. Recent trends highlight challenges such as declines in student performance and gaps between intended learning goals and real-world applications. Integrating competencies like data literacy, computational thinking, and problem-solving…
Descriptors: Educational Change, Mathematics Curriculum, Educational Trends, Mathematics Education
Irene Mauricio Cazorla; Miriam Cardoso Utsumi; Sandra Maria Magina – International Electronic Journal of Mathematics Education, 2023
This article aims to present a first approximation of the conceptual field of measures of central tendency (MCT), grounded in the theory of conceptual fields. We propose six situations according to type of variable, data presentation (raw or grouped) and amount of data. We revisit specific situations for the mean and exemplify several…
Descriptors: Mathematics Education, Mathematical Concepts, Data, Elementary School Mathematics
Nadia Stoyanova Kennedy; Boyan Kostadinov; Sandie Han – Mathematics Teaching Research Journal, 2025
This study examines the implementation of a course module that integrated computing and data analysis. The module aimed to engage prospective mathematics teachers in the practice of working with datasets and analyzing data to investigate questions related to local Brooklyn schools, as well as to gain deeper insight into the students and…
Descriptors: Mathematics Education, Mathematics Teachers, Preservice Teachers, Preservice Teacher Education
National Academies Press, 2018
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will…
Descriptors: Undergraduate Students, Data, Data Analysis, Information Utilization
Weintrop, David; Beheshti, Elham; Horn, Michael; Orton, Kai; Jona, Kemi; Trouille, Laura; Wilensky, Uri – Journal of Science Education and Technology, 2016
Science and mathematics are becoming computational endeavors. This fact is reflected in the recently released Next Generation Science Standards and the decision to include "computational thinking" as a core scientific practice. With this addition, and the increased presence of computation in mathematics and scientific contexts, a new…
Descriptors: Secondary School Mathematics, Secondary School Science, High School Students, Mathematics Education
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
Toews, Carl – PRIMUS, 2012
Mathematical modeling occupies an unusual space in the undergraduate mathematics curriculum: typically an "advanced" course, it nonetheless has little to do with formal proof, the usual hallmark of advanced mathematics. Mathematics departments are thus forced to decide what role they want the modeling course to play, both as a component of the…
Descriptors: Majors (Students), Mathematics Curriculum, Undergraduate Students, Communication Skills
Narli, Serkan; Sinan, Olcay – Educational Sciences: Theory and Practice, 2011
Individuals' thoughts and attitudes towards biotechnology have been investigated in many countries. A Likert-type scale is the most commonly used scale to measure attitude. However, the weak side of a likert-type scale is that different responses may produce the same score. The Rough set method has been regarded to address this shortcoming. A…
Descriptors: Measures (Individuals), Genetics, Biotechnology, Engineering
Tolvanen, Asko; Kiuru, Noona; Leskinen, Esko; Hakkarainen, Kai; Inkinen, Mikko; Lonka, Kirsti; Salmela-Aro, Katariina – International Journal of Behavioral Development, 2011
This study presents a new approach to estimation of a nonlinear growth curve component with fixed and random effects in multilevel modeling. This approach can be used to estimate change in longitudinal data, such as day-of-the-week fluctuation. The motivation of the new approach is to avoid spurious estimates in a random coefficient regression…
Descriptors: Monte Carlo Methods, Computation, Longitudinal Studies, Teaching Methods
Seethaler, Pamela M. – ProQuest LLC, 2008
The purpose of this study was to examine the reliability, validity, and predictive utility of 3 measures for screening kindergarten students for risk for math difficulty (MD). The screening measures assessed number sense and computational fluency, constructs central to typical early mathematical development. Conceptual and operational outcomes…
Descriptors: Prediction, Kindergarten, Grade 1, Predictive Validity
Osler, Thomas J.; Tsay, Jeffrey – Mathematics and Computer Education, 2005
In this paper, the authors evaluate the series and integrals presented by P. Glaister. The authors show that this function has the Maclauren series expansion. The authors derive the series from the integral in two ways. The first derivation uses the technique employed by Glaister. The second derivation uses a change in variable in the integral.
Descriptors: Mathematics, Mathematics Education, Calculus, Data Analysis
Arizona Department of Education, 2009
Every student should understand and use all concepts and skills from the previous grade levels. The standard is designed so that new learning builds on preceding skills. Communications, Problem-solving, Reasoning & Proof, Connections, and Representation are the process standards that are embedded throughout the teaching and learning of all…
Descriptors: Numeracy, Number Concepts, Grade 3, Mathematics Education
Arizona Department of Education, 2009
Every student should understand and use all concepts and skills from the previous grade levels. The standard is designed so that new learning builds on preceding skills. Communications, Problem-solving, Reasoning & Proof, Connections, and Representation are the process standards that are embedded throughout the teaching and learning of all…
Descriptors: Numeracy, Number Concepts, Grade 5, Mathematics Education
Lesh, Richard; Caylor, Elizabeth; Gupta, Shweta – International Journal of Computers for Mathematical Learning, 2007
The goal of this paper is to demonstrate the infrastructural nature of many modern conceptual technologies. The focus of this paper is on conceptual tools associated with elementary types of data modeling. We intend to show a variety of ways in which these conceptual tools not only express thinking, but also mold and shape thinking. And those ways…
Descriptors: Mathematics Education, Mathematical Models, Mathematics Instruction, Data Analysis
Peer reviewedShearer, Edmund C. – Journal of College Science Teaching, 1976
Describes the use of a programmable calculator for student experiments, grading of laboratory reports, and assigning accuracy and precision scores. (GS)
Descriptors: Chemistry, College Science, Computation, Data Analysis
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