The Role of the Situation Model in Mathematical Modelling—Task Analyses, Student Competencies, and Teacher Interventions Mathematics Subject Classification (2000) 97C30 · 97C70 · 97D40 · 97D70 · 97M10 (original) (raw)

COGNITIVE MODELLING SKILLS FROM NOVICIATE TO EXPERTNESS

The purpose of this study is to reveal the cognitive modelling skills of 6th grade students after a long term modelling implementation. The cognitive modelling skills are regarded as understanding the problem, simplifying, mathematising, working mathematically, interpreting and validating. Seven-month modelling sequences were designed and conducted, and the first and last implementations were particularly examined in the study. The participants were four students, while the data collection tools were solution papers for two different modelling problems in the implementations and transcriptions of the video records concerning the solution and solution presentation processes. When the data were analysed through a rubric and presented descriptively, it was seen that a development was revealed in cognitive modelling skills from noviciate to expertness. In other words, the students displayed richer approaches in the context of each cognitive modelling skill in the last implementation.

Many faces of mathematical modelling

2014

Mathematical modelling is a concept that covers a wide range of activities. Mathematical modelling can be understood both as formulation of an equation, a function, etc., describing a given situation and as a whole process of creating a model, starting from the real-world situation to the creation of a ready-to-use optimized tool. The work presents different approaches to mathematical modelling from the point of view of teaching mathematics. It presents the results of the research conducted on students (future teachers) regarding their theoretical knowledge and skills related to mathematical modelling.

Students’ mathematical modelling behaviors: Strategies and competencies

2019

Mathematical modelling has recently taken the spotlight in mathematics education as a means to prepare students for the challenges they face in the modern world, and there have been numerous proposals on the modelling cycles describing students' approaches to solve modelling tasks. Within these proposed modelling cycles, researchers emphasize the importance of building a real model to describe the real situation and the application of extra-mathematical knowledge to highlight the relationship between reality and mathematics. However, the concept of extramathematical knowledge and the process to establish a real model have only been described in broad strokes and these descriptions lack details. This thesis aims to add to the descriptions of extra-mathematical knowledge and the process to develop a real model based on empirical data by closely examining students' mathematical Modelling behaviors. To achieve these goals, I administered two rudimentary mathematics complex tasks, a special type of tasks that present a complex situation but allow the audience to apply their well-worn tools in mathematics to establish a solution, to two groups of junior secondary school students. These tasks allow me to tip the balance of between reality and mathematics in mathematical modelling in order to focus on students' modelling behaviors. With regard to the process leading to a real model, my analysis indicates that students hold different intentions in building a real model and these intentions affect the strategies they use and therefore their modelling process and the quality of their solutions deeply. In the analysis of these strategies, I also apply flow theory to understand these intentions. As for extra-mathematical knowledge, my analysis demonstrates that extra-mathematical knowledge is a multi-faceted, complex construct composed of various competencies, that contains different characteristics and can deeply affect students' engagement with the tasks.

M.Gr.Voskoglou, The use of mathematical modeling as a

In this paper we discuss the use of mathematical modelling as a tool for learning mathematics in contrast with other views giving more emphasis to other factors (schemas, automation of rules et c). We sketch the "flow-diagram" of the modelling process in the classroom when the teacher gives such problems for solution to the students and we present methods to recognize the attainment levels of students at defined stages of the mathematical modelilng process and to measure the mathematical model building abilities of them.

Modeling Students' Mathematical Modeling Competencies

2010

The study presented in this article takes a closer look at how French and German highschool students deal with a mathematical modeling problem, what blockages they encounter and how differences in the modeling processes between students from both nations can be explained by differences between the teaching and learning of mathematical modeling in France and Germany. To better understand these differences, firstly, a brief overview is provided on the historical development of mathematics education in both countries, with a focus on mathematical modeling, followed by a qualitative empirical study in both France and Germany. Two main differences can be identified: students' handling of the real-world situation and their striving for accuracy. Possible reasons for these differences are discussed in relation to national teaching traditions.

Mathematical Modeling: An Important Tool for Mathematics Teaching

2019

The motivation behind this examination is to present the theoretical structure of Modeling Activities, which is believed to be a vital device for mathematics instruction. Modeling activities are defined as activities to figure out complex problems faced in real life situations that require the creation of a mathematical model as a product. In order to introduce the modeling activities within the scope of the study, the process of the developments of these activities is given in historical sequences and how they are defined by different educationists in the literature. Different steps of mathematical model formation, principles of mathematical model are illustrated. The importance of modeling activities in mathematics teaching, its different components and how they should be applied in courses are also included. IndexTerms Mathematical Modeling, Modeling Principles and Processes, Model Eliciting Activity, Mathematics Teaching.

Book review of "Modeling Students' Mathematical Modeling Competencies: ICTMA 13

This book stems from the 13th International Conference on the Teaching of Mathematical Modeling and Applications (ICTMA 13). The first part focuses on research into what it means for students to understand models and modeling processes (6 sections, comprising 23 chapters), while the second part considers what is needed for modeling activities to be productive in classrooms (5 sections, comprising 30 chapters). The authors come from many countries: South Africa, Taiwan, Japan, Mexico, Germany, Israel, Brazil, Argentina, Sweden, Italy, Australia, Canada, Cyprus, U.K., Spain, Switzerland, Denmark, and the U.S. This book is a veritable fount of information about modeling in classrooms at all levels from elementary through university. In addition, it has chapters dealing with how teachers develop models of modeling (Chapters 30-46) and how new technologies influence modeling in classrooms (Chapters 47-51).

Fostering Transit between Real World and Mathematical World: Some Phases on the Modelling Cycle

International Journal of Science and Mathematics Education, 2017

This study shows how, in the initial training of mathematics teachers, it is possible to promote processes of abstraction and mathematisation through modelling a real situation with the support of auxiliary material to mediate understanding. By adapting elements of the theoretical and methodological framework called Abstraction in Context (AiC), participants' discussions while building a mathematical model-in a nested epistemic actions-are analysed. Two specific points are discussed in this paper. The first aims to identify how different types of knowledge emerge when an individual is faced with a modelling task. The second is regarding the use of auxiliary material as a means of metaphorising a situation. It was evidenced how the material favours the construction of a mathematical model through the simplification and idealisation that it brings. The meaning constructed for the model is supported in recognising a decreasing behaviour as a part of a whole. Keywords Auxiliary material. Abstraction in context. Interpreting. Mathematical knowledge building. Modelling One of the main research subjects seen in international congresses such as International Community of Teachers of Mathematical Modelling and Applications (ICTMA) and International Congress on Mathematical Education (ICME) is modelling and its

Book review of “Modeling Students’ Mathematical Modeling Competencies: ICTMA 13,” edited by Richard Lesh, Peter L. Galbraith, Christopher R. Haines, and Andrew Hurford. MathDL, MAA Reviews, July 9, 2013.

MAA Reviews, MathDL, 2013

This book stems from the 13 th International Conference on the Teaching of Mathematical Modeling and Applications (ICTMA 13). The first part focuses on research into what it means for students to understand models and modeling processes (6 sections, comprising 23 chapters), while the second part considers what is needed for modeling activities to be productive in classrooms (5 sections, comprising 30 chapters). The authors come from many countries: South and the U.S. This book is a veritable fount of information about modeling in classrooms at all levels from elementary through university. In addition, it has chapters dealing with how teachers develop models of modeling (Chapters 30-46) and how new technologies influence modeling in classrooms (Chapters 47-51).