Developing a task design and implementation framework for fostering mathematical modelling competencies

Author(s):  
Vince Geiger ◽  
Peter Galbraith ◽  
Mogens Niss ◽  
Catherine Delzoppo
2008 ◽  
Vol 17 (06) ◽  
pp. 973-993 ◽  
Author(s):  
NASER MOHAMMADZADEH ◽  
SHAAHIN HESSABI ◽  
MAZIAR GOUDARZI ◽  
MAHDI MALAKI

The growing complexity of today's embedded systems demands new methodologies and tools to manage the problems of analysis, design, implementation, and validation of complex-embedded systems. Focusing on this issue, this paper describes a design and implementation toolset using our ODYSSEY methodology, which advocates object-oriented (OO) modeling of embedded systems and its ASIP-based implementation. The proposed approach promotes a smooth transition from high-level object-oriented specification to the final embedded system, which is composed of hardware and software components. The transition from higher to lower abstraction levels is facilitated by the use of our GUI, which supports the intermediate steps of the design and implementation process. In order to illustrate the proposed approach and related toolset, we apply this top-down design and implementation framework to real-world embedded systems, namely JPEG codec and Motion JPEG codec. Experimental results show that the developed tool remarkably decreases the design and verification time with modest performance penalty.


Author(s):  
Berta Barquero ◽  
Britta Eyrich Jessen

In this paper, we discuss how the adoption of a particular theoretical framework affects task design in the research field of modelling and applications. With this purpose, we start by referring to the existence of different reference epistemological models about mathematical modelling to analyse better the consequences they have for decision making concerning designing modelling tasks and their implementation. In particular, we present the analysis of three case studies, which have been selected as representatives of different theoretical perspectives to modelling. We discuss the impact of the chosen reference epistemological model on the task design process of mathematical modelling and the local ecologies suited for their implementation.


Author(s):  
Peter Frejd ◽  
Pauline Vos

This is a commentary on the ESM 2021 Special Issue on Innovations in Measuring and Fostering Mathematical Modelling Competencies. We have grouped the ten studies into three themes: competencies, fostering, and measuring. The first theme and the papers therein provide a platform to discuss the cognitivist backgrounds to the different conceptualizations of mathematical modelling competencies, based on the modelling cycle. We suggest theoretical widening through a competence continuum and enriching of the modelling cycle with overarching, analytic dimensions for creativity, tool use, metacognition, and so forth. The second theme and the papers therein showcase innovative ideas on fostering and on the definition and analysis thereof. These reveal the need for a social turn in modelling research in order to capture aspects of student collaboration and agency, as well as tensions in fostering when tasks are derived from real-world scenarios, but socio-mathematical norms come from the (pure) mathematics classroom. The third theme, measuring, and the papers therein offer insights into the challenges of positivist research that aims to develop innovative measurement instruments that are both reliable and valid, particularly in light of student group work, cultural background, and other socio-cultural aspects. Drawing on the three discussions, we go on to make recommendations for further research.


Sign in / Sign up

Export Citation Format

Share Document