“The real challenge we face is to support sense making in our classrooms”
Alan Schoenfeld (2013)
Research about sense-making in mathematics teaching and learning spans many fields, and generally making sense of mathematics is equated with the ability to solve problems. Modelling as a perspective on mathematic education addresses problem-solving from a variety of definitions too. We therefore wish to encourage conference contributions that might address the following or other appropriate issues:
There are already a wide range of different approaches to research with respect to mathematical modelling and applications. These are drawn from a wide range of different research cultures and paradigms. In focusing on modelling and sense making there is an opportunity to consider what we might learn by the different approaches that can be taken to researching and understanding teaching, learning and application.
Modelling and applications in school/college
Understanding sense making in the interaction of teaching and learning in ‘classrooms’ provides significant challenges. Over many years the mathematics education research community has made significant progress in coming to understand learner development of mathematical concepts whereas our understanding of learner development of modelling competencies is less well informed. At the same time, we have only just begun to examine the complexities encountered in effective teaching of modelling and applications for sense making in compulsory school settings.
Modelling in STEM
Mathematical models and modelling underpin much work across the science, technology and engineering disciplines (with mathematics often referred to as underpinning the STEM disciplines). In mathematics education we need to understand the perspectives that these other disciplines have of mathematical modelling, and what is important and effective in supporting and connecting them. There is much to be learnt from interdisciplinary work in which mathematical modelling plays a central role: further research in this area will provide new and important insights.
Modelling in the world of work
In the workplace mathematical modelling and applications underpin much activity – although not always explicitly to all involved. There is increasing interest and a growing body of research within this important area. This has the potential to provide insight into what we know, what we need to learn, the implications for education and what we might learn about research methodologies.
Understanding the world of data and uncertainty
The advances in technology over the last 20 years have dramatically altered the terrain of modelling in the fields of statistics and probability. New tools are now available for students to explore and develop the kinds of stochastic models that are of increasing importance in science, engineering, economics, and other fields. Research in this area might inform new modes of education with the new technological tools that are increasingly available.
Program at a glance
Download the provisional program here
The official language is English. No simultaneous translation services will be provided.
Final program and abstracts
The final program and abstracts will be published prior to the congress. Delegates will receive a copy of the final program with the congress material onsite.
The conference program will include
- Plenary lectures followed by reactions of invited experts in the field
- Plenary panel of international experts on mathematical modelling
- Papers by conference participants in parallel sessions
- Discussion Forums by invited experts on modelling perspectives around the world
- Symposia by conference participants in parallel sessions
- Administrative meetings:
- ICTMA Executive Board (Sun, 23rd)
- Business meeting (Friday, 28th) – announcement of venue for the 2019 conference
Please contact: firstname.lastname@example.org for Scientific Program Queries