JMTE, April 2008

The April issue of Journal of Mathematics Teacher Education has been published. The following articles are enclosed:

This is an interesting collection of articles, addressing a multitude of perspectives from the use of video in teacher education in the article by Jon R. Star and Sharon K. Strickland to Jesse L.M. Wilkins’ focus on the relationship between content knowledge, attitudes, beliefs and practices by elementary teachers. I find the latter article especially interesting, since it aims at analyzing relationships between knowledge, beliefs, attitudes and practices at the same time. All four are large fields of research, and this is therefore a brave attempt. I would like to question the choice of investigating the teachers’ practice through self-reporting in a survey though.

Mathematics Teacher, April 2008

The April issue of Mathematics Teacher has arrived, and it contains the following three articles:

The last article is a free preview article, and is downloadable for everyone. The author has a focus on women in mathematics, and she discusses her use of cooperative groups, Blackboard (a course managment system) and the internet as means to facilitate meaningful mathematical discourse. The venue for examining these types of mathematical discourse is a course called “Women in Mathematics”, which the author developed in her university. They studied the following women mathematicians in the course:

All in all, this is an interesting description of an interesting university course. At a meta-level, this article also address issues of how to use history of mathematics in your teaching. At the end of the article, the writer proposes that anecdotes and activities about women mathematicians can be used in “ordinary” mathematics courses, and this indicates a certain “direct” use of history.

Useless arithmetic

Linda Pilkey-Jarvis and Orrin H. Pilkey have written an article in Public Administration Review about the use of mathematical models in environmental decision making. Mathematical models are used extensively in the context of environmental issues and natural resources, and when these methods were first used, they were thought to represent a bridge to a better and more foreseeable future. There has also been much controversy in this respect, and the authors pose the question whether the optimism about the use of these models were ever realistic. In this article, they review the two main types of such models: quantitative and qualitative.

Although both present us with a generalized perspective on a natural problem, they are not equal in terms of predictive power. The first type—quantitative models—can be used as a surrogate for nature, whereas the second—qualitative models—do the same but with less accuracy.

After a review of these types of models, they provide a list of ten lessons that policy makers should learn when it comes to quantitative mathematical modeling:

  1. The outcome of natural processes on the earth’s surface cannot be absolutely predicted.
  2. Examine the excuses for predictive model failures with great care and skepticism.
  3. Did the model really work? Examine claims of past “successes” with the same level of care and skepticism that “excuses” are given.
  4. Calibration of models doesn’t work either.
  5. Constants in the equations may be coefficients or fudge factors.
  6. Describing nature mathematically is linking a natural flexible, dynamic system with a wooden, inflexible one.
  7. Models may be used as “fig leaves” for politicians, refuges for scoundrels, and ways for consultants to find the truth according to their clients’ needs.
  8. The only show in town may not be a good one.
  9. The mathematically challenged need not fear models and can learn how to talk with a modeler.
  10. When humans interact with the natural system, accurate predictive mathematical modeling is even more impossible.

These points are directed at policy makers, but I think several of them are also relevant for students at university level (and perhaps also upper secondary). In a simplified form, I think some of these points might even be relevant for younger pupils.
In the wrapping up of the article, they clarify their main argument:

Our argument in this article has been that mathematical models are wooden and inflexible next to the beautifully complex and dynamic nature of our earth. Quantitative models can condense large amounts of difficult data into simple representations, but they cannot give an accurate answer, predict correct scenario consequences, or accommodate all possible confounding variables, especially human behavior.

Reference:
Pilkey-Jarvis, L. & Pilkey, O.H. (2008). Useless Arithmetic: Ten Points to Ponder When Using Mathematical Models in Environmental Decision Making. Public Administration Review 68 (3) , 470–479 doi:10.1111/j.1540-6210.2008.00883_2.x

Two didactic approaches

Ferdinando Arzarello, Marianna Bosch, Josep Gascón and Cristina Sabena have written an article called “The ostensive dimension through the lenses of two didactical approaches“, that has recently been published (online first) in ZDM. Here is the abstract.

The paper presents how two different theories—the APC-space and the ATD—can frame in a complementary way the semiotic (or ostensive) dimension of mathematical activity in the way they approach teaching and learning phenomena. The two perspectives coincide in the same subject: the importance given to ostensive objects (gestures, discourses, written symbols, etc.) not only as signs but also as essential tools of mathematical practices. On the one hand, APC-space starts from a general semiotic analysis in terms of “semiotic bundles” that is to be integrated into a more specific epistemological analysis of mathematical activity. On the other hand, ATD proposes a general model of mathematical knowledge and practice in terms of “praxeologies” that has to include a more specific analysis of the role of ostensive objects in the development of mathematical activities in the classroom. The articulation of both theoretical perspectives is proposed as a contribution to the development of suitable frames for Networking Theories in mathematics education.

Proofs as bearers of mathematical knowledge

This article by Gila Hanna and Ed Barbeau was published online two days ago in ZDM. The article examines a main idea from an article by Yehuda Rav in Philosophia Mathematica, that it is “proofs rather than theorems that are the bearers of mathematical knowledge”. An interesting theme of an article, with strong implications. Here is the entire abstract:

Yehuda Rav’s inspiring paper “Why do we prove theorems?” published in Philosophia Mathematica (1999, 7, pp. 5–41) has interesting implications for mathematics education. We examine Rav’s central ideas on proof—that proofs convey important elements of mathematics such as strategies and methods, that it is “proofs rather than theorems that are the bearers of mathematical knowledge”and thus that proofs should be the primary focus of mathematical interestand then discuss their significance for mathematics education in general and for the teaching of proof in particular.

The influence of theory

Christer Bergsten has wrote an article called “On the influence of theory on research in mathematics education: the case of teaching and learning limits of functions“, which was recently published (online first) by ZDM. Here is the abstract of the article:

After an introduction on approaches, research frameworks and theories in mathematics education research, three didactical research studies on limits of functions with different research frameworks are analysed and compared with respect to their theoretical perspectives. It is shown how a chosen research framework defines the world in which the research lives, pointing to the difficult but necessary task to compare research results within a common field of study but conducted within different frameworks.

Mathematical knowledge for teaching

Journal of Mathematics Teacher Education (JMTE) recently published an (online first) article by A.J. Stylianides and Deborah L. Ball entitled “Understanding and describing mathematical knowledge for teaching: knowledge about proof for engaging students in the activity of proving“. The article has a particular focus on knowledge about proof:

This article is situated in the research domain that investigates what mathematical knowledge is useful for, and usable in, mathematics teaching. Specifically, the article contributes to the issue of understanding and describing what knowledge about proof is likely to be important for teachers to have as they engage students in the activity of proving. We explain that existing research informs the knowledge about the logico-linguistic aspects of proof that teachers might need, and we argue that this knowledge should be complemented by what we call knowledge of situations for proving. This form of knowledge is essential as teachers mobilize proving opportunities for their students in mathematics classrooms. We identify two sub-components of the knowledge of situations for proving: knowledge of different kinds of proving tasks and knowledge of the relationship between proving tasks and proving activity. In order to promote understanding of the former type of knowledge, we develop and illustrate a classification of proving tasks based on two mathematical criteria: (1) the number of cases involved in a task (a single case, multiple but finitely many cases, or infinitely many cases), and (2) the purpose of the task (to verify or to refute statements). In order to promote understanding of the latter type of knowledge, we develop a framework for the relationship between different proving tasks and anticipated proving activity when these tasks are implemented in classrooms, and we exemplify the components of the framework using data from third grade. We also discuss possible directions for future research into teachers’ knowledge about proof (quoted from the abstract).

Mathematical knowledge constituted in the classroom

M. Kaldrimidou, H. Sakonidis and M. Tzekaki have written an article that has recently been published online in ZDM. The article is entitled “Comparative readings of the nature of the mathematical knowledge under construction in the classroom“, and it makes an attempt to:

(…) empirically identify the epistemological status of mathematical knowledge interactively constituted in the classroom. To this purpose, three relevant theoretical constructs are employed in order to analyze two lessons provided by two secondary school teachers. The aim of these analyses was to enable a comparative reading of the nature of the mathematical knowledge under construction. The results show that each of these three perspectives allows access to specific features of this knowledge, which do not coincide. Moreover, when considered simultaneously, the three perspectives offer a rather informed view of the status of the knowledge at hand (from the abstract).

RME, issue 1, 2008

Research in Mathematics Education is the official journal of the British Society for Research into Learning Mathematics. As of this year, the journal is included in the Routledge system, and it is quite easy to track the latest news from the journal. It has now published the first issue of 2008, which includes several interesting papers. Here is a list of the research papers in issue 1, 2008:

Articles at IEJME are finally there!

International Electronic Journal of Mathematics Education published their first issue this year a while ago (see my post about it). Now, the articles and abstracts are finally available as well! The abstracts are available in plain HTML format, whereas the articles can be freely downloaded in PDF format. I find one of the articles particularly interesting, as it concerns the same area of research as I am involved in myself (teacher thinking and teacher knowledge). The article was written by Donna Kotsopoulos and Susan Lavigne, and it is entitled: Examining “Mathematics For Teaching” Through An Analysis Of Teachers’ Perceptions Of Student “Learning Paths”
I enclose a copy of the abstract here:

Abstract: How teachers think about student thinking informs the ways in which teachers teach. By examining teachers’ anticipation of student thinking we can begin to unpack the assumptions teachers make about teaching and learning. Using a “mathematics for teaching” framework, this research examines and compares the sorts of assumptions teachers make in relation to “student content knowledge” versus actual “learning paths” taken by students. Groups of teachers, who have advanced degrees in mathematics, education, and mathematics education, and tenth grade students engaged in a common mathematical task. Teachers were asked to model, in their completion of the task, possible learning paths students might take. Our findings suggest that teachers, in general, had difficulty anticipating student learning paths. Furthermore, this difficulty might be attributed to their significant “specialized content knowledge” of mathematics. We propose, through this work, that examining student learning paths may be a fruitful locus of inquiry for developing both pre-service and in-service teachers’ knowledge about mathematics for teaching.