Table of contents:
What levels of schooling or age groups do they have as their theme (if any at all!)
One article mentions work with grade 2 students, but otherwise, there aren't many. It seems like the journal is mostly isolated from classroom education
What kinds of issues are addressed? How are these distinctive?
The issues addressed are ethnomathematics, classroom teaching, and existence of mathematics education.
Articles:
How long are the articles?
About 5 pages each
Are they usually illustrated (and if so, how?)
Geometry and ethnomathematics articles have illustrations if any; most articles end with a quote or an image.
Are there a lot of references cited?
There are less than ten references for each article. What is the citation style? I looked into Turabian, MLA, Chicago, AMS... it doesn't seem like any of these!
Are there subheadings on the articles? If so, are they the subheadings that you expect, or not? No subheadings
What language is the article in? English
Overall:
What is on the front and back cover, and why?
Front cover - big 50.
Back cover - contributors, I believe. The 50 on this front cover is only in this particular journal; other journals have an image on them
What did you learn from the author identifications?
More men than women contributed in the fiftieth issue, which is similar to the first issue. In the 100th issue, however, there were much fewer men than women contributing.
What about the material on the inside of the front and back covers?
Front - table of contents, I believe
Back - Suggestions to contributors
Is there any material between the articles? If so, what is it? What kind of tone might it set?
None
Additional notes after taking a look at Bingjie Wang's article:
- Relatively easy to read
- No appendices in the articles - all data used is cited in-text
- Some articles written in first-person
- Focus on old vs new of mathematics education
- According to Wang, 96% of contributors to FLM are university professors
- The writing is not as dense as I've read
- There is a mix of research, opinion, and reflection in the article
------------
Looking at Bingjie Wang's article, I was surprised to see that only 4% of FLM's contributors are graduate students, as was similar with ESM and JRME, with university professors making up the majority of the other groups. Compare this to an only 60% contributor percentage in JME, where a much larger portion (than compared to the other journals) of teachers contribute (20%). What does this mean about the standards set forth by a journal? What is the rejection rate for each of these journals for graduate students? Is it higher to FLM, or are students not submitting much to FLM in the first place? Is there an invitation to teachers to write in FLM? I would be interested to discuss access to publishing and the acceptable styles of writing/publishing, etc. This reminds me of a story I heard in another class about Dr. Peter Cole, for example, who currently is lecturing (and researching?) at UBC. He completed his PhD thesis at SFU because although he started out as a PhD candidate at UBC, there were far too many standards UBC had for the way a thesis had to be written, etc. I am curious about how standards are established for publishing, and if there are any leftover trends from science journals embedded in mathematics education journals. Certainly, the foundation for mathematics education as a research area was still brought up in some articles in the 50th issue, so I wonder how many other trends are leftover from prior journals.
Saturday, 28 February 2015
Friday, 20 February 2015
For February 22 – Whiteley Response – Decline and Rise of Geometry
This article explored multiple topics
regarding geometry, its declining presence at a secondary and post-secondary
level, and the case to revive it in curriculum. Whiteley begins his article by
describing the decline in geometry first, then explaining the different types
of geometry. So it is difficult to say if the statistics he provided at the
beginning of the article refer to a certain type of geometry (suppose,
Euclidean) or if they provided an overall picture. There were multiple
applications of geometry brought up by Whiteley and were a large part of his
case for continuing geometry in the curriculum – geometry is used in
establishing the structure of chemical formulas, designing vehicular
components, etc.
I must admit, my initial reaction to this
piece was mostly indifference. I hadn’t seen much geometry in math in school
beyond basic Euclidean geometry and basic geometric proofs (which, granted, I
still don’t remember and was never really taught, just expected in some form).
I think that with geometry has made its way
out of the curriculum for two reasons. For one, geometry is no longer required
in university unless you major in mathematics. It is easy to argue that this
was taken out of the curriculum while things essential for calculus were
maintained. The second reason is the ease with which one can now teach
mathematics in the school curriculum. In my discussions with other teachers,
many did not have a great deal of mathematics experience (much less a degree)
but instead only had a calculus course. For calculus, little or no geometry is
required. So this would then begin to reinforce the lack of experience with geometry
and decrease the exposure to the subject beyond a surface depth.
If geometry is being used in specific applications
as Whiteley says, then I would sooner see geometry taken out of the curriculum completely
and replaced with some basic matrix algebra. Matrix algebra is a basic skill in
a variety of backgrounds, yet it is not taught at any level (except in the
International Baccalaureate Diploma Programme). Matrix algebra is also easy to
understand, provides a whole range of depth in topics, number of solutions,
whether or not solutions can be computed – in short, more immediately accessible
topics arise with much further-reaching applications.
Sunday, 15 February 2015
For February 15 - Borwein - The Experimental Mathematician: The Pleasure of Discovery and the Role of Proof
It seems almost inevitable that a paper advocating for the use of proof and computer analysis would include at least a brief overview of the controversy surrounding the Four Colour Theorem. Borwein (2004) writes that the proof and computer analysis can act harmoniously to support mathematical development. With a constructivist point of view, he argues that mathematics is a mainly human subject with some room for empirical testing and knowledge. Like science, Borwein argues that mathematics is an endeavour which, while it can be self-sufficient, can also be found to be false or incomplete. Computer analysis and computation can help ease the process of proofing by hand, which is supported by the examples in number theory which he provides for the reader.
Perhaps this speaks to my foundation in mathematics, but I have always found comfort in fields of mathematics in which calculations/programming supported mathematical understanding. I found that one of my most enriching courses (and one which seriously made me consider re-trying computer programming in the future) was a course which involved mathematical computation, Math 210. Although seen as an easy-way-out for avoiding the computer programming requirements put out by the math department, Math 210 was challenging because I had to know what to program. The programming helped me verify lemmas, create graphical arguments, and show different results visually - some of these I would not have understood as well as I do now, had I not had the opportunity to program them in two easier languages, Maple and Matlab.
What confused me with Borwein, however, is his claim that "extraordinary speed and enough space are prerequisite for rapid verification and for validation and falsification ('proofs and refutations'.) One cannot have an "aha" when the 'a' and 'ha' come minutes or hours apart" (p. 12). Borwein is likely aware of the misplaced nature of intuition in an empirical. This is to say, Borwein seems to encourage that mathematics become a "serious replicable enterprise" (p. 14). The creation of a scientific enterprise does not require the same kind of intuition as mathematics may, and truly, these two fields are separated except by applications of mathematics (engineering, computation, proofing in statistics, etc). The very nature of knowledge generation differs in mathematics from the positivist one of science, as the former requires personal interaction and interpretation of the problem. The final product in mathematics - in this case, a proof - often does not include evidence of the doer of mathematics, only their interpretation. It is, then, not the construction of the mathematics itself, but the choice of inclusion/omission of content and material that constructs mathematics rather than allows one to discover it.
Perhaps this speaks to my foundation in mathematics, but I have always found comfort in fields of mathematics in which calculations/programming supported mathematical understanding. I found that one of my most enriching courses (and one which seriously made me consider re-trying computer programming in the future) was a course which involved mathematical computation, Math 210. Although seen as an easy-way-out for avoiding the computer programming requirements put out by the math department, Math 210 was challenging because I had to know what to program. The programming helped me verify lemmas, create graphical arguments, and show different results visually - some of these I would not have understood as well as I do now, had I not had the opportunity to program them in two easier languages, Maple and Matlab.
What confused me with Borwein, however, is his claim that "extraordinary speed and enough space are prerequisite for rapid verification and for validation and falsification ('proofs and refutations'.) One cannot have an "aha" when the 'a' and 'ha' come minutes or hours apart" (p. 12). Borwein is likely aware of the misplaced nature of intuition in an empirical. This is to say, Borwein seems to encourage that mathematics become a "serious replicable enterprise" (p. 14). The creation of a scientific enterprise does not require the same kind of intuition as mathematics may, and truly, these two fields are separated except by applications of mathematics (engineering, computation, proofing in statistics, etc). The very nature of knowledge generation differs in mathematics from the positivist one of science, as the former requires personal interaction and interpretation of the problem. The final product in mathematics - in this case, a proof - often does not include evidence of the doer of mathematics, only their interpretation. It is, then, not the construction of the mathematics itself, but the choice of inclusion/omission of content and material that constructs mathematics rather than allows one to discover it.
Sunday, 8 February 2015
For February 8 - Response - Gerdes
The Gerdes
article investigates the politics around mathematics literacy of persons in
Mozambique and deals with issues around colonization and the eradication of
“indigenous mathematics” (p 138), where an implicit mathematics was disregarded
and replaced with rote learning and memorization in schools. Gerdes’ use of
cultural methods for teaching geometry involves imposing European mathematics
over top of cultural interpretations of geometry (i.e. the use of mathematics
in everyday life).
As
a White mathematics educator of the dominant culture, I know I must tread
carefully when discussing issues of colonization. Although it is critical to
retain aspects of culture in teaching, it would be as oppressive to maintain
only a form of indigenous mathematics, as it would be to teach the colonized
mathematics curriculum. By this, I mean that reducing persons to indigenous
mathematical knowledge and restricting what other mathematics they learn sustains
a colonial dominance in the opposite direction. Gerdes’ suggestion is just as
problematic, as his imposition of European mathematics to build “cultural-mathematical
confidence” (p. 144), as he calls it, colonializes the everyday mathematics and
shows that, “See, your mathematics is acceptable and correct in the way WE (White)
do mathematics!” I will nod in Gerdes’ directions for briefly mentioning an
in-class question that could be used to generate discussion around the choice
in use of mathematics, “Which method has to be preferred for our primary
schools? Why?” (p 149). This provides the opportunity to explore the ownership
of knowledge, which is at the heart of creating change.
By exposing
persons to mathematical ideas in “European” mathematics (that is, the current
mathematical structure in which gender, culture, race are normatively White),
if university education is truly to be the focus (again, White institutions),
then we must prepare students for this institution. Building bridges, as Gay
and Cole suggest, is also problematic, as the bridge-builder in the connection
between indigenous and White mathematics establishes that there, indeed, exists
a rift between the two, and hence also owns the divide between the two; I am
sure those in Mozambique did not decide that their mathematics were “different”
from the White form of mathematics.
But what, then,
is the point of teaching ethnomathematics, if we are just to Whiten individuals
in their respective institutions? It is then, my opinion that the institution must change. For if the expectations maintained in the institution
are dominant and remain unchanged, then teachers will always hesitate to teach
traditional ways of knowing. The defensive reason will be, “But you need to
know this method for university mathematics”.
The types of mathematics that are decided to be “valid” and “invalid” in
a university, as Burton (1995) writes, remains pre-decided and has social and
cultural implications that remain ignored due to the “objective” characteristic
of mathematics. This falsely marries the content with the interpretation, the
latter of which is not objective.
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