Hi David --
At 05:29 PM 11/23/2007, David Corking wrote:
It was not my intention earlier in this thread to challenge the work of Viewpoints.
I certainly didn't take it that way - in part because we claim almost nothing. What we have been interested in is whether 90% of the children we've worked with -- taught by a teacher, not by us -- gain real fluency in what we are trying to teach them. We found that it took 3 years to introduce each new curriculum element (as described in my last post).
Instead I wanted to get a foothold into understanding how the powerful 'progressive' and 'back to basics' movements could be rationally compared with alternatives.
I disagree with the simplistic versions of both of these. If "progressive" means what it meant long ago - "Dewey education" - then I am very much in favor of what he was trying to do and what he wrote about. If "back to basics" means "Bennet or E.D. Hirsh", then I'm very much in disagreement with what they are trying to do, and their general view of "education".
Subjects like real math and real science, with a goal to help children get fluent, are best assessed by real mathematicians and real scientists. Separate issues are: what parts of the real stuff should be taught to children, how should the teaching be done, etc. This is very important in its own right - recall the very bad choices made by real mathematicians when they chose set theory, numerals as short-hand for polynomials, etc. during the "new math" debacle. This is why Seymour Papert was so impressive -- he was that rarity, a first class mathematician who both cared about and understood important principles of how children think. He chose real math that was both deep and in rhythm with how children think about relationships.
Thank you for taking my question as a provocation
I didn't
- it is very
illuminating to read the work of Rose, Kay et al justified from this perspective.
I need to confess now that I have read 'Mindstorms' but not yet 'Powerful Ideas' - does the book address whether or not there is a 'Hawthorne effect' in the trials?
"Powerful Ideas" is written to help teachers teach a dozen or so projects in real math and real science, using Etoys. It makes no claims and leaves a tiny bit of philosophy to the Afterword. http://www.vpri.org/pdf/human_condition.pdf
In other words, could simply the intensive attention of all involved, coupled with the novelty, willingness to persevere for the second and third year, and the involvement of real subject matter experts, have been sufficient in itself to produce a fluency result that is well above acceptable threshold?
Schools should be all about the Hawthorne Effect. The ones that aren't should be closed.
I think you misunderstood one part of my description of the process. The 3 years is with the same teacher but with three different groups of children. Each group deals with the materials and process for the same amount of time.
The other part of your question wasn't asked or answered by what we did (since we wanted the children to express the math and science they learned in terms of working Etoy models). That's what we tried to do, and that's what we assessed.
If the "it takes 3 years" story seems reasonable to you, then imagine what it would take to do a real longitudinal transfer experiment using control groups (about 7 years). We have never been able to find a funder that is willing to fund what it really takes.
Is it provable(*) that the student creation of computer models, for example, is a necessary condition of learning 'real math' fluency?
It's provable that it isn't (people have been learning "real math fluency" for thousands of years without computers). The important thing (Papert again) is what math and when? Computers make a huge difference here for pretty much everyone. Also, see the Afterword in the book for what science learning is really about (hint: computers are not at all required, but they allow more rich choices in the world of the child).
I've used many analogies to music in the past. You don't need musical instruments to teach music, they just help (and in no small part because there are lots of different kinds). A child who is not that interesting in singing might be very interested in learning the guitar, one that is not interested in guitar might be interested in a sax, etc. Different learners need lots of different entry points. Computers can provide many different entry points, and can be the medium for the kinds of mathematics that science uses. A pretty good combination.
- By 'provable', I mean: "could a future experiment be designed to
prove my assertion, or, even better, could a reasoned argument prove my assertion?"
No. But something might be done with a goal of more than 90% fluency -- computers could almost be indispensable here ...
Further, but perhaps drifting off topic for squeakland, is it provable that 'back to basics' and 'progressivism' are equally as inadequate?
I said above that the simplistic versions of both are quite wrongheaded in my opinion. If you don't understand mathematics, then it doesn't matter what your educational persuasion might be -- the odds are greatly in favor that it will be quite misinterpreted.
Or is the poor performance of public education in some countries a consequence, not of the learning theory nor curriculum, but caused by the 'received wisdom' not being applied properly, or even some external factors, such as low resources, attitudes to authority, or the currently fashionable complaint of students' learning styles not being catered for?
If you like multiple choice tests, then (e) all of the above.
Cheers,
Alan
----------
David
Hi Alan, You digressed into 'new math' and I disagree
You wrote:
Separate issues are: what parts of the real stuff should be taught to children, how should the teaching be done, etc. This is very important in its own right - recall the very bad choices made by real mathematicians when they chose set theory, numerals as short-hand for polynomials, etc. during the "new math" debacle.
When I was 16 I moved schools, and joined a cohort who had been educated in the Schools Mathematics Project, a English incarnation of 'new math'. I had kind of a traditional classical math education up to that point, and I felt like a fish out of water for a few weeks. My first impression was that my new classmates thought much more like real mathematicians, and at first that seemed like a pointless stuffy homage to academia.
Later I learned to enjoy the math for its own sake, but I had another surprise a couple of years later. The SMP kids seemed much better equipped for the world of applied math at university and technical college. Set theory and number theory are vital for computer scientists (as I understand), matrix algebra and numerical methods for engineers. So when I got to college (to study engineering), I was glad to have had a chance to try my hand at real nineteenth century math in high school.
By the way, I never learned, even today, any kind of general algebra or shorthand for polynomials, so I cannot comment on that.
It didn't hurt that in those days, most math teachers in England were math major graduates (so perhaps an example of the benefits of the Hawthorne effect we discussed.)
By the way, the SMP still exists in a cut down form: http://www.smpmaths.org.uk/ It didn't go down in a public fireball like 'new math' in the US, but instead seems to have been quietly squashed by the all powerful National Curriculum steamroller.
Best, David
David:
Further, but perhaps drifting off topic for squeakland, is it provable that 'back to basics' and 'progressivism' are equally as inadequate?
Alan: I said above that the simplistic versions of both are quite wrongheaded in my opinion. If you don't understand mathematics, then it doesn't matter what your educational persuasion might be -- the odds are greatly in favor that it will be quite misinterpreted.
David,
I read the original maths history http://www.csun.edu/~vcmth00m/AHistory.html that prompted your initial questions about constructivism and agree that it critiques the cluster of overlapping outlooks that go under the names of progressivism / discovery learning / constructivism - fuzzy descriptors
But more importantly IMO it also takes the position that the dichotomy b/w "back to basics" and "conceptual understandings" is a bogus one. ie. that you need a solid foundation to build conceptual understandings. The problem here is that some people in the name of constructivism have argued that some basics are not accessible to children. (refer to the H Wu paper cited at the bottom of this post)
I think the issue is that real mathematicians who also understand children development ought to be the ones working out the curriculum guidelines. This would exclude those who understand children development in some other field but who are not real mathematicians and would also exclude those who understand maths deeply but not children development.
This has not been our experience in Australia. I cited a book in an earlier discussion by 2 outstanding maths educators documenting how their input into curriculum development was sidelined. National Curriculum Debacle by Clements and Ellerton http://squeakland.org/pipermail/squeakland/2007-August/003741.html For some reason the way curriculum is written excludes the people who would be able to write a good curriculum -> those with both subject and child development expertise
For me the key section of the history was this: "Sifting through the claims and counterclaims, journalists of the 1990s tended to portray the math wars as an extended disagreement between those who wanted basic skills versus those who favored conceptual understanding of mathematics. The parents and mathematicians who criticized the NCTM aligned curricula were portrayed as proponents of basic skills, while educational administrators, professors of education, and other defenders of these programs, were portrayed as proponents of conceptual understanding, and sometimes even "higher order thinking." This dichotomy is implausible. The parents leading the opposition to the NCTM Standards, as discussed below, had considerable expertise in mathematics, generally exceeding that of the education professionals. This was even more the case of the large number of mathematicians who criticized these programs. Among them were some of the world's most distinguished mathematicians, in some cases with mathematical capabilities near the very limits of human ability. By contrast, many of the education professionals who spoke of "conceptual understanding" lacked even a rudimentary knowledge of mathematics.
More fundamentally, the separation of conceptual understanding from basic skills in mathematics is misguided. It is not possible to teach conceptual understanding in mathematics without the supporting basic skills, and basic skills are weakened by a lack of understanding. The essential connection between basic skills and understanding of concepts in mathematics was perhaps most eloquently explained by U.C. Berkeley mathematician Hung-Hsi Wu in his paper, *Basic Skills Versus Conceptual Understanding: A Bogus Dichotomy in Mathematics Education*.75"
Papert is also critical of NCTM but is clearly both a good mathematician and someone who understands child development - and has put himself into the constructivist / constructionist group
I followed that link in the history to this paper which is a more direct and concrete critique of discovery learning taken too far, with well explained examples of different approaches:
http://www.aft.org/pubs-reports/american_educator/fall99/wu.pdf
BASIC SKILLS VERSUS CONCEPTUAL UNDERSTANDING A Bogus Dichotomy in Mathematics Education BY H. WU
cheers,
Thanks Bill. You wrote:
http://www.aft.org/pubs-reports/american_educator/fall99/wu.pdf
BASIC SKILLS VERSUS CONCEPTUAL UNDERSTANDING A Bogus Dichotomy in Mathematics Education BY H. WU
Great reading! It is amazing to me that the unambitious proposals in that paper here might be considered radical or heretical by the establishment.
On Saturday 24 November 2007 7:23 pm, Bill Kerr wrote:
I followed that link in the history to this paper which is a more direct and concrete critique of discovery learning taken too far, with well explained examples of different approaches:
http://www.aft.org/pubs-reports/american_educator/fall99/wu.pdf
BASIC SKILLS VERSUS CONCEPTUAL UNDERSTANDING A Bogus Dichotomy in Mathematics Education BY H. WU
Prof. Wu does well to call the bluff in treating skills vs. understanding as a zero sum game. However, I find some of his claims run counter to my own observations of how children learn. The claim "children welcome any suggestions that save labor" is simply not true. On encountering a concept for the first time, children tend to repeat it many times even though the process is quite tedious. It is only after many repetitions that they become receptive to suggestions to shortcuts. Either they discover the pattern by themselves or can be nudged gently towards the Aha discovery either by the teacher or by their peers.
The issue that I have with algorithms being taught in schools is that they are introduced too early in the learning curve and are often introduced as "the method". I have seen many untutored people learn to do additions left to right. They would tie themselves into knots if asked to use the conventional right to left method.
Subbu
subbukk wrote:
On Saturday 24 November 2007 7:23 pm, Bill Kerr wrote:
I followed that link in the history to this paper which is a more direct and concrete critique of discovery learning taken too far, with well explained examples of different approaches:
http://www.aft.org/pubs-reports/american_educator/fall99/wu.pdf
BASIC SKILLS VERSUS CONCEPTUAL UNDERSTANDING A Bogus Dichotomy in Mathematics Education BY H. WU
Prof. Wu does well to call the bluff in treating skills vs. understanding as a zero sum game. However, I find some of his claims run counter to my own observations of how children learn. The claim "children welcome any suggestions that save labor" is simply not true. On encountering a concept for the first time, children tend to repeat it many times even though the process is quite tedious. It is only after many repetitions that they become receptive to suggestions to shortcuts. Either they discover the pattern by themselves or can be nudged gently towards the Aha discovery either by the teacher or by their peers.
So like in programming, early optimization is a no-no. My experience with learning is that I get introduced to something, then I have a period of grinding before I 'get it', then I can expand on that knowledge.
Karl
The issue that I have with algorithms being taught in schools is that they are introduced too early in the learning curve and are often introduced as "the method". I have seen many untutored people learn to do additions left to right. They would tie themselves into knots if asked to use the conventional right to left method.
Subbu
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