Audio Transcript Auto-generated
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As I said, this the t d. Sorry the Mt.
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21 was then followed up by the
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teacher Education Development Studies in mathematics,
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um,
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or T d s m for short. This is the largest scale study.
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Um,
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and
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some of the, uh they had a lot more questions,
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so But they asked questions also on a policy and institutional level to ask What?
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What would character size programmes that lead to high content knowledge and P C.
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K in mathematics?
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Um and
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so there was a strong focus on on the knowledge itself as an outcome.
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They also looked into what the relationship is
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between beliefs and of the teacher educators.
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And those are the future teachers. I'm not gonna touch on that.
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And they tried to also find out something
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about what were useful practical or school experience.
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Um organisations What were most effective?
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Some of these things I feel were answered more than others.
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What method?
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Well, there were 17 countries involved,
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and this time it was survey data from more than 15,000 primary and
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more than 9000 lower secondary future teachers.
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And they also ask close to 5000 teacher educators this
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time it was 500 institutions of pre service teacher education,
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451 part, so it could be several units within an institution.
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451 units were preparing primary teachers and 339 secondary teachers.
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They looked into opportunities to learn belief knowledge,
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just like empty 21 but also national institutional policies, curricula. And
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yeah, it was really It really is a very large scale study.
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I don't know why Maria Teresa, who had a lot of this go crazy.
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Uh,
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here's an overview of some of the parameters and some
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of the connexions that they wanted to look into.
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Um,
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you can you can look into that more if you're interested.
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The results?
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Well, they found that there were there was a complex amalgam,
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as they say of of factors.
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Um, so and I'm going to quote here. That's why there's little starter.
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Remind me from a substantive point of view.
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We learned right that achievement in different domains of teacher knowledge.
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So the content, knowledge, the mathematical pedagogical content,
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knowledge in the general content knowledge can differ a lot
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and the achievement of teachers from different programmes
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within a country can do for a lot,
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too.
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We can learn the most for policy efforts with
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within countries to improve the effectiveness of the system.
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Overall,
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teacher knowledge does not seem to be an exclusive function of societal features.
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All the features of incoming students all of the length
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or the structure or the content of teacher education only,
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but a complex amalgam of these characteristics.
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And perhaps that is not surprising that the social context and the culture uh,
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what the students know when they come in, how long the education is,
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how it's structured and what is contained in it are all things that influence.
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But that's basically what what they say here,
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Um, based on the way that the student teachers performed in the, uh, sorry.
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Now what they said about the opportunities to learn mathematics, they
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they tested what number of groupings were gave the best fit,
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and they came up with three and they've shown here in a graph,
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you can see the darkest line, the first class one, in a sense,
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so that's a high level of university mathematics as you can and and on the
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on the y axis, you have the probability that somebody would take these topics,
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and you can see that for all but advanced calculus and topology.
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The students have more than a 50% charge of having
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had these courses and even things like differential equations,
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set theory, logic, the foundations of geometry differential geometry.
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Uh, and I think multiple and cultures can be included there.
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There's more than 80% chance that students in this group have taken these,
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even if they were sometimes elective,
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uh, compared to the lower group, which is much more school mathematics.
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So number theory here, I don't think means mathematical number theory,
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but just the fear of number, um, slightly different.
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Uh, so they've had
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that reasonably covered and they've done some probability.
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And the rest of the topics, uh, there's a very low chance that they've taken this.
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So that's the third class that school mathematics.
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And in between, that is the class to which is sort of
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less advanced or more basic university mathematics. So they've taken some topics.
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Um,
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there's there's a reasonable chance that they've taken them some statistics, um,
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some foundations of geometry, But
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there's very little chance that they take multi calculus in topology, so uh,
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that was the way that they grouped
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the opportunities to learn mathematics. And
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then they could even say that certain countries fell into some of these groups.
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So Thailand and Malaysia were in the first group.
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Most of the countries were in the second group,
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but Germany and Singapore were in the lowest group.
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And you can be surprised. I'm sure
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the Germany of all countries would fall into
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teaching school mathematics only,
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and that had something to do with which programmes had been selected.
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So they do make a comment about it
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that one institution probably alters the overall picture.
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They did the same for P. C. K for mathematics,
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and um, also came up with three classes there.
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And you can you can sort of get the picture that
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it was another very broad mathematics pedagogy on my PC.
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K.
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It was what they called functional or it was a focus just in teaching methods.
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So those are the three groups they have here,
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so either you cover a lot or you cover
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few topics to a high degree.
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But certain things there's a there's less chance that you cover those,
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such as the foundation of mathematics or philosophy of mathematics
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or context conditions, um, or even effective
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issues. So
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but and then you can see the last group cover.
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Teaching methods cover something about development of mathematical ability,
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but not a lot of observations.
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And not a lot of the more advanced topics and PC.
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So those are the groups. Um, you might
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I don't know what would surprise. You're not, uh, again.
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We had Germany mostly on teaching methods on the lower group.
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Um, there were three countries in the middle group Taiwan, Singapore, in Poland,
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and then Botswana, Malaysia and the Philippines, Switzerland, Thailand,
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Russia and chill.
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I had a broad curriculum.
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There were four countries that were hard to place,
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and the way I understand it is because they were too much variation within
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the countries as you couldn't really say that they had a very unique profile.
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I have been a little bit naughty nonetheless and
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and put them in a little
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table based on
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what they seem to lean the most towards.
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And we get this picture that in Thailand and Malaysia, we have
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at grant student
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university, mathematics and a broad range of mathematics. Um,
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B C, k, uh, concepts or coverage.
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We have, uh, Russia, Philippines, Chilli, Botswana, Switzerland and,
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to some extent,
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the US and Norway with more basic university mathematics but very port
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P C K.
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And a little bit less broad, more functional. PC k.
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We have Taiwan, Poland and possibly Georgia,
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um, and
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Spain sort of
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teaching methods but mathematics.
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And then when it comes to school mathematics,
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you might find it very interesting that Singapore is there, that they spend a lot of,
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uh,
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that the content that teaches mostly school mathematics and that the
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P C K is not covering all of the aspect.
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And I think it's, uh
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it's interesting to look at the culture and the way
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one understands the job of the teacher in these countries.
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Um, and we can talk about that. And then Germany again placed place there. And
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yeah, maybe that's why the Germans continued looking into this. I don't know. Um,
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so that's an interesting thing.
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Um, they then also, of course, uh,
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looked at Well, maybe I should say that it was quite surprising
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that there was a difference between
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the future. Uh, if you saw in the performance on the tests
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that
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teachers that had done a functional curriculum actually had better P c k scores.
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So maybe I should just go back to this table.
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Uh,
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so and I think this raises a very interesting
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point that we discussed in a workshop last week.
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If you try to cover all the PCs that we're talking about,
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the broad mathematics pedagogy here, uh,
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they were actually the students that had worked in a functional curriculum,
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which then would be mostly Taiwan and Poland,
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but possibly also institutions elsewhere.
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They performed
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a little bit better. There was a difference in 4.2 test points. So not super much,
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Um, then those with a broad curriculum.
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And then they those who had just had the teaching methods,
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P C K curriculum performed worst of all.
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But of course, it's hard to say.
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Does this have to do with the test questions or is it really?
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Because it's better to learn a lot about fewer things? So,
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um,
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they conclude that
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primary teacher education, which we're talking about here, maybe,
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but less pronounced, maybe less different, less, uh,
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genius than than previously assumed,
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because there are some topics that's taken by most teachers.
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But they also feel that the culturally shaped visions
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of what eternal should be existing country levels,
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as well as
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within countries where you might implement different versions of the divisions
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and then they end up with,
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Well, they don't end up with. But in the overarching results,
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they come to that figure that I had before the summarises some of the factors.
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I don't know why it copied so badly.
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But, uh, so, interestingly here the gender was found to be
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a factor.
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The boys perform better or the young men perform better on the content knowledge,
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but not the P C. K.
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And this could be something to do with the history of the whole school system.
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The way they perceived that they had done in high school Influenced, uh,
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was correlated to both their content knowledge and their PC K test results.
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The number of math classes they had taken to both and their
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motivation both for the subject and more extensively also to both.
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The opportunities to learn mathematics influence both of these.
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But they found more indirect link where it appeared to be something about that
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teachers that had high school achievements, that we're good.
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We're more likely to pick, uh,
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programmes that had more opportunities to learn mathematics pedagogy.
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So that was a bit interesting.
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Um,
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so gender,
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high school achievement and a number of mathematics courses were
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the most highly significant when it came to content,
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knowledge and high school achievement and a number
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of math courses most highly significant for P.
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C. K.
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And that could be a surprise that it's not
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the number of PC care courses and and motivational,
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of course.
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Um so it's interesting that the content courses during
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teacher education influences P C K so strongly,
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while the P C K courses matter less.
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These factors were fairly strong,
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so whether or not the courses were research based didn't seem to matter so much.
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And, um,
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as I said, some of this could be explained by the students.
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With better high school,
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the team tend to choose courses that has
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more opportunity to learn both mathematics and PC.
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I'm gonna continue this in a third recording,
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so hang in there