WEBVTT 00:00:00.000 --> 00:00:14.500 International surveys are gaining in popularity now in respect of producing information which 00:00:14.500 --> 00:00:19.920 individual nations can reflect on in terms of their own performance and then think about how 00:00:19.920 --> 00:00:27.320 say complex factors mixed together in different systems to give them either poor or high performance. 00:00:27.320 --> 00:00:34.480 I think these surveys are a good tool for pointing out to us those systems that are improving 00:00:34.468 --> 00:00:38.348 and those systems that have put in place policy which have led to improvements. 00:00:38.348 --> 00:00:42.068 And that in itself is a very, very important mechanism. 00:00:43.188 --> 00:00:46.188 Obviously each country has its own culture, its own history, 00:00:46.188 --> 00:00:49.788 it has its own complex conjunction of factors 00:00:49.788 --> 00:00:53.308 which give rise to performance in their setting. 00:00:53.308 --> 00:00:56.588 Now the good thing is I've been able to say that. 00:00:56.588 --> 00:00:59.628 You know, it's a recognition that that's happening. 00:00:59.628 --> 00:01:02.908 And that can help with the sensitivity with which we approach 00:01:02.908 --> 00:01:06.888 the outcomes which these surveys produce. 00:01:06.888 --> 00:01:08.928 They are relatively new, 00:01:08.935 --> 00:01:15.775 So governments are not necessarily tuned to using the outcomes with precision and fidelity. 00:01:15.775 --> 00:01:21.695 And David Rafe has, I think, introduced a very elegant phrase, which is policy learning. 00:01:21.695 --> 00:01:26.555 In other words, you look at these other systems, you look at the way in which things interact, 00:01:26.555 --> 00:01:30.355 and then you can reflect on your own system and what interventions might push your own 00:01:30.355 --> 00:01:33.275 system in the right direction. 00:01:33.275 --> 00:01:37.655 These surveys have to select things that are in common across systems. 00:01:37.655 --> 00:01:43.415 kind of a prerequisite that the items make sense across the totality of those participants. 00:01:43.403 --> 00:01:47.403 in the sample, so they do tend to converge on certain things. 00:01:47.403 --> 00:01:52.403 We do have to watch this problem of countries increasingly converging 00:01:52.403 --> 00:01:55.403 just on the items within the surveys. 00:01:55.403 --> 00:01:59.403 That would be undue narrowing of the curriculum focus of nations, 00:01:59.403 --> 00:02:04.403 and it's something which OECD and researchers are actually warning against. 00:02:04.403 --> 00:02:09.403 The underlying methodology and the assumptions which drive these surveys 00:02:09.403 --> 00:02:13.403 should of course be subject to constant scientific scrutiny. 00:02:13.403 --> 00:02:17.863 The improvement in the methodology is actually a double-edged sword. 00:02:17.871 --> 00:02:21.471 because as the surveys get better and they're more finely tuned, 00:02:22.151 --> 00:02:25.011 of course you're not actually then comparing light with light 00:02:25.011 --> 00:02:26.791 because you've changed the measurement instruments. 00:02:27.471 --> 00:02:30.911 So this methodology area is one which is fraught with problems. 00:02:31.471 --> 00:02:34.531 But I'm convinced that we're becoming more and more elegant 00:02:34.531 --> 00:02:37.191 and more and more refined in the way in which we're running these surveys. 00:02:37.731 --> 00:02:41.331 It's all looking pretty good in terms of the way in which 00:02:41.331 --> 00:02:43.351 we're building up a science around these surveys. 00:02:47.871 --> 00:02:55.131 by