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The launch of the Learning Ladders GL Dashboard

10/06/2021 @ 11:00 - 11:45 BST

How can we interpret and compare different sets of data from our GL assessments in Learning Ladders?

Our schools have asked, so Learning Ladders has responded with the new Learning Ladders GL dashboard. 

Join Learning Ladders Founder Matt Koster-Marcon in this short launch webinar where he will share how the GL dashboard can support schools to:

  • Spot trends in data
  • Make comparisons between summative and formative assessment data sets
  • Form an insightful picture of each child’s learning.

Yet another tool to free up teachers to have valuable conversations about learning, an opportunity to activate all adults involved in a child’s learning.

Whatever your role in school, senior leader, teacher, or assessment leader, find out how the Learning Ladders GL dashboard creates accessible information for all.  

If you missed the webinar, take a listen to the webinar below:


Webinar Transcription:

Matt: The new GL Dashboard’s in Learning Ladders, we have a number of schools, particularly in the Middle East, where it’s mandated, obviously using GL assessments but you can use any commercially available summative assessment data in Learning Ladders. But GL is one that’s particularly popular with our schools and it’s been one that we’ve been looking to see if there’s a way that we can help.

So GL will provide you with really, really detailed reports when they give you your report analysis. And that’s clearly where you should go for most of the analysis. So what we’re attempting to do at Learning Ladders is give you a very top line view and easy to analyse either individual children or individual groups type introduction to your GL data, rather than any highly sophisticated or very, very detailed analytics. So, for example, we don’t make any attempt to calculate confidence intervals throughout the system but you should be aware of those when you’re looking at your GL data in depth, obviously. So this is really designed to give you an idea of what the GL data is telling you about your children in the round, alongside all the other data and all the other information that you have about GL. So that’s that’s a little bit of a sort of health warning of what we’re going to talk about.

My name’s Matt and I’m CEO founder here at Learning Ladders. The first thing to note is that the GL data itself comes in about 30 or 40 different file types, and that’s been a real challenge for our dev team. So when you’re using the system, the first thing that you’ll need to do is go into the system and import your data. You’ll find that if you’re already a Learning Ladders user, if you go into the menu, when you’re logged in as an admin, if you go into the summative data and you click on GL assessments, you’ll find the import. So just click on the import data and select the information here. There are help guides already on the help centre.

So if you go through to the help centre and literally just typed in GL, you’ll see that there are help guides in there already. And that goes through the same information that I’m about to talk to you now. Just a little bit more detail explaining exactly how to upload that. And obviously, if you do have any issues or you come across a file type that we’re not yet aware of and it doesn’t for some reason import in the way we’re expecting and you’re expecting then then do reach out to the office and we’ll support.

This is a brand new feature. We’re not able to directly extract the information from GL via an API or something like that. So there is this manual process of taking it from your GL account and uploading it into Learning Ladders. And there is this complicating factor. The GL have a huge number of file types available, so mapping them has been a bit of a challenge from our point of view. So make sure that you’re aware of that. So that’s where you get them into the system. And once you’ve got that into the system, that’s the simple process. And then in terms of actually viewing the data, once you click view the data and you’ve selected who you’re interested in, you can then view the data here and what you will see are different sections of the dashboard.

So this section here is showing you the various CAT4 scores and specific progress test results. So these three sections here are looking at your various CAT4 scores and in this case, progress test for English, progress test for maths, progress test for science. And the idea behind doing this is very, very bluntly and crudely is so it may give you some useful indications about how a child is actually performing against what their CAT4 data may suggest is very, very simplistically potential. There’s a huge health warning around making two broad interpretations around this, but I know that’s a way that a lot of people use it and that’s quite useful. So that’s why it’s been set up in this way. So you can toggle across, you can look at each of the CAT scores for the current year and the most recent progress test scores for the three subject areas here. That’s what this is all about here. This section over here is the CAT4 results, multiple years or an individual year if you just uploaded one year, but you can also review multiple years here. And this obviously just gives you a picture over time for either the individual child’s CAT4 scores if you’re looking at an individual child in your selection like I am here, or the average of the group selected their trends over time. If that’s what you’re looking at.

So within the selecter, you can select various different people. You can choose to have a look at it by year group, by class, by particular types of teachers, by groups. If you use teaching groups within the school and you want to have a look at the CAT4 data for that particular group, you can view it by that particular group. You can view it by SEN group and stuff within the system as well. And any other characteristics, ethnicity, any other characteristics that you like. So it’s proving very popular with SENCOs, for example, because it’s a really easy way of extracting information about your target children within a dashboard. So that’s the selector here. And then you just choose the pupils from that. So you narrow it down by your target group, then you can narrow it down to individual pupils or have a look at the entire target group.

Then what the system will do is it will display either the actual score of an individual student or the average if you choose a group of students. So obviously when you start averaging it, you just need to be aware that that makes the data slightly more blunt. So this will start to give you obviously trends across time and that will prompt conversations, obviously, hopefully about learning.

The next part, the dashboard down here are your progress test results over time. So, again, just looking at multiple years progress test results and looking at trends over time. So this particular child I’ve chosen here looks to have had a dip last year of even that relatively consistent. They’re sort of in a consistent area here. So this may prompt some conversations and something for you to have a think about in terms of their performance on their progress test scores. It will also bring in your Pass survey data. So if you’re doing Pass scores attitudes to learning data, you can import that as well.

And again, look at it from multiple years. This, we think, will be particularly useful in a post coronavirus post lockdown environment when you want to track children’s attitudes to learning. And it may well be that looking at this across multiple years, you may see some changes, particularly in the most recent years compared to children’s historical Pass data. And that can give you some really valuable insights into into that child’s particular learning. And then this final section here isn’t populated. This is just a test site. It’s not a real child. This is your internal data. So this is your internal assessment data for maths, reading, science and writing in here. So your internal formative data that you can view it all in one page, you can toggle between viewing the data in various different ways. SAS is obviously the most common and therefore the default.

So that’s within your system. It should be enabled within your system already. If it isn’t just contact the office, we can enable it for you. Like I said, read the Help Guide so that you can get the import process because there are different file types and they do need to be imported in different ways. Check the data. This is brand new. This is what we would call a sort of beta testing feature. It’s obviously highly complex to get all this data and so do let us know if there are any anomalies or any things you are not expecting or you use a particularly different sort of file type that we’re not yet used to and use it as part of the overall picture. That’s clearly what we’re aiming for here.

So you’ve got your Gap Analysis, obviously, where most of the time people are looking at children’s starting points in learning. So that’s the Gap Analysis that’s in Learning Ladders already. You’ve got your curriculum analysis. So this is looking at your cohorts across multiple years. It’s a really good thing to look at your formative data across multiple years as well as now your summative data across multiple years. And we’ll do webinars on that in the future as well. But you have all the information in the system now as well. And you can also use the system within the summative assessment section to do some simple analysis like this one is that is a regression analysis comparing two points in time data for SAS progress. This is particularly useful if you’re using progress tests, if you want to focus on children who are effectively stuck up significantly above or significantly below age related expectations. So these children here in the bottom left quadrant here are all below 100, which would be, you know, you’d want to see them ideally being above a hundred. But these children here, although they’re below one hundred, they’re getting higher scores, they’re improving. So that’s very positive. These children here, the top right quadrant, although they’re significantly over 100. So they’re performing extremely well. They are, in fact, going backwards. They’re performing less well than they did in the past. So that should prompt conversations. So there’s lots of different aspects to looking at this data, considering it as part of an overall picture of the child. And that’s quite useful, obviously. Then have the aggregated formative data in the system. All the formative stuff is still there. If you are interested in this, go to the website, if you remember already, literally, it’s in there already. Just check it.

If you’re not a member already and you want to find out a bit more about this, the best person to contact is stella so her email address is Stellaj@Learningladders.info, or if you click through the website that you better use the live chat to contact us. And if you’d like to reach out to me, you can find me on social media or through email. That’s it. Like I said, this is intended to be a very, very quick introduction. I’ll hang around for a couple of minutes in case anybody has any questions, but I hope that was useful and I hope that gave you a broad summary of what we’re doing and how useful it’s going to be. I know we’ve had a number of test schools using earlier versions of this, and they found it extremely useful already. So I really hope it does save everybody a lot of time and improve those those conversations.


11:00 - 11:45 BST
Event Category:


Learning Ladders