 Hello, everyone. Welcome to today's presentation about WikiData for Education. This is a project and it's an initiative that aims to align the sum of all knowledge that we hold in WikiMedia with this co-curriculum. And this presentation will be held by me, Dien, and Justice today. And we hope you will like it and you will get an insight about this project and probably help to build and grow and push this project forward. So next slide, please. So I will first start by just giving an overview about the steps or the summary of this presentation. There will be an introduction and then explain in a bit what is WikiData for those of you who are not familiar with the concept of WikiData. And then we will explain the curriculum information as strict or data. And then we will talk about why do we need to model the curriculum. And we will explain where are we right now at this project, and we will move to explain the curriculum data model that we came up with. And we will provide examples as we use Ghana curriculum as an example to upload it on WikiData using the data model. And we will move to where are we right now and what is next for us. And also we will explain the campaigns that we managed to do that resulted on top of this work and data project. Next slide, please. So what is this project about? WikiData for Education is an initiative that aims to improve the world's ability to access relevant data about school curricula and to simplify and automate finding and aligning open educational resources to national curricula. It's a project that aims to use technology to enhance learning experience in foster collaboration among educators. What we mean by that is that we have a lot of resources online. And at the same time, we don't know how to collect these resources and how to align them to the curriculums that exist in different parts of the world. Especially that curriculum differs from a country to another names of levels and structure of the courses differs again from a country to another. But sometimes the names differ, but the content is the same. And we might be able to standardize all of this and to modelize all of it in one place where people can just query and get the information that they need in order to provide the resources or to support this educational system. So that's what the aim of this, like the main idea behind this project. Next slide, please. And to do so, we decided to use Wikidata. So we have a brilliant project that was introduced. And it's just so Wikidata is technically a central storage structure data that can be edited and read by humans and machines. And that's exactly what we needed. We needed a structure or storage where we can put the curriculum data in a readable way for people, humans and from machines as well. So that we can we as people upload the data of the curriculums following the model that we will introduce. And at the same time, we can query it in order for us to do some comparative analysis in order to provide resources to study these specific curriculums to compare between curriculums. Like there are many use cases that can be held. So Wikidata or the way we present these items or like these topics on Wikidata is that each object is represented as an item and each item can be described by a group of properties. And items can also be connected to each other using properties as well. So it's more of a connected network of nodes where each node represents an item. Next slide, please. So now that we managed to find which platform we will be using for this project, which is the Wikidata. We started also to think about why, like how to upload this kind of information or the curriculum information to Wikidata. And to do so, we collected few curriculums and the structure of these curriculums were a bit tough to just like you cannot just copy past information from the curriculum to the Wikidata or to any structured database, because the curriculums are represented under like textual format in documents such as PDFs. You can just find a paper format like each country can write down their curriculums in a specific format, either PDFs, documents on websites. So it's not really something they can just use easily. So we needed to translate this information or this curriculum to a model that could be used in any structured database, including Wikidata in our case. That's why we decided that we need the model to transform this information into a modelized information as well. So that's why we start working on the model and we come up with a model that could englobe all the information about the curriculum in a more structured way. Next slide please. Now maybe you will ask why even bothering yourself to model this whole curriculum and to put it in a structured way and to put it in a database. Why do we need all this? I will come up with a few scenarios and use cases and then you will see how important this project is. Let's say you're a volunteer in Wikipedia. You are editing documents and you decided that you want to edit dog like or like write down articles that would support education somewhere or that would be aligned with curriculum somewhere. In order for you to do that, you need to know which articles are missing, which articles exist in that are aligned with the curriculum so that you can either improve them or create them if they do not exist. How would you do that if you don't know what each curriculum is about or what each curriculum is aligned with? So to do so, you can now do it actually with the model that we have in with the items that we upload in Wikipedia. You can just write a simple query that we will show afterwards in this presentation and then you can figure out which articles are missing and that are aligned with a specific curriculum in a specific country. And you can take the initiative and write down an article and that's how you can easily help thousands of students to have a resource of information about a specific topic that would be aligned with their curriculum. A second scenario or like a use case that I can think of is let's say there is like an educational company or like educational organization that wanted to support education somewhere. So they wanted to create a portal or like a website where each student or like teacher can just go type in the country, type in the level, and then they will get type in also the subject. Let's say Mathematics and they will just get the resources that would be aligned with their curriculum and for their specific level of education or stage of education. How would this, you know, how would they do it if they don't have what kind of materials or resources are needed for this specific level, what kind of courses are thought or like in a specific level for a specific country, how would they know. So for us with this model, it's possible now to just run a query and you will get the list of all the subjects in the courses for a specific level for a specific country and then you can, you know, upload the as many as resources that you want and you can also explore what kind of curriculums or what kind of courses these countries are teaching for a specific level. Another use case that I can think of is let's say I was a researcher PhD candidate and my main focus is actually education. I want to do something to improve education and to start with I need to do comparative analysis between curriculums in different countries. I have no resource, like no baseline to start with. There is no core database where I can find these informations, or where I can do some comparison. I cannot do that because the information of the curriculums are presented under PDFs and documents that you might get access to or you might not. So the idea behind this is to provide all these information somewhere into centralize these so that anyone absolutely anyone can just go and do their comparison and compare between curriculums in different countries and different levels and they can see what is lacking, what is good, what is what is probably what needs improvements and they can come up with brilliant idea within their research that could probably boost education in this country or another one. The other use case that I can think of, maybe we just want to build an automated bot that would answer your question about a specific country for an educational level saying like I want to get the curriculum for this country for this level and I want all the Wikipedia article aligned with it. You can't do this if you don't have this information as in a machine readable way. So in order for us to make education accessible by machines, by AI projects, we need to provide the data so that initiatives would start from there. These are like just basic use cases that I can think of but there are like plenty of other use cases that you can come up with and this is why this project is important and this is what we are unlocking by modeling this information and by making it available on Wikipedia. Next slide please. Where are we now? So we've done the data collection which means collecting all the curriculums that we needed. First we studied multiple curriculums to understand the difference between curriculums and then we come up with a data model that could at the same time keep the localized version of the curriculums but also try to standardize these to make it easy for us to compare between them and to link between curriculums in different countries. So we provided a data model and the third stage was about uploading data on Wikipedia respecting the model and we run some campaigns and we took Ghana as an example and we managed to detect the missing articles in specific languages for specific levels of education. And there was a campaign that the user group managed to run there and they created many articles that were aligned with curriculums and they made this knowledge now accessible to students there. So it was a brilliant initiative from them as well and we managed to see brilliant results out of it. And now we're in the final stage of the project which is published in the report or like writing the report so we're finalizing the report and that will be published soon and you can read it. It will be shared by us and you can read it to get more in depth understanding of the project. So this is where we are now. We're in the final stage technically. Next slide please. And this is a glam about the model. So this is like a simplified version of the model. It's pretty complicated I would say but I managed to just show like how items will be created on Wikipedia and how they will be connected. So we always start by the parent item on the on the left. It presents which curriculum we are trying to upload here. So we took Ghana for example. So we are trying to call the national curriculum of Ghana and then this item is linked to different items that represents different level of education. So we have the first one represented in the national curriculum of Ghana for high school. Another one for secondary school and you get and you go and it goes that way. And then for each level represent the specific educational years. So it could be the first year of high school second year of high school third year of high school. Each one will be represented by an item. You move again to the next stage and for each level for each educational year let's say the first year of educational. Let's say the first year of high school. We will present again multiple items that would represent different subjects math social studies physics any kind of any kind of like subjects that we are teaching. And then after that for each subject we present the specific that say courses that are taught. And within that we also define which educational level this course belongs to which subject discourse the discourse is aligned to we also present the list of courses that are aligned to this subject. And for each course we also specify the the sub parts of course because some courses are like subdivide divided to like multiple sub parts. And that's what we call their content standard. It's in the right of this of this slide. So I'm just trying to share with you like an insight of how the items are created and how they are connected. We start from the basic or general item that represents which country we are trying to model here and it goes down until the tiniest detail the course which is like the sub part of a specific course. And that's how the model is that that's how this whole concept is is mobilized. You can get more details about the model in like technical depth by checking the the official page of the of the project or also by reaching out to me you can reach out to me. And you can get like to discuss many many many you know technical details like you're passionate about this and next slide please. All right. So thank you so much. Scana for all this wonderful presentation. Yes. So my name is Mohammed Kamal Din Fusani. I go with the username D and she told me and based on the model that Scana has explained we managed to upload some curriculum data some curricula data on wiki data and this is just a QR code you can scan together. So I'm just going to demonstrate this for you to see quickly. So if we open this if we open this on a new tab we are going to find the uploaded information based on Ganesh curriculum. Now the model was the model provided all the information we needed the the structure of how the items should look like and that was how it was uploaded. And so this is how the Ganesh curriculum looks like. So this is social studies curriculum for basic seven basic eight basic nine and for all the other for subjects there are more. So we again uploaded we tried to implement this project also in Uruguay and this is a QR code for that one as well. Now we're now thinking about what is the broader perspective of the data with regards to curriculum information and if you look at this QR code you're going to find all the curricula data currently uploaded on wiki data and that is pretty much found here. Because of time I would have loved to go into the nitty gritty for you to find every item but once you have this link you'll be able to navigate through all the items. So for instance if you come to Ghana we have social studies curriculum for basic seven social studies curriculum for basic eight science and all the subjects that have been studied for a particular level. When you go in there you are able to find what are the core competencies what are the content standards what are the indicators what we show that the student has learned you're going to find all that as well. So we have uploaded content for Ghana and also Uruguay. Now the data we have uploaded on wiki data were linked to Wikipedia we wanted to find out how these articles can make these items can make reading Wikipedia or the articles on Wikipedia more useful. So we created some queries to find out the knowledge gap this query you have you are seeing here takes us to the English articles on we English Wikipedia for social studies curriculum for basic seven. If we run this we're going to be having we're going to be having about 47 relevant articles linked to the Ghana's education curriculum for social studies curriculum for basic seven. Now if this is compared with the French Wikipedia the story changes you are going to find that we don't have. Equal number of articles that shows that there's a knowledge gap imagine someone who speaks French fluently and wants to be able to learn about the Ghana's curriculum on the French Wikipedia. Here we have 38 results but on the English Wikipedia we had 47 the same story goes for the Igbo Wikipedia. Let me do for the one Wikipedia the one is is a long way that is spoken in Ghana. Amazing so Ghana only had the one Wikipedia only have three relevant Wikipedia articles linked to the Ghana's curriculum for social studies. We also looked at the knowledge gap for the three Wikipedia and currently is being worked on so that we have a balance of articles. It used to be one now it is 11 it means that we are able to we are trying to fix the gap and efforts are being made to fix this gap you get to learn more about this in the campaign section. So what is next year we are looking at getting the few properties that are left approved so that we will be able to better visualize the kind of data we want to upload on Wikipedia data. Again we also want to add more curricular information on Wikipedia. If you if you had scanned the QR code for all the curricular data worldwide on Wikipedia you'll find that we have very little information looking at the number of countries the number of courses the number of subjects studied in different parts of the world. We have very little so we are looking at scaling this up getting more communities involved getting more user groups involved so that we get to upload relevant curricular data for each country on Wikipedia and also come up with fundraising applications. That will be able to help people with non technical backgrounds to just click away and be able to access this curricular data that has been uploaded. And this is going to help educate teachers researchers and also students to learn more about the relevant content that is found on Wikipedia because we are looking at the total sum of human knowledge. So if Wikipedia and its sister projects are the total sum of human knowledge we should have curriculum data. So we're going to continue the campaign of educating teachers researchers and students to better utilize Wikipedia and its sister projects. And again we are looking at continuous improvement of the model while expand on other curriculum because different countries have got different curriculum structures. And for now with the model that we have each issue work for every country. Perhaps there could be some there could be some changes or some little bit of bottlenecks that needs to be fixed continuously update this curricular information. Alright justice. My name is justice and I'm leading the campaign section on behalf of media data user group on this campaign yeah next slide. So the campaign essentially is to close the content gaps between the curriculum data uploaded to wiki data and it's corresponding articles. Next slide. So essentially when we started this campaign we were looking at the English Wikipedia and two other language Wikipedia's making it three. So in total we were working with English tree and now the Wikipedia which is still yet incubator but then there's a community working on it. Yeah next slide. So essentially what the campaign was to do is to create an overarching multiple campaign that was going to improve the content in at least two subject areas. But then we ended up doing three three subject areas which was computing science and social studies and then we're looking at the basic seven eight and nine. This was supposed to span a three month period but then due to a number of concern were able to scale it down to about three or four months. And then now we will be able to post a number of the campaigns that we we've done so far. Next slide. So essentially we've run campaigns in the three languages. But then when we got to the tree Wikipedia with due to the nature of the translation that they were supposed to work on they've done three in person events so far we've had one English event which is on social studies. And then one translation event for the gun Wikipedia in incubator which also we were able to do a number of edits. So so far that we've been able to do a number of campaigns on all the languages and all the language Wikipedia so on and the subjects. Now we are moving on to the next phase of the project where we wrap up with the tree Wikipedia the English and then the gun within this month. Next slide. So these are some photos from the campaigns that we did in the various languages. We did for social studies we did for English and then we did for tree tree. No we did for social studies in the English language and then we've done for tree and there are there are subsequent campaigns to be had within the space of the next three months three weeks so that we wrap up the campaign as well. Next slide. My name is Nina Chachu. I am also known in Wikimedia as Abrewa Akra Lady. My full-time job is head librarian at HSC University here in Ghana. I found it a lot more interesting than I was expecting. I was glad that it had links to Wikipedia and how to improve Wikipedia and the information that is there on Ghana. I think it's something really great. I think it will help the students but I think it will actually help the teachers a lot. My name is Ezekiel Adi and I'm a social media strategist for the Multimedia Group. I think it's very important especially someone who is in the space. It makes information access easy and also helps with collaboration and in our context people are able to have access to much more information and create diversity in the kind of information they put out there. My personal opinion or view of this web shop I think it has really further brought out the really important issue about diversity and the need for multicultural content on Wikipedia. Next slide. So far we've done campaigns in the tree Wikipedia. We've also done campaigns in the Ghana Wikipedia which is an incubator. Next slide. Like I mentioned earlier we are in the last few weeks of this campaign and we are learning a lot of things from this process. And hopefully by the time we are done with all the campaigns and our reports are ready there should be a significant change in how we approach some of this curriculum data on both Wikidata and then on Wikipedia as well. Next slide. Next slide. Yeah so these are my colleagues that led this presentation with me. Thank you. Again we thank you all for following this presentation and yeah we wish that you enjoyed it and that you've learned from it. And please feel free to reach out to any one of us if you want to learn more about the project. Thank you. Thank you.