It’s been a busy period for the OER World Map team! There has been a lot of development work taking place – including a new brand identity and UI overhaul for the OER World Map (which has a great new landing page). The refresh was launched at OER18: Open to All – 9th Annual Conference for Open Education Research, Practice and Policy which took place in Bristol, UK between the 18-19th April. The event was used to assess the use of the map as a tool for collecting and visualising data about conference attendance and activity. Continue reading
Our second team meeting for 2017 from the 18th to the 19th May took place at Cologne. The North Rhine-Westphalian Library Centre (hbz) is in Cologne where four people of the OER World Map team are located. So the other members of our geographically dispersed team had to travel this time coming from Milton Keynes, UK and from Berlin. The two days were as always filled with constructive discussions and good teamwork. Continue reading
From the 16th to the 17th March we met for our first “physical” team meeting in 2017. The two days were filled with lively discussions and effective teamwork. Our colleague Felix was our host. We met at the office of graphthinking in Berlin, Köpenick. Many thanks for the hospitality and possibility to meet in the German capital only hundred meters away from the lovely river Dahme! Continue reading
During a small research project starting during Open Education Week, we will try to look for ways to map Open Education Week, e.g. to put the activities of Open Education Week on the OER World Map.
Our interest in mapping Open Education Week data is twofold: on the one hand we made progress defining our data model by taking real world examples and trying to model them on the OER World Map. Initially we used OER stories for doing this on a micro level, targeting individual actors and activities. Just recently we produced the OER Atlas, giving us the experience of collecting data of a complete country. Collecting Open Education Week data will provide us with another interesting example of collecting real world data on a macro level. Continue reading