Wikidata:WikidataCon 2019/Program/Sessions/Education panel
|ID : SE-7||Education panel|
|Speaker(s): Shani Evenstein, João Alexandre Peschanski, Ewan McAndrew, Akbar Ali, Debora Weber-Wulff||Timeblock: tb-saturday||Start: 11:30||Slides: File:Wikidata & EDU Panel WikidataCon 2019.pdf|
|Room: Einstein||Duration: 55min|
Wikidata will be turning 7, yet it is still fairly young. We are merely beginning to explore its potential as a teaching and learning platform in Academia. Wikidata has the potential to not only help its users find precise and meaningful data, or explore various topics for learning purposes; but also help educate the general public about how to interpret the data they encounter, recognize knowledge gaps, sharpen the critical thinking and their understanding of how to verify data correctness or completeness. These capacities are especially important in an era where Siri, Alexa and other AI agents use Wikidata and users take their answers at face value, and represent some examples of the capacities that fall under "Data Literacy" that will be discussed in the session. This panel will focus on featuring various examples of experimenting with Wikidata in educational settings around the world, focusing on different ways of engaging students, discussing known best & worst practices and brainstorming about new and exciting ways to better incorporate WD into Academia.
To achieve this goal, we have assembled a group of Wikidatans who have been experimenting with WD in Educational settings. Among the examples that will be discuss are:
The panel will include 3 main parts:
If you are using Wikidata as a teaching or learning tool in an educational setting, or are interested in doing so, this session is for you!
|People planning to attend:|
|Next session in this room: OpenStreetMap and Wikidata|