Shani Evenstein Sigalov
Dr. Shani Evenstein Sigalov is an educator, lecturer, researcher and Open Knowledge advocate, interested in the intersection between Education, Technology, Innovation and Openness.
Her PhD focused on the Semantic Web, specifically Wikidata, as a learning platform. Her Postdoctoral research includes exploring GenAI's impact on knowledge consumption and production; Linked Open Data and its connection to Digital Humanities; Critical Ignoring; and Self-Regulated Learning.
As of 2019, she serves on the Wikimedia Foundation's Board of Trustees.
Sessions
We examine teachers' experiences using Wikipedia as a teaching tool in higher education worldwide. While no gender or age bias was found, there's evidence of a global digital divide, with English-speaking regions more active. Most instructors integrate Wikipedia into assignments, using tools and materials developed by the Wikimedia Community, reporting positive teaching experiences but noting time-consuming nature of this activity. The COVID-19 pandemic saw a seamless transition to distance learning using digital assignments.
It has been a year since Wikimedians took the stage in Singapore to share their excitement, concerns, and open questions about the impact of ChatGPT and other generative AI technology on our movement. This panel will bring together 5-6 diverse voices from our movement – volunteers, affiliates, researchers, and Wikimedia Foundation staff – to discuss how Generative AI is showing up in our movement's collective work to grow and sustain the sum of human knowledge.
Chat with the Wikimedia Foundation trustees about the pressing issues facing Wikimedia.
In this workshop we will explore ways to improve day-to-day wiki workflows using various GenAI platforms.