Research at the Service of Free Knowledge
January 24, 2020
Leila Zia is a Principal Research Scientist and the Head of the Research team at the Wikimedia Foundation, the foundation that operates Wikipedia and its sister projects. Her research interests include quantifying and addressing the gaps of knowledge in Wikipedia and Wikidata, understanding Wikipedia's readers, and studying the contributor diversity on Wikimedia projects. She received her PhD from Stanford University in Management Science and Engineering.
A New Lens Opens on the Impacts and Promises of Digital Media
mediaX Faculty Advisor Emeritus Byron Reeves leads a study that captures millions of screenshots in hopes of transforming our understanding of everything from fake news to depression.
New Research Projects Focus on Rationalizing Human Learning Experiences
Three innovative projects with great potential for long-lasting impact on learning sciences have been funded by mediaX at Stanford University.
mediaX Thought Leader Shows High School Students are Unprepared to Judge Credibility of Information on the Internet
Professor Sam Wineburg co-authors a report showing prospective young voters are poorly equipped to evaluate the sources of online content.
Re-envisioning the “Seat-Time” Algorithm in Education
Blog Post by Esther Wojcicki mediaX Distinguished Visiting Scholar For more than two decades, groups like George Lucas Foundation, the Buck Institute and Hewlett Foundation have been promoting and supporting project-based learning in schools nationwide. Many schools and teachers have adopted it, at least in part of their programs. The evidence that it helps students […]
Re-envisioning the “Seat-Time” Algorithm in Education
October 22, 2019
This panel panel features Esther Wojcicki, Larry Rosenstock and Shelley Goldman who will explore organizational change in the educational context, with a particular focus on adapting definitions of in-school learning to benefit student empowerment.
Algorithms and Analytics: Connecting the Learner and the Learning
October 23, 2019
Join us October 23, 2019 in CERAS #101 from 8:30am to 4:45pm as experts and members in the mediaX community explore the frontiers of learning algorithms and analytics that connect learners with learning including; Measuring what Matters in Learning, Designing Learning Experiences and Algorithms for Conversation and Developing Metatags for Open Exchange.
mediaX Thought Leaders Develops New Algorithm with More Realistic Sound Effects in VR
Professor Doug James uses a new algorithm with faster tools to seamlessly sync sound and action in a simulated 3D setting.
mediaX Thought Leaders Want More Video Games for Science and Learning
Rhiju Das and Ingmar Riedel-Kruse feel games have been enhancing time-consuming biomedical research while allowing players to experience real-world science, which is often otherwise hidden behind laboratory doors.