Challenges, Opportunities, and Trends in EdTech

In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb and I speak with Sharon Zhou, a PhD student in Computer Science at Stanford University. Sharon has been teaching very popular courses on GANs (generative adversarial networks) on Coursera. In this conversation we  examine the state of Education Technology (EdTech), learning platforms, and other tools for teaching online. A year into the global pandemic, we discuss advantages and disadvantages of various technologies for delivering classes, as well as broader issues in education.We also took the opportunity to discuss Sharon’s work on deep learning, including her work using GANs to help the general public and policy makers to better understand the implications of climate change.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Om Podcasten

A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].