Tuesday 12pm, 27 October 2015
Learnersourcing: Improving Learning with Collective Learner Activity
Visiting Assistant Professor of Computer Science and Brown Fellow - Stanford University
Millions of learners today are watching videos on online platforms, such as Khan Academy, YouTube, Coursera, and edX, to take courses and master new skills. But existing video interfaces are not designed to support learning, with limited interactivity and lack of information about learners' engagement and content. Making these improvements requires deep semantic information about video that even state-of-the-art AI techniques cannot fully extract. I take a data-driven approach to address this challenge, using large-scale learning interaction data to dynamically improve video content and interfaces. Specifically, my research introduces learnersourcing, a form of crowdsourcing in which learners collectively contribute novel content for future learners while engaging in a meaningful learning experience themselves. In this talk, I will present learnersourcing applications designed for massive open online course videos and how-to tutorial videos, where learners' collective activities (1) highlight points of confusion or importance in a video, (2) extract a solution structure from a tutorial, and (3) improve the navigation experience for future learners. I will then discuss how the idea of learnersourcing can generalize to broader educational and social contexts. My research demonstrates how learnersourcing can enable more interactive, collaborative, and data-driven learning.
Juho Kim is a Visiting Assistant Professor of Computer Science and a Brown Fellow at Stanford University. He will be an Assistant Professor in the School of Computing at KAIST starting fall 2016. His research interests lie in human-computer interaction, learning at scale, video interfaces, and crowdsourcing. He builds interactive systems powered by large-scale data from users, in which users’ natural and incentivized activities dynamically improve content, interaction, and experience. He earned his Ph.D. from MIT, M.S. from Stanford University, and B.S. from Seoul National University. He is a recipient of six paper awards from CHI and HCOMP, and the Samsung Fellowship.