Time: Tuesday, October 24th, 2017, 11:00 am-12:00 pm
Location: 4405 Siebel Center
Title: Designing an Interconnected Future of Learning and Work
Abstract: Learning and work are at a tipping point: more than 20 million learners have enrolled in Massive Open Online Classes, and freelancers are expected to comprise 40% of the US workforce by 2020. My research explores a future where a dramatically larger number of people engage in lifelong learning, and where learning and work are increasingly intertwined. My talk will describe software systems and associated pedagogy we have developed that is used by 100,000+ learners in MOOCs, as well as thousands of students in university classrooms. I will also present results from our recent work on combining computational mechanism design with peer assessment to help online freelance markets become more efficient and effectively support learning. Together, these results point to how leveraging peer processes at massive scale can address the societal challenge of interconnecting lifelong learning and work.
Biography: Chinmay Kulkarni is an Assistant Professor of Human Computer Interaction at Carnegie-Mellon, where he directs the Expertise@Scale lab. In his research, Chinmay introduces new collaborative computer systems that help people learn and work better; typically, these systems use the large scale of participation to yield benefits that are otherwise not achievable. In his idle time, Chinmay is either making coffee, drinking coffee, or clicking “View Source” on web pages he visits.