PhD Student wins Best Paper award at 2019 ACM Learning at Scales conference
Hung Chau, PhD student in Information Science, along with Zachary Pardos and Haocheng Zhao of University of California – Berkeley, recently won the Best Paper award for their paper titled “Data-Assistive Course-to-Course Articulation Using Machine Translation.”
Read the paper’s abstract here.
About the Learning at Scales conference
L@S investigates large-scale, technology-mediated learning environments with many learners and few experts to guide them. These systems either depend upon large numbers of learners, or they are enriched through use of data from previous use by many learners. They share a common purpose–to increase human potential–and a common infrastructure of data and computation to enable learning at scale.