Discussion with Daniel Seaton
Join us on Monday, November 13 from 4:00 p.m. to 5:30 p.m. in the the Office of Academic Innovation space in the Hatcher Graduate Library (8th floor of Hatcher South) for a discussion with Daniel Seaton, Senior Research Scientist in the Office of the Vice Provost for Advances in Learning at Harvard University.
Discussions of the MOOC movement often do not mention the tremendous amount of content our institutions have created and how that content can be used in ways complementary to the MOOC movement. At Harvard, there has been a long standing desire to make digital-learning content — as well as non-MOOC educational resources — more easily utilized in Harvard residential courses. In this talk, I will describe a new system that catalogs digital-learning content and makes reuse available for instructors residentially. The project — DART (Digital Assets for Reuse in Teaching) — provides organizations
a means to index their content for broader discoverability by instructors and students. HarvardX — a catalog of over 40,000 videos, problems, and text pages — across more than 120 unique courses can now be directly imported from the edX platform to Canvas (Harvard’s residential LMS). I will offer parallels with the proposed framework for the Next Generation Digital Learning Environment (NGDLE) initiative and will highlight fruitful directions in analytics that DART enables for teaching and learning.
Bio: Dr. Daniel Seaton received his B.Sc. in Physics from Auburn University, and his Ph.D. in computational physics from the University of Georgia. While in graduate school, Daniel developed a passion for teaching and scholarship in education. This passion led him to a series of postdocs at MIT, the first in physics education research, and the second as researcher studying Massive Open Online Courses (MOOCs). His early work studying MITx and HarvardX MOOCs culminated in a series of working papers, and foundational results showing teachers make up a significant number of MOOC enrollees. After briefly working as a data analyst in MIT’s Office of Institutional Research, Daniel shifted to Davidson College to work on the Davidson Next project. His primary roles have involved developing interactive assessment applications within the edX platform, adapting tools to support high school teachers’ use of MOOC content in blended formats, and studying learning behavior using data captured by the edX platform.
Refreshments will be provided. Please RSVP below by November 7.