GVU Center Brown Bag Seminar Series: Ashok Goel and David Joyner

How can we incorporate findings from learning sciences into online learning? How do teaching and learning experiences in online learning compare with a similar in-person course? How can we use an online course to conduct new research into learning science and technology? To examine these questions, we developed an online version of CS7637: Knowledge-Based Artificial Intelligence, and delivered it as part of the Georgia Tech OMS in CS program in Fall 2014. We deliberately attempted to incorporate several recognized pedagogical strategies, including problem-based learning, learning by example, learning by doing, learning by reflection, collaborative learning, and immersion in a community of practice. We also taught the regular in-person CS 7637 course in parallel for comparison. In addition, we have partnered with several learning scientists across Georgia Tech to conduct research on online learning. In this talk, we will describe the design, development and delivery of the OMS CS7637 course. We will compare the teaching and learning experiences in the online course with the parallel in-person course, report on student performance and feedback within both courses, briefly describe the research projects spawned by these experiences, and share our initial reflections on putting online learning and learning sciences together.

Ashok Goel is a Professor in the School of Interactive Computing. He directs the Design & Intelligence Laboratory and the Ph.D. program in Human-Centered Computing. He conducts research into artificial intelligence and cognitive science with a focus on computational design and creativity.
David Joyner is a Ph.D. candidate in Human-Centered Computing and a Course Developer with Udacity. His research focuses on using artificial intelligence to deliver scalable individualized educational experiences.