The Open Learning Initiative: Accelerated Learning Through Adaptive, Data-Driven Instructional Design

Name:The Open Learning Initiative: Accelerated Learning Through Adaptive, Data-Driven Instructional Design

Time & Date: Monday, October 25, 2010 2:00PM – 4:00PM

Location: Irving K. Barber Learning Centre, Lillooet Room (3rd Floor), 1961 East Mall


The Open Learning Initiative at Carnegie Mellon University focuses on providing freely available, standalone course offerings in a range of discipline areas. These courses are developed in a team-based approach, bringing together faculty content experts, cognitive scientists, learning scientists, human-computer interaction specialists, formative assessment specialists, and programmers.

A hallmark of the courses is that learners are provided carefully constructed feedback based on scientific design and scientific methodologies. This talk will present an overview of the Initiative, and then focus in on the approach taken through the lens of the OLI-Statistics course.

Dr. Lovett will discuss how she has been collaborating with OLI to model the knowledge components that students learn as they work through the OLI-Statistics course. Developing and validating such models serves two purposes:

1) helps educators to better understand and foster students’ learning;
2) supports the design and development of tools that provide instructors with an up-to-the-moment analysis of their students’ learning progress.

One of these tools, the Learning Dashboard, will be presented along with results from a series of studies showing accelerated learning in OLI-Statistics when instructors use the Learning Dashboard.

We invite you to join us as we discuss ways that faculty can leverage the resources and approaches of the OLI and investigate how UBC educators might collaborate with them on this innovative work.

About the Speakers:

Joel M. Smith is the Vice Provost and Chief Information Officer of Carnegie Mellon University and directs the Office of Technology for Education. Dr. Smith has been involved in technology enhanced learning projects since 1990. He is currently the principle investigator in charge of the Open Learning Initiative, a project at Carnegie Mellon, funded by the William and Flora Hewlett Foundation, to develop demonstrably effective online courses through the application of design principles and practices from cognitive science. Dr. Smith holds a Ph.D. from the History and Philosophy of Science Department at the University of Pittsburgh and a M.S. and B.S. degrees in physics from Baylor University. He has held various academic appointments at Carnegie Mellon, the University of California at San Diego, Indiana University, The Claremont Graduate University, and Allegheny College.

Marsha C. Lovett is the Associate Director for faculty development at the Eberly Center for Teaching Excellence and Associate Teaching Professor in the Department of Psychology at Carnegie Mellon University. At the Eberly Center, Marsha Lovett applies theoretical and empirical principles from cognitive psychology to help instructors improve their teaching. She has studied how people learn using various research methodologies and across several domains. She has published more than thirty research articles on learning and instruction, is co-editor of the book Thinking with Data, and co-author of the book How Learning Works: Seven Research-Based Principles for Smart Teaching.

This is a FREE event open to UBC staff, students and faculty.

Please register for the session by Clicking Here