Title

Keynote: Scaling Up Quality Education

Streaming Media

Abstract

Only a small fraction of students have access to the high quality learning experiences afforded by our nation’s top liberal arts colleges. This talk will overview and critique some recent developments and trends in scaling up access to such experiences, nationwide and worldwide. Specific topics to be discussed include open educational resources, massive open online courses, and machine learning algorithms for learning analytics and personalized learning. Beyond access, such initiatives have the potential to reduce some of the costs of high-quality educational experiences at liberal arts colleges.

Richard Baraniuk is the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice University and Founding Director of Connexions (cnx.org) and OpenStax (openstax.org). In addition to his “day job” in signal processing, he was a founder of the modern “open education” movement, which aims to share knowledge and teaching materials freely online. Baraniuk launched Connexions in 1999. One of the first initiatives to offer free, open-source textbooks via the Web, the Rice-based initiative grew to become OpenStax CNX, a massive online repository that today is used each month by millions of learners and teachers in 190 countries. For his education projects, he has received the Eta Kappa Nu C. Holmes MacDonald National Outstanding Teaching Award, the Tech Museum Laureate Award, the Internet Pioneer Award from the Berkman Center for Internet and Society at Harvard Law School, the World Technology Network Education Award, the IEEE Signal Processing Society Education Award, and the IEEE James H. Mulligan, Jr. Education Medal. For his research projects in signal processing and machine learning, he has received young investigator awards from the US National Science Foundation and the Office of Naval Research, the Rosenbaum Fellowship from the Isaac Newton Institute of Cambridge University, the Wavelet Pioneer Award and the Compressive Sampling Pioneer Award from SPIE, and the IEEE Signal Processing Society Technical Achievement Award. He is a Fellow of IEEE and AAAS.

Session

Keynote Address

Location

Thomas Great Hall

Event Website

http://web.ece.rice.edu/richb/

Start Date

5-20-2015 9:00 AM

End Date

5-20-2015 10:15 AM

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May 20th, 9:00 AM May 20th, 10:15 AM

Keynote: Scaling Up Quality Education

Thomas Great Hall

Only a small fraction of students have access to the high quality learning experiences afforded by our nation’s top liberal arts colleges. This talk will overview and critique some recent developments and trends in scaling up access to such experiences, nationwide and worldwide. Specific topics to be discussed include open educational resources, massive open online courses, and machine learning algorithms for learning analytics and personalized learning. Beyond access, such initiatives have the potential to reduce some of the costs of high-quality educational experiences at liberal arts colleges.

Richard Baraniuk is the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice University and Founding Director of Connexions (cnx.org) and OpenStax (openstax.org). In addition to his “day job” in signal processing, he was a founder of the modern “open education” movement, which aims to share knowledge and teaching materials freely online. Baraniuk launched Connexions in 1999. One of the first initiatives to offer free, open-source textbooks via the Web, the Rice-based initiative grew to become OpenStax CNX, a massive online repository that today is used each month by millions of learners and teachers in 190 countries. For his education projects, he has received the Eta Kappa Nu C. Holmes MacDonald National Outstanding Teaching Award, the Tech Museum Laureate Award, the Internet Pioneer Award from the Berkman Center for Internet and Society at Harvard Law School, the World Technology Network Education Award, the IEEE Signal Processing Society Education Award, and the IEEE James H. Mulligan, Jr. Education Medal. For his research projects in signal processing and machine learning, he has received young investigator awards from the US National Science Foundation and the Office of Naval Research, the Rosenbaum Fellowship from the Isaac Newton Institute of Cambridge University, the Wavelet Pioneer Award and the Compressive Sampling Pioneer Award from SPIE, and the IEEE Signal Processing Society Technical Achievement Award. He is a Fellow of IEEE and AAAS.

http://repository.brynmawr.edu/blended_learning/2015/2015/1