Title:
The MOOC revolution: Status and next steps 

Andrew Ng
Chairman and Co-Founder, Coursera 

Abstract: 

In 2011, Ng offered a free online course on machine learning to over 100,000
learners around the world.  This helped launch the modern Massive Open Online
Courses (MOOC) movement, and also led to the founding of Coursera, which
partners with top universities to offer online courses. 

MOOCs offer a real course experience to learners, including video lectures,
homeworks which are graded either automatically or by peers, and the
opportunity to interact with a global community of learners.  Learners which
complete a course can also earn credentials, which are increasingly accepted
by employers worldwide.  

In this talk, I'll report on the progress that the MOOC movement has made over
the past 3 years.  I will also describe some of the surprising lessons we have
learned from the our learning data.  Finally, I will describe emerging trends
relating to MOOC pedagogy, on-demand context and to credentials earned through
MOOCs.  



Bio:

Andrew Ng is Chairman and Co-founder of Coursera, Chief Scientist of Baidu,
and a Computer Science faculty member at Stanford.  In 2011, he led the
development of Stanford University's main MOOC (Massive Open Online Courses)
platform, and also taught an online Machine Learning class that was offered to
over 100,000 students, leading to the founding of Coursera.  Ng's goal is to
give everyone in the world access to a high quality education, for free.
Today, Coursera partners with top universities to offer high quality, free
online courses.  With over 100 partners, over 700 courses, and 9 million
learners, Coursera is the largest MOOC platform in the world.  Recent awards
include being named to the Time 100 list of the most influential people in the
world; to the CNN 10: Thinkers list; Fortune 40 under 40; and being named by
Business Insider as one of the top 10 professors across Stanford University.
Outside online education, Ng's research work is in machine learning, with an
emphasis on deep learning.


Picture (if needed): 
http://www.cs.stanford.edu/people/ang/media/AndrewNg-Headshot.png