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Massive Open Online Courses Prove Popular, if Not Lucrative Yet. By Samantha Stark and Tamar Lewin Online Learning, en Masse: More top colleges are offering free massive open online courses, but companies and universities still need to figure out a way to monetize them.

Massive Open Online Courses Prove Popular, if Not Lucrative Yet

The co-founders, computer science professors at Stanford University, watched with amazement as enrollment passed two million last month, with 70,000 new students a week signing up for over 200 courses, including Human-Computer Interaction, Songwriting and Gamification, taught by faculty members at the company’s partners, 33 elite universities. In less than a year, Coursera has attracted $22 million in venture capital and has created so much buzz that some universities sound a bit defensive about not leaping onto the bandwagon. Other approaches to online courses are emerging as well. Universities nationwide are increasing their online offerings, hoping to attract students around the world. Online Education (MOOCs) Free Online Courses. Advance your College Education & Career.

Courses. Your Courses. Free Online Classes. 25 Best Sites for Free Educational Videos. RefSeek's guide to the 25 best online resources for finding free educational videos.

25 Best Sites for Free Educational Videos

With the exception of BrainPOP and Cosmeo, all listed sites offer their extensive video libraries for free and without registration. Academic Earth Thousands of video lectures from the world's top scholars. academicearth.org Big Think Video interviews with 600+ thought leaders in a range of fields. bigthink.com Brightstorm Short-form online video lessons by professional educators. Brightstorm.com CosmoLearning Aggregator of free, online video lessons and documentaries. cosmolearning.com Coursera Lectures taught by world-class professors and reinforced through interactive exercises. coursera.org EdX Courses designed specifically for interactive study via the web. edx.org Futures Channel High quality multimedia content ideal for use in the classroom. thefutureschannel.com Howcast Professional and user-generated how-to videos. www.howcast.com Internet Archive archive.org iTunes U Apple iTunes - Apple iTunes Software Khan Academy Hulu.

Market. Open Resources - Transforming the Way Knowledge Is Spread. Ms.

Open Resources - Transforming the Way Knowledge Is Spread

Mulder was speaking here at Open Education Week, an event held this month on campuses from the University of California, Irvine, and the Massachusetts Institute of Technology to the University of Cape Town, Leeds Metropolitan University, in England, and the National Science Library, in Beijing. At 47, Ms. Mulder can remember the days of typewriters and hardback textbooks. Yet as president of the Open Course Ware Consortium, a global group of universities devoted to expanding the amount of free, openly licensed educational material on the Internet, she is focused on the future.

For thousands of years, she said, anyone who wanted access to knowledge had to first find a teacher or an expert. That is also the goal of Whyopenedmatters.org, a competition begun this month by the U.S. Beginning in 2001, when M.I.T. announced that it was going to make some of its courses available online, the movement for O.E.R. has continued to grow. Khan Academy. UniShared - Connecting learners.

Entrepreneurship Corner: Stanford University's free podcasts and video clips of entrepreneurial thought leaders and innovators from Silicon Valley. Machine Learning. Machine learning is the science of getting computers to act without being explicitly programmed.

Machine Learning

In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.