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Shortly after the invention of the quantum computer chip, and the laying of fibre optic broadband to almost every house in the UK, it had been clear that the days of teaching as a profession were numbered. Teaching had been relegated to a minority profession in a matter of years. It had been simply a question of scale. A teacher, working for 45 years, could teach maybe 1,500 children. Some lessons would be better than others, some children would get more attention and do better than others, they'd occasionally need time off and so on. Simply put, human teachers were inconsistent, and not always great. So when the new educational bodies started recording the best lectures for every subject from around in the world, annotating them in 3D, and enhancing them with CG, what could the schools do to fight back?

Given his calm and reasoned academic demeanor, it is easy to miss just how provocative Erik Brynjolfsson's contention really is. ­Brynjolfsson, a professor at the MIT Sloan School of Management, and his collaborator and coauthor Andrew McAfee have been arguing for the last year and a half that impressive advances in computer technology-from improved industrial robotics to automated translation services-are largely behind the sluggish employment growth of the last 10 to 15 years. Even more ominous for workers, the MIT academics foresee dismal prospects for many types of jobs as these powerful new technologies are increasingly adopted not only in manufacturing, clerical, and retail work but in professions such as law, financial services, education, and medicine.

The letter lays out why, after several decades, Conti believed he had to call it quits. Conti points the blame at legislators who "failed us by selling children out to private industries such as Pearson Education," a testing company. He argued the New York State United Teachers union failed its members by not mounting an effective campaign against standardized testing, and said there's now a "pervasive atmosphere of distrust" preventing teachers from developing their own tests and quizzes.

"Who knows - maybe one day learning scientists will be as accurate at predicting learning as weathermen are at predicting the weather. While that may sound like a dig against both professions, I actually mean it simply as an acknowledgment of how incredibly complex and dynamic both phenomena are."

"Instead of being an unstoppable force disrupting the faculty profession, MOOCs can be an opportunity to empower faculty to explore, create, and express themselves in new ways through open and digital education. To do this requires establishing the proper institutional context, one that allows for experimentation and grassroots, faculty-led initiatives to flourish. We have argued in this article that a focus on soft infrastructure - the resources, values, and affirmations that support faculty agency in experimenting with digital learning - has helped us create this context at Stanford. Our research suggests that this approach has given faculty the opportunity and autonomy to manifest their desires to share intellectual work more broadly, experiment and take pedagogical risks, express their unique teaching philosophies in new ways, and thoughtfully engage in the MOOC phenomenon on their own terms. As a result, a great number and variety of open and digital learning approaches have flourished at our institution."

"The Copyright Advisory Network (CAN) exists to help librarians understand copyright law and appreciate the important role that they can play in serving the public "to advance the progress of science and the useful arts." We use the Network to respond to copyright questions posed by librarians, but perhaps-more importantly, help librarians learn about copyright from a broader perspective, primarily its impact on information policy issues fundamental to our profession, including free expression, equitable access to information, censorship, and intellectual freedom."