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No one has created a better mechanism for discovery, memory, and mentoring than the one devised by innovative American academics in the late 19th and early 20th centuries.

Undergraduate students who prepare for face-to-face classes via online lectures, problem sets, and discussion boards can take Socratic discovery to levels like those of the best graduate business and law schools.

Online degrees are steadily getting better, and the cost of providing them is a small fraction of what traditional institutions spend per graduate. Faced with an either-or choice, many young college students will follow the lead of adult learners: They'll take the affordable online option over the socially preferable but financially inaccessible traditional college experience.

In addition to adopting online learning as what we call a sustaining innovation, avoiding disruption will require incumbent institutions to effectively change their DNA. Most will need to become more focused on undergraduate students, cutting back on graduate programs that serve relatively few students while consuming much faculty time and generating little of the prestige hoped for when they were created. Programmatic offerings need to be more focused: Some majors should be dropped, and many should be shortened, making it more feasible for students to complete a degree in four years. The number of departments and centers at most institutions needs strategic shrinking.

It's confusing at first, but it is also flowing.

Yes, we're a collective intelligence, which is exhilarating, but we're a toddler collective intelligence, stumbling around learning to walk and trying to figure out where we're going at the same time. A number of new skills are required in short order. Information and communication flow through multiple simultaneous channels. The enterprise is challenging - that's part of the exercise. Taking my direction from George Siemens' ideas about networked learning ("we emphasize that early course experiences tend to be overwhelming and chaotic") I assure co-learners early and often that we can relax, accept and even embrace the chaos, and regard our networked attempts to make sense of it as the scaffold for our co-learning. 

Instead of seeking to put every fact in its place in an existing well-ordered taxonomy, why not seek to learn together by asking questions about what puzzles us, then organizing our discussions and mining them for knowledge?

Sometimes, I get into predicaments and don't know how to quit a webtour or place people in breakout rooms. So I calmly start exploring possible solutions, talking about it as I try to recover. While doing so, I also talk about the importance of exploring close enough to the edge to fall over it frequently. I model tolerance for error, learning from error, pushing the envelope of tech. Indeed, I've found that the earlier I can break something and fix it in public, the better. We talk about what works and what doesn't, discard what doesn't suit our purposes, push a tool further if it helps us learn together. It requires regular doses of humility to abandon what seemed like a bright idea at the time.

The objective is a culture of conversation that troubleshoots practical skills, explores theoretical underpinnings, dissects social implications.

Our internal social bookmarks enable us to create a mini-collective-intelligence by gathering resources about our discussion topics, selecting or writing descriptive snippets, assigning tags. The emerging tag-cloud serves as an index to the resources.

Wiki-work is about collaborative authoring.

In the process of using these tools to try to make sense together, we co-construct our learning. The last week of the course is about re-examining our learning process, reiterating the most important things we've learned, and redesigning the parts of the process that didn't work so well.

role-playing games

enabling learners to “experience” historical events or places instead of reading off a page.

visual representations

of data

One recurring theme in the presentations was the need for “linked open data” — types of research data that are tagged and stored in such a way that they can integrate with other research.

If one researcher had architectural data about New York City, and another had demographic data about the city, and each were able to cross-reference the other’s data with her own, it would deepen the context and understanding for both.

With linked open data on the rise, the same could soon happen with research data

“Linked open data is a very technical infrastructure, but the result of that is information that’s shared widely for free. A lot of scholarly data over the last hundred years or so is locked up in expensive journals that the public could never afford to subscribe to.

That could be the key to winning back support for the humanities

Action Research Groups: Active research done by communities of practice focused on improvement around a possibility or problem in a classroom, school, district, or province.

Community of Practice (CoP): A CoP is group of professionals with shared interests and challenges who make a commitment to improve or get better at something over time by sharing ideas, finding solutions, and creating innovations. This requires new dispositions and values such as resisting the urge to quit prematurely.

Book Study Groups: PLPeeps, often in cross cohort groups, come together to read and discuss a book collectively in an online space

Connected Coaching: individuals on teams are assigned a connected coach who  discusses and shares teaching practices as a means of promoting collegiality and support and to help educators think about how the new literacies inform current teaching practices.

Instructional Rounds:

Curriculum Review or Mapping Groups:

Critical Friends Groups (CFG):

Professional Learning Communities (PLC):

Personal Learning Network (PLN):

This summer, UC Berkeley is asking new students to submit a less controversial part of themselves: Their voices and accents

One result will be an analysis of California accents, as researchers try to get beyond such stereotypes as the Surfer Dude, Valley Girl and Central Valley Farmer to study participants' vowel sounds, along with their locations, ethnicity and socioeconomic backgrounds.

After two years and perhaps again after four, students will be asked to make new recordings to determine whether being at UC homogenized their accents or pushed them into distinctive speech subgroups, Johnson said. (For example, he said, because of his Oklahoma upbringing, he pronounced "Don" and "dawn" identically in one of the experiment's exercises.)

Among those embracing the project was Chloe Hunt, 18, a freshman from Santa Barbara who said the voice map made her even more curious to meet students from many cultural backgrounds. "It made me think about who I'm going to be sitting next to in class," said Hunt, who learned Farsi from Iranian relatives.

Leah Grant, 41, who is transferring to UC Berkeley from Long Beach City College, said listening to the voice samples made her feel like part of the university already. The varying approaches also were amusing, she said.