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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.

All three require talented faculty members with scholarly training.  These things are (1) discovering and disseminating new knowledge, (2) preserving the discoveries of the past, and (3) personally mentoring students in ways that allow them to participate in (1) and (2).  Doing these things well takes special training.  It is inherently expensive, because the processes involved are hard to automate or even systematize very much. 

Harvard and BYU-Idaho involve their students in teaching one another.  They also have general education courses, created in the last five years, that cut across academic disciplines and engage students in applying principles and theories to real-world problems.  These instructional approaches challenge students to frame inquiries, rather than merely respond to questions posed by their professors.

Harvard and other elite institutions are in a paradoxical position.  Their students and alumni are satisfied with their current offerings; in fact, they have a huge surplus of qualified applicants.

We’re likely to significant change in the next decade, the net effect of which will be more students served at a lower average cost.  However, the nature of the evolution will differ among institutions.  The elite schools will hybridize their courses not primarily to reduce cost or grow enrollments, but to better serve the rising generation of “digital natives” and to make the most of learning-enhancing computer-adaptive technology.  By contrast, schools without the benefit of high prestige and large endowments will hybridize and offer fully online courses mainly so that they can keep tuition affordable, admit more students, and use the incremental revenues to plug the hole left by rising operating costs and declining state support.  In all cases, students will benefit.

Most professors will need to spend the majority of their time teaching.  A school that generates the bulk of its revenues via tuition will be able to afford some time for faculty research.  However, that research will need to have relevance to the student learning experience, and it won’t be the driving factor in tenure decisions; teaching quality will be.  Tenure based primarily on publications isn’t a sustainable model for most institutions.