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A curator is an expert learner. Instead of dispensing knowledge, he creates spaces in which knowledge can be created, explored, and connected.

Learning is an eliminative process. By determining what doesn’t belong, a learner develops and focuses his understanding of a topic. The teacher assists in the process by providing one stream of filtered information. The student is then faced with making nuanced selections based on the multiple information streams he encounters. The singular filter of the teacher has morphed into numerous information streams, each filtered according to different perspectives and world views.

Course content is similarly fragmented. The textbook is now augmented with YouTube videos, online articles, simulations, Second Life builds, virtual museums, Diigo content trails, StumpleUpon reflections, and so on.

Fragmentation of content and conversation is about to disrupt this well-ordered view of learning. Educators and universities are beginning to realize that they no longer have the control they once (thought they) did.

However, in order for education to work within the larger structure of integrated societal systems, clear outcomes are still needed.

How can we achieve clear outcomes through distributed means? How can we achieve learning targets when the educator is no longer able to control the actions of learners?

Thoughts, ideas, or messages that the teacher amplifies will generally have a greater probability of being seen by course participants.

Each RT amplifies the message much like an electronic amplifier increases the amplitude of audio or video transmitters.

A curatorial teacher acknowledges the autonomy of learners, yet understands the frustration of exploring unknown territories without a map. A curator is an expert learner. Instead of dispensing knowledge, he creates spaces in which knowledge can be created, explored, and connected.

In CCK08/09, Stephen and I produced a daily newsletter where we highlighted discussions, concepts, and resources that we felt were important. As the course progressed, many students stated they found this to be a valuable resource -a centering point of sorts.

Today’s social web is no different – we find our way through active exploration. Designers can aid the wayfinding process through consistency of design and functionality across various tools, but ultimately, it is the responsibility of the individual to click/fail/recoup and continue.

Fortunately, the experience of wayfinding is now augmented by social systems. Social structures are filters. As a learner grows (and prunes) her personal networks, she also develops an effective means to filter abundance. The network becomes a cognitive agent in this instance – helping the learner to make sense of complex subject areas by relying not only on her own reading and resource exploration, but by permitting her social network to filter resources and draw attention to important topics. In order for these networks to work effectively, learners must be conscious of the need for diversity and should include nodes that offer critical or antagonistic perspectives on all topic areas. Sensemaking in complex environments is a social process.

After all, why should we do the heavy cognitive work when technology is uniquely suited to analyzing and generating patterns?

I’d like a learning system that functions along the lines of RescueTime – actively monitoring what I’m doing – but then offers suggestions of what I should (or could) be doing additionally. Or a system that is aware of my email exchanges over the last several years and can provide relevant information based on the development of my thinking and work. With the rise of social media, and with it the attention organizations pay to how their brand is being represented, monitoring services such as Viral Heat are promising. Imagine a course where the fragmented conversations and content are analyzed (monitored) through a similar service. Instead of creating a structure of the course in advance of the students starting (the current model), course structure emerges through numerous fragmented interactions. “Intelligence” is applied after the content and interactions start, not before. This is basically what Google did for the web – instead of fully defined and meta-described resources in a database, organized according to subject areas (i.e. Yahoo at the time), intelligence was applied at the point of search. Aggregation should do the same – reveal the content and conversation structure of the course as it unfolds, rather than defining it in advance.

Filtering resources is an important educator role, but as noted already, effective filtering can be done through a combination of wayfinding, social sensemaking, and aggregation. But expertise still matters. Educators often have years or decades of experience in a field. As such, they are familiar with many of the concepts, pitfalls, confusions, and distractions that learners are likely to encounter. As should be evident by now, the educator is an important agent in networked learning. Instead of being the sole or dominant filter of information, he now shares this task with other methods and individuals.

By determining what doesn’t belong, a learner develops and focuses his understanding of a topic. The teacher assists in the process by providing one stream of filtered information. The student is then faced with making nuanced selections based on the multiple information streams he encounters. The singular filter of the teacher has morphed into numerous information streams, each filtered according to different perspectives and world views.

Given that coherence and lucidity are key to understanding our world, how do educators teach in networks? For educators, control is being replaced with influence. Instead of controlling a classroom, a teacher now influences or shapes a network.

explore new pedagogy, technology

they are not open in the sense of being reusable and openly accessible

what might be interesting is the combination of MOOCs with local, face to face support.

we’re coming back to educator constructed courses.

realistic

think in the same ways as professionals

Technology-based cognitive tools

the creation of real products and artefacts, and are more worthy of the investment of time and effort in higher education than decontextualised exercises and tasks.

The creation of genuine sharable products ensures that authentic learning is in a position to capitalize on the participatory culture afforded by social media.

our model to guide your design: http://web.me.com/janherrington/AuthenticLearning/

The third effec

In this week, I’d like to explore how this abundance and the ‘connected, open and always on‘ world it has created influences what and how we learn and teach

, then we need to prepare them to leverage that abundance

Really big caveat: of course, all of this abundance talk is only relevant to us who are the privileged few, who do not need to worry about where we will sleep this evening, or how we will feed our children…

We see that we learn by being engaged in meaningful activity, and working with others.

I like Collins, Brown, & Holum’s Cognitive Apprenticeship as a model for thinking more richly about learning.  Other learning models are not static

I’m really arguing for the need to come up with a broader perspective on learning

I’m looking to start matching our technology more closely to our brains

meaningfulness, activation and reactivation, not separate but wrapped around our lives

I think this framework will need to start with considering the experience design, what is the flow of information and activity that will help develop the learner

I don’t need or want an LMS and I often don’t need a ‘teacher’ in the traditional sense, though I welcome the wisdom of coaches and mentors.

In self regulated learning, evaluation is a metacognitive event

. Much of what my students discussed is similar to my ideal. Briefly, here are some elements, organized under the four categories of appreciative inquiry: 1) Discovery-the best of what we have previously experienced: sense of accomplishment, respect, sharing ideas, supportive atmosphere to enable taking risks. 2) Dream-best of what might be: have real life application, synergy and energy, flexible and fun, open discussions, clear direction, ideas flying around, taking on complex ideas, confidentiality in that “what happens in Vegas, stays in Vegas”. After these discussions, we went on to 3) Design-what it might truly look like and 4) Delivery-what will we commit to, an individual ranking of items central to creating a best learning experience.

The majority of us cannot live on the farm or in the bush; but can we design learning experiences along a similar model where learners contribute something of value to the community?