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We need to rethink how we learn and deal with the tacit knowledge.

Dusty wanted to put Maui on the surfing map. Dusty found four peers in the same age group and decided to build a scheme of collaboration - the likes of which the world has never seen. Dusty was the first junior champion ever in Maui and came up with a new genre - aerial surfing

Here are some things they did in their learning community:They are willing to keep failing because they knew they could learn from failure.They collectively analysed each frame of videos of the best surfers across the world.The used video camera to capture and analyse their own moves. They deconstruct their own technique by watching each frame of their work on the beach.They pulled ideas from various sports - windsurfing, skateboarding, mountain biking, motorcross, etc. The cool stuff is they've taken ideas from different domains and applied them to their own domain. They've understood the idea of 'spikes', where they've travelled to the expertise hotspots for surfing across the world to learn their trade. Now they're a bit of a spike in themselves.

This is an example of deep collaborative learning with each other. They are people that are passionate about a trade and they chase extreme performance with a deep questing disposition. They learn themselves from the things that others are doing around them. They have a commitment to indwelling -- they soak up the world around them.

The second story JSB has is about WOW - The World of Warcraft. It's a massively multi-player online role-playing game (MMORPG). There's a reason we need to care. This is the first domain where we've discovered a place where we don't have diminishing returns, we have exponentially increasing returns. The sense of joint collective activity is pretty awesome as one of the TWU students pointed as well. The core of the game is really more the social life on the edge of the game. The edge is often called a knowledge economy. WOW is way too complicated to play without complex analysis tools and dashboards, but these dashboards are tailored to each player to measure their own performance and are a key to their mastery at the game. This is quite curious -- don't managers develop dashboards to look at their people? This is obviously a game changing way to self-reflect. The cool thing that goes is after action reviews -- this is very in tune with the Agile Retrospectives idea. This is an example of blending the tacit and the cognitive. This is collective indwelling and reflection. While they marinate and learn in a social context, they also reflect together when they're done, so they can learn from each other. This is the way grandmasters learn -- they practice with peers and then reflect on what they did. This is the way hackers practice their trade.

There's an incredibly rich knowledge economy around this game. On a typical night there are about 10-15000 new ideas coming up about the game. There are blizzard forums, databases, blogs, wikis, videos and what not. The way people absorb all of this is that guilds (player teams) self-organise into being a knowledge refining community to work together, curate content and then collectively learn amongst themselves. This is the idea of a personal learning network (PLN) IMO.

I've seen that the introduction of new technology can provide a reason to rethink a course from the ground up and reassess its core educational goals. Often the greatest educational benefits seem to come from this process, not just the technology that encouraged it.

It might be safe to say that each time a new medium appears, no matter how different it is from the last, the normal reaction of first adopters is to use it as a new package for existing content.

I've seen that the introduction of new technology can provide a reason to rethink a course from the ground up and reassess its core educational goals.

It can be easy to forget that we human beings are more than brains connected to an apparatus that moves us around in space. Instead, we belong to communities, we live in neighborhoods, we have local culture and events. Inquiry into these real things led to many of the fields we now call science, literature, mathematics, and history. Why then do we isolate instruction in those fields to a classroom, instead of deriving instruction from the environment from which these subjects originated?

place-based learning.2 One such example, Dow Day, is a mobile documentary that relives the student protests of 1967 in Madison, Wisconsin, against the Dow Chemical Company. In this activity, location-aware handheld devices add an augmented layer of history to a walk through the campus, placing the student in the role of a news reporter. By monitoring the device's GPS, Dow Day creates the illusion of additional characters standing in physical space and facilitates simulated conversations with these historical entities. In addition, when players walk to predefined media locations, they trigger video footage showing the physical scene from 40 years ago, effectively superimposing the marchers and police onto the current landscape (see Figure 2).

Situated theories of cognition claim that knowing and doing are inherently linked.4

One such example is a mobile game called Mentira, produced at the University of New Mexico. The game is designed to teach an introductory college Spanish course in ways that are contextually sound for language learning. In the first unit, students play a mystery game on handheld devices in class, taking on a role and a goal within a story told completely in Spanish. In the second part, the class moves outside to a local Spanish-speaking neighborhood where they continue the story while interacting with physical and virtual Spanish speakers in real places (see Figure 3).

With Mentira, students learn Spanish outside the classroom through narrative and interaction with members of a Spanish-speaking neighborhood, re-situating language in practice.

Identifying the disconnect, a small team from the Animal Science and the Academic Technology departments at UW–Madison are working on a prototype for hobbyist birdwatchers. WeBIRD aims to crowdsource ornithology research by providing a tool for hobbyist practitioners. A birder will record the audio of a bird heard out in the field and have the system identify the species while logging the sighting's location, current weather, time of day, and date to a central database. This data can then be used for anything from formal research of migration patterns over time to individual questions such as, "Where am I most likely to see a cardinal this time of year?" The potential for location-aware, casual gaming structures such as birder achievement badges and leader boards are also being investigated in order to provide additional social play motives for participation.

Learning happens anywhere someone has questions and the means to explore answers. As ubiquitous access to information continues to shift toward personal mobile devices, more and more of the learning that takes place may be happening outside of the classroom and in the context of a backyard conversation, a walk through campus, or a Taquería in New Mexico.

A real revelation for us, however, has been to use Diigo for internal staff communication. I've set up a News group for people to share any useful careers-related articles they come across. We also have various Jobs/Scholarships groups to share relevant graduate vacancies we find. The RSS feeds from these then post to Twitter and our own Jobs and Further Study pages. Saves a lot of time entering the details into our own database and gets the information to our students and graduates quicker. Hopefully! It also keeps staff abreast with up-to-date jobs information. Diigo is great!

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

How can we achieve learning targets when the educator is no longer able to control the actions of learners?

I’ve come to view teaching as a critical and needed activity in the chaotic and ambiguous information climate created by networks. In the future, however, the role of the teacher, the educator, will be dramatically different from the current norm. Views of teaching, of learner roles, of literacies, of expertise, of control, and of pedagogy are knotted together. Untying one requires untying the entire model.

Most likely, a teacher will be one of the more prominent nodes in a learner’s network. Thoughts, ideas, or messages that the teacher amplifies will generally have a greater probability of being seen by course participants.

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.

The curator, in a learning context, arranges key elements of a subject in such a manner that learners will “bump into” them throughout the course. Instead of explicitly stating “you must know this”, the curator includes critical course concepts in her dialogue with learners, her comments on blog posts, her in-class discussions, and in her personal reflections. As learners grow their own networks of understanding, frequent encounters with conceptual artifacts shared by the teacher will begin to resonate.

When I first started learning about the internet (pre-web days), I felt like I had stepped into a alternate realm with its own norms of behaviour and conduct. Bulletin boards and chat rooms presented a challenging mix of navigating social protocols while developing technical skills. By engaging with these conversation spaces – and forming a few tentative connections with others – I was able to find a precarious foothold in the online medium.

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.

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.

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.

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.

Filtering can be done in explicit ways – such as selecting readings around course topics – or in less obvious ways – such as writing summary blog posts around topics. 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.

During CCK08/09, one of Stephen’s statements that resonated with many learners centers on modelling as a teaching practice: “To teach is to model and to demonstrate. To learn is to practice and to reflect.”

Apprenticeship learning models are among the most effective in attending to the full breadth of learning. Apprenticeship is concerned with more than cognition and knowledge (to know about) – it also addresses the process of becoming a carpenter, plumber, or physician.

Without an online identity, you can’t connect with others – to know and be known. I don’t think I’m overstating the importance of have a presence in order to participate in networks. To teach well in networks – to weave a narrative of coherence with learners – requires a point of presence.

In CCK08/09, we used The Daily, the connectivism blog, elearnspace, OLDaily, Twitter, Facebook, Ning, Second Life, and numerous other tools to connect with learners. Persistent presence in the learning network is needed for the teacher to amplify, curate, aggregate, and filter content and to model critical thinking and cognitive attributes that reflect the needs of a discipline.

We’re

We’re still early in many of these trends. Many questions remain unanswered about privacy, ethics in networks, and assessment. My view is that change in education needs to be systemic and substantial. Education is concerned with content and conversations. The tools for controlling both content and conversation have shifted from the educator to the learner. We require a system that acknowledges this reality.

Aggregation had so much potential. And yet has delivered relatively little over the last decade.

Perhaps we need to spend more time in information abundant environments before we turn to aggregation as a means of making sense of the landscape.

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.

Effective instructional practice leads to increased language development and cultural understanding and meets the needs of all students in the language classroom. Integrating technology innovations into instruction is vital to a 21st century learning environment. Various program models and curriculum designs are featured in this category from elementary program dual language, immersion, and FLES, to higher education programs that focus on advanced language proficiency.

If you are a presenter as well as the person submitting the proposal, you must still list yourself as a presenter. As the submitter your name will be included as the “session organizer”, but you must also add your name as a presenter. This is very important otherwise your name will not show as being a presenter on the submission and your proposal may not be considered. Be sure that your presenter information is current – email address, affiliation (school/company), address, etc – in the database.