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The lesson of the research is that even little kids react to ambiguity in a systematic and specific fashion. Their mode of playing is really a form of learning, a way of figuring out how the world works. While kids in the unambiguous condition engaged in just as much play as kids in the ambiguous condition, their play was just play. It wasn’t designed to decipher the causal mechanisms of the toy.

According to the psychologists, the different reactions were caused by the act of instruction. When students are given explicit instructions, when they are told what they need to know, they become less likely to explore on their own. Curiosity is a fragile thing.

One might think that this kind of imaginative play is mildly interesting but essentially frivolous. Not so. Imagination of the kind that starts in childhood is the gateway not just to literature, as Keats discerned, but to adult thinking. In her experiment-based book on how imagination is necessary for creating mental models (including models of how the world might be but is not), Ruth Byrne (2005) has said that rational thought has turned out to be: “more imaginative than cognitive scientists ... supposed,” and that “imaginative thought is more rational than scientists imagined” (xi).

Early research results aren’t surprising: - Students are heavy users of computers, but not for education. - Teachers make limited use of computers and other technologies in class - Parents are limited computer users - Teacher training is lacking in utilizing computers effectively in classrooms

At the core of the discussion surrounding the future of education is a concern of how to navigate shifting power and control. What is the role of the student? The teacher? The school? The parents? If learners have the ability to do what educators have done in the past (access information directly), what role should the educator play?

Perhaps face-to-face time should take on a different model than we currently utilize. We should do what we can with technology outside of classrooms. Then we wouldn’t need to meet in classrooms as often.

You get no credit for asserting the existence of something we already know exists.

You must shape and focus that discussion or analysis so that it supports a claim that you discovered and formulated and that all of your discussion and explanation develops and supports.

In that sense, you might state the point of your paper as "Well, I want to show/prove/claim/argue/demonstrate (any of those words will serve to introduce the point) that "Though Falstaff seems to play the role of Hal's father, he is, in fact, acting more like a younger brother who . . . ."" If you include in your paper what appears after I want to prove that, then that's the point of your paper, its main claim that the rest of your paper supports.

Reading and writing gave me skills to create with and to act on the world... through assignments like these I was learning how to marshal evidence and frame an argument. And I was also becoming more adept at handling a sentence, folding information onto it, making a complex point without losing the reader. These skills played out again and again on different topics and in different settings, leading to the ability to write a research article, a memo advocating a course of action, a newspaper opinion piece, an essay like the present one... All of the forgoing helped me develop a sense of myself as knowledgeable and capable of using what I know. This is a lovely and powerful quality-- cognitive, emotional, and existential all in one. It has to do with identity and agency, with how we define ourselves, not only in matters academic but also in the way we interact with others and with institutions. It has to do with how we move through our economic and civic lives. Education gave me the competence and confidence to independently seek out information and make decisions, to advocate for myself and my parents and those I taught, to probe political issues, to resist simple answers to messy social problems, to assume that I could figure things out and act on what I learned. In a sense, this was the best training I could have gotten for vocation and citizenship.

Expecting students to write in our classrooms for hit-or-miss praise is criminal. Their nimble fingers can text an entire piece of writing via their mobile device to a relevant audience online at the same time they publish to a worldwide network. For them, the pay is in the joy of publication, in the act of making their work known, and of partaking of the work of others.

Take advantage of over 20 digital tools for students (Sidebar #2 - Digital Tools for Students).

You can easily transition from notes and highlights kept in Diigo.com social bookmarking tool to a written piece that appropriately cites content. Check Sidebar #3 for Electronic Citation Resources.

I have seen tweets and blog posts recently about frustration that teachers are having getting their students to collaborate. These were mainly secondary teachers and library media specialists. It was even an #EdChat topic a few weeks ago: "How do we engage students who find participatory learning uncomfortable?" What do you find most difficult when getting students to collaborate? Criticism from their peers? A bad experience with a previous teacher? It seems like there's so many factors that can come into play.

How are we fostering this skill beyond kindergarten? What have you found that really is motivating for students to collaborate? What gives them true ownership of their learning? There's awesome digital tools that aid in collaboration, but those tools don't MAKE the collaboration. It's a skill that still has to be fine tuned. It's a skill we should all be modeling effectively if we want our students to do it effectively. If you're looking for some great suggestions on how to foster collaboration in your classroom, I would suggest reading Michelle Bourgeois' post titled:  The Collaborative Classroom: It’s a Juggling Act. In this post Michelle tells a story of teaching students how to juggle and says. "Just like the art of juggling, there are several skills that need to be balanced and constantly monitored in a collaborative classroom to make it all come together." Please be sure to check out Michelle's post on how to monitor and keep balance of some essentials in classroom collaboration.

We should be fostering this skill in our classrooms, not hindering it. How often are you allowing students to collaborate? Not to say that awesome things can't come out of individual thinking, but as I always like to say, "We're better together." Sure, one mind can do awesome things, but a collective could really rock someone's world.

As new technologies take us through major transformations in the way we use documents, it becomes increasingly important to look beyond the conduit image. We need to see the way documents have served not simply to write, but also to underwrite social interactions; not simply to communicate, but also to coordinate social practices.

Printed documents, Anderson maintains, were essential to replacing the ideology of sovereigns and subjects by creating the idea of a self-constructed society built around shared ideals and shared practices.

Anderson calls the resulting community an "imagined" one. This is no slight. An imagined community is quite distinct from an imaginary community. It is one, Anderson notes, whose members "will never know most of their fellow members, meet them, or even hear of them, yet in the minds of each lives the image of their communion." Where an imaginary community does not exist, an imagined one exists on too large a scale to be known in any other way. And the central way they can be imagined is through the documents they share.

Two broad approaches exist for learning technology implementation: The adoption of a centralized learning management approach. This may include development of a central learning support lab where new courses are developed in a team-based approach—consisting of subject matter expert, graphic designers, instructional designer, and programmers. This model can be effective for creation of new courses and programs receiving large sources of funding. Most likely, however, enterprise-wide adoption (standardizing on a single LMS) requires individual departments and faculty members to move courses online by themselves. Support may be provided for learning how to use the LMS, but moving content online is largely the responsibility of faculty. This model works well for environments where faculty have a high degree of autonomy, though it does cause varying levels of quality in online courses. Personal learning environments (PLEs) are a recent trend addressing the limitations of an LMS. Instead of a centralized model of design and deployment, individual departments select from a collage of tools—each intending to serve a particular function in the learning process. Instead of limited functionality, with highly centralized control and sequential delivery of learning, a PLE provides a more contextually appropriate toolset. The greater adaptability to differing learning approaches and environments afforded by PLEs is offset by the challenge of reduced structure in management and implementation of learning. This can present a significant challenge when organizations value traditional lecture learning models.

Self-organised learning networks provide a base for the establishment of a form of education that goes beyond course and curriculum centric models, and envisions a learner-centred and learner controlled model of lifelong learning. In such learning contexts learners have the same possibilities to act that teachers and other staff members have in regular, less learner-centred educational approaches. In addition these networks are designed to operate without increasing the workload for learners or staff members.

Instead of learning housed in content management systems, learning is embedded in rich networks and conversational spaces. The onus, again, falls on the university to define its views of learning.

the more participants--and interactions between those participants--you add to a carefully designed and nurtured environment, the more the rate of performance improvement goes up.

we're seeing the emergence of a new kind of learning curve as we scale connectivity and learning through pull, rather than scaling efficiency through push. We call it the "collaboration curve."

The evidence for the collaboration curve is, as yet, mostly anecdotal.