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Michael Johnson

Apprehending the Future: Emerging Technologies, from Science Fiction to Campus Reality... - 5 views

  • environmental scan
  • The environmental scan method offers several advantages, starting with the fact that drawing on multiple sources and perspectives can reduce the chances of bias or sample error. The wider the scan, the better will be the chance of hitting the first trace of items that, although small at the moment, could expand into prominence. A further advantage is pedagogical: trying to keep track of a diverse set of domains requires a wide range of intellectual competencies. As new technologies emerge, more learning is required in subfields or entire disciplines, such as nanotechnology or digital copyright policy.
  • Disadvantages of this method start from its strengths: environmental scanning requires a great deal of sifting, searching, and analyzing. Finding the proverbial needle in the haystack isn't useful if its significance can't be recognized. Furthermore, the large amount of work necessary for both scanning and analyzing can be daunting, especially for smaller schools or enterprises.
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  • That complexity demands non-simple responses. Each of the techniques sketched above offers one way of helping groups to think through these emergent forces and to apprehend the future. Crowdsourcing, scenarios, prediction markets, the Delphi method, and environmental scanning are complementary strategies. Using several of these methods can teach us to learn about the future in more sophisticated, pro-active ways. If the methods appear strange, resembling science fiction, perhaps that is a sign of their aptness for the future, since the future often appears strange just before it becomes ordinary—or, in our case, just before it becomes a campus reality. As higher education budgets clamp down and the future hurtles toward us, we need these methods and techniques as allies that can help us to survive . . . and to learn.
  • Crowdsourcing, scenarios, prediction markets, the Delphi method, and environmental scanning are complementary strategies. Using several of these methods can teach us to learn about the future in more sophisticated, pro-active ways. If the methods appear strange, resembling science fiction, perhaps that is a sign of their aptness for the future, since the future often appears strange just before it becomes ordinary—or, in our case, just before it becomes a campus reality. As higher education budgets clamp down and the future hurtles toward us, we need these methods and techniques as allies that can help us to survive . . . and to learn.
  • to apprehend the future. Crowdsourcing, sce
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    Alexander discusses methods for keeping up with the future of technology and its use in higher education.
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Education Week Teacher: High-Tech Teaching in a Low-Tech Classroom - 20 views

  • How can we best use limited resources to support learning and familiarize students with technology?
  • get creative with lesson structure
  • Take advantage of any time that your students have access to a computer lab with multiple computers.
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  • Relieve yourself from the pressure of knowing all the ins and outs of every tool. Instead, empower your students by challenging them to become experts who teach one another (and you!) how to use new programs.
  • "Pass it On" Buddy Method
  • Students assist one another in creating digital products that represent or reflect their new learning. It’s a great way to spread technological skills in a one-computer classroom.
  • Group Consensus Method
  • Small groups of students engage in dialogue on a particular topic, then a member uses a digital tool to report on the group's consensus.
  • Rotating Scribe Method
  • Each day, one student uses technology to record the lesson for other students.
  • Whole Class Method
  • Teachers in one-computer classrooms often invite large groups of students to gather around the computer. Here are a few suggestions for making the most of these activities
  • When we are faced with limited resources, it is tempting to throw up our hands and say, "I just don't have what I need to do this!" However, do not underestimate your ability to make it work.
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    Might help create a blended classroom, even when you have to share the blender.  Common sense advise for the real world of underequipped classrooms and stretched thin teachers.
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Top 10 CAT Math Questions That Can Appear - 0 views

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A Periodic Table of Visualization Methods - 1 views

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Google Presentation for Collaborative Learning - Getting Smart by Susan Oxnevad - 0 views

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    The Google Docs Presentation is well-suited for use as a starting point to help teachers begin to break the barriers of traditional methods of tech integration and design student driven learning experiences that require students to construct knowledge as they create, an idea supported by the Common Core State Standards (CCSS)
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24 Multimedia Tools That Support The Common Core - Edudemic - 0 views

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Teaching in Social and Technological Networks « Connectivism - 17 views

  • The model falls apart when we distribute content and extend the activities of the teacher to include multiple educator inputs and peer-driven learning.
  • Skype brings anyone, from anywhere, into a classroom. Students are not confined to interacting with only the ideas of a researcher or theorist. Instead, a student can interact directly with researchers through Twitter, blogs, Facebook, and listservs. The largely unitary voice of the traditional teacher is fragmented by the limitless conversation opportunities available in networks. When learners have control of the tools of conversation, they also control the conversations in which they choose to engage. 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.
  • Traditional courses provide a coherent view of a subject. This view is shaped by “learning outcomes” (or objectives). These outcomes drive the selection of content and the design of learning activities. Ideally, outcomes and content/curriculum/instruction are then aligned with the assessment. It’s all very logical: we teach what we say we are going to teach, and then we assess what we said we would teach. This cozy comfortable world of outcomes-instruction-assessment alignment exists only in education. In all other areas of life, ambiguity, uncertainty, and unkowns reign. 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
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  • I’ve come to view teaching as a critical and needed activity in the chaotic and ambiguous information climate created by networks.
  • In networks, teachers are one node among many. Learners will, however, likely be somewhat selective of which nodes they follow and listen to. 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. The network of information is shaped by the actions of the teacher in drawing attention to signals (content elements) that are particularly important in a given subject area.
  • While “curator” carries the stigma of dusty museums, the metaphor is appropriate for teaching and learning. 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.
  • 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.
  • 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.
  • 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
  • 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.” (As far as I can tell, he first made the statement during OCC in 2007).
  • Modelling has its roots in apprenticeship. Learning is a multi-faceted process, involving cognitive, social, and emotional dimensions. Knowledge is similarly multi-faceted, involving declarative, procedural, and academic dimensions. It is unreasonable to expect a class environment to capture the richness of these dimensions. 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. As a course progresses, the teacher provides summary comments, synthesizes discussions, provides critical perspectives, and directs learners to resources they may not have encountered before.
  • 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.
  • Teaching and learning in social and technological networks is similarly surprising – it’s hard to imagine that many of the tools we’re using are less than a decade old (the methods of learning in networks are not new, however. People have always learned in social networks).
  • We’re still early in many of these trends. Many questions remain unanswered about privacy, ethics in networks, and assessment.
  • We’re still early in many of these trends. Many questions remain unanswered about privacy, ethics in networks, and assessment.
  • The tools for controlling both content and conversation have shifted from the educator to the learner. We require a system that acknowledges this reality.
  • 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.
  • 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.
  • 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.
  •  
    Discusses the role of teachers in the learning  process through social networks: He gives seven roles 1. Amplifying, 2. Curating, 3. Wayfinding and socially-driven sensemaking, 4. Aggregating, 5. Filtering, 6. Modelling, 7. Persistent presence. He ends with this provocative thought: "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."
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