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Tn T Horizons April 28 2008
 

Tn T Horizons April 28 2008

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90-minute presentation on the 2008 Horizon Report by NMC-ELI

90-minute presentation on the 2008 Horizon Report by NMC-ELI

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Tn T Horizons April 28 2008 Tn T Horizons April 28 2008 Presentation Transcript

  • Teaching and Technology Horizons Brett Christie Sonoma State University
  • Session Goals
    • Awareness of The Horizon Report
      • Annual Release
      • Research process
      • Collaborative dialog
      • Publication process
    • Scan of Trends and Metatrends
    • Scan of Horizon Technologies
    • Specific examples within each horizon
    • Discussion of relevance to teaching, learning and creative expression
  • About the Horizon Report
    • NMC - ELI Publication started in 2004
    • “ Charts the landscape of emerging technologies for teaching, learning and creative expression.”
    • All issues available as free pdf at nmc.org
  • Advisory Board Formed Year Prior
  • The Process: Research & Dialog
  • Research & Dialog
    • Advisory Board engaged in a comprehensive review and analysis of research, articles, papers, blogs, and interviews; discussed existing applications; and brainstormed new ones.
    • A key criterion was the potential relevance of the topics to teaching, learning, and creative expression .
  • Methodology
    • List established technologies that IHEs should all be using broadly to support or enhance teaching, learning, or creative expression?
    • What technologies that have a solid user base in consumer, entertainment, or other industries should IHEs pursue?
    • What are the key emerging technologies you see developing to the point that IHEs should begin to take notice during the next 3-5 yrs? What organizations or companies are the leaders in these technologies?
  • Methodology
    • What do you see as the key challenges related to teaching, learning, or creative expression that IHEs will face during the next 5 years?
    • What trends do you expect to have a significant impact on the ways in which IHEs approach our core missions of teaching, research, and service?
    • A list of 12 technologies resulted. 6 voted off.
  • Critical Challenges
    • Shifts in scholarship, research, creative expression and learning have created a need for innovation and leadership at all academy levels.
    • Growing expectation to deliver services and content to mobile/personal devices
    • Renewed emphasis on collaborative learning is pushing the educational community to develop new forms of interaction and assessment
    • Need to provide formal instruction in information, visual and technological literacies, as well as how to create meaningful content with today’s tools.
  • Significant Trends
    • Growing use of Web 2.0 and social networking— combined with collective intelligence and mass amateurization—is gradually but inexorably changing the practice of scholarship.
    • The way we work, collaborate and communicate is evolving as boundaries become more fluid and globalization increases.
    • Access to—and portability of—content increasing as smaller, more powerful devices are introduced.
    • Gap between students’ perception of technology and that of faculty continues to widen.
  •  
  • Spanning the Current Horizon ?
  • h 0-1 : Grassroots Video
    • Virtually any device that can access the Internet can play streamed video.
    • Large proportion of these can capture and publish video as well.
    • Seven-figure productions can now be done at a fraction of the time and cost.
    • Videos are much more easily distributed, rated, annotated, etc.
    • Hosting services handle encoding, infrastructure, searching and more. You focus on content only.
  • H0-1: Grassroots Video
  •  
  • Relevance to Teaching, Learning & Creative Expression
    • Two professors at UMN created and posted a 3D animation of Möbius transformations. (1.2 m views)
    • Students creating and sharing video projects that engage them more in terms of process and product.
    • Increased use in faculty development
    • “ Learning From YouTube” course at Pitzer
    • YouTube contest at Virginia Tech
  • h 0-1 : Collaboration Webs
    • Tools to support collaborative online work are easy to find and straightforward.
    • Any networked computer can serve as a multi-function videoconference room, a gateway to a gathering in a virtual world, or a joint workstation where people can author documents together.
    • Virtual collaboration has been made increasingly seamless by:
      • a host of developments in networking infrastructure,
      • social networking tools,
      • web applications
      • collaborative workspaces.
  • Collaboration Web Examples
    • Productivity/Sharing Tools
    • Zoho.com
    • Documents.google.com
    • SplashUp.com
    • JumpCut.com
    • Sketchcast.com
    • Slideshare.net
  • Collaboration Web Examples
    • Online Collaborative Workspaces
    • Where people can easily work, share resources, capture ideas and socialize.
    • Not just tools , but places/spaces.
      • Ning.com
      • PageFlakes.com (group portals)
      • NetVibes.com
        • Digital Entrepreneurship Community
      • Skoolaborate.com (blogs, wikis, LMS, etc)
      • “ 9 Ways to Build Your Own Social Network”
      • Del.icio.us
      • Bubbl.us
  • h 2-3 : Mobile Broadband
    • Billion new mobile devices manufactured per year (1:6)
    • Capacity rising fast, costs dropping
    • More complete interface/experience
    • Cellular or broadband
    • Increased scalability of content
  • h 2-3 : Mobile Broadband
    • PocketVirtualWorlds.com
      • i.e., virtual field trips
    • Zone Tag
      • Pix you take & upload are automatically uploaded and tagged with location
  • Mediascapes
    • Location-based experiences, games and tours on a handheld device.
    • “ A collection of media fragments associated with positions in space. You experience the media fragments as you walk around the space.”
    • What examples can you think of?
    • Virtual tours; PacManHattan; Guided walks/hikes; scavenger hunts
  • h 2-3 : Data Mash-Ups
    • Custom apps where combinations of data and sources are “ma shed up ” into a single tool.
    • O f fers new ways to look at and interact with datasets.
    • The availability of large amounts of data (search patterns, real estate sales, Flickr tags) is converging with development of open programming interfaces for social networking, mapping, and other tools.
    • This is opening doors to hundreds of data mashups that will transform the way we understand and represent information.
  • Mashup Examples
    • EPA Air Quality data
    • Bike Accidents/Fatalaties in Bay Area
    • Vacant lots in SF
    • WhoIsSick.org
    • Twitter.com
    • TwitterVision.com
    • FlickrMap
    • Freebase.com
  • h 4-5 : Collective Intelligence
    • The kind of knowledge and understanding that emerges from large groups of people is collective intelligence.
    • In coming years, we’ll see educational applications for both explicit collective intelligence (wikipedia; del.icio.us) an d implicit collective intelligence, or data gathered from the repeated activities of numbers of people:
      • search patterns, cell phone locations over time, geocoded digital photographs, and other data passively obtained.
    • Data mashups will tap into information generated by collective intelligence to expand our understanding of ourselves and our technologically-mediated world.
  • h 4-5 : Collective Intelligence
  • Related Examples
    • VisualThesaurus.com
    • Visuwords.com
  • h 4-5 : Social Operating Systems
    • The essential ingredient of next-generation social operating systems, is that they will base the organization of the network around people , rather than around content.
    • This simple conceptual shift promises profound implications for the academy, and for the ways in which we think about knowledge and learning.
    • SOS’s will support whole new categories of applications that weave through the implicit connections and clues we leave everywhere as we go about our lives, and use them to organize our work and our thinking around the people we know.
  • Social Operating Systems
    • Facebook and MySpace are attempts but remain somewhat superficial. They are unaware of connections that we have not yet told them about.
    • More needs to be learned about the “social graph”— the network of active relationships a person has via their emails, conference lists, tagged photos of you, blog posts made, authored papers, presentations, etc.
    • A more people-centric view that is populated by communications and patterns rather than you explicitly telling Facebook what you like/do.
  • Social Operating Systems
    • Xobni.com is an early example of a workflow app related to SOS.
      • Automatically creates a profile of all contacts
      • Automatically extracts info from emails
      • Relationship stats (To/From)
      • Rank of contacts (frequency)
      • Conversation threads
  • Social Operating Systems
  • Since the Report
    • Adding emotions to online video
      • Emoplayer
    • Holographic Video for Your Home
      • Human Productivity Lab
    • More Facebook apps
    • iPhone open to developers
    • Mogulus
    • Motion-sensing mobile phones
    • Speech-recognition (e.g., Goog 411 Vlingo)
    • Open Journaling (e.g., PKP)
  • “ 7 Things You Should Know About…”
    • Ning
    • Google Apps
    • Flickr
    • Lulu
    • Skype
    • Citizen Journalism
    • Data Visualization
    • Twitter
    • RSS
    • Creative Commons
    • Open Journaling
    • Google Earth
    • Mapping Mashups
    • Virtual Worlds
    • Screencasting
    • Virtual Meetings
    • Collaborative Editing
    • Augmented Reality
    • Blogs
    • Podcasting
    http://www.educause.edu/ELIResources/
  • Closing
    • Questions, Comments, Sharing
    • Contact
      • [email_address]
    • Presentation Available
      • Slideshare.net
        • Horizon_Report_April_2008