can one annotate on electronic books
Top Ed-Tech Trends of 2012: MOOCs - 0 views
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trend education mooc academichack MOOCs bwct actfl13 for:gaugler for:lrosen
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The 10 Biggest Trends In Online Education Right Now | Edudemic - 0 views
5 Higher Ed Tech Trends for 2012 -- Campus Technology - 0 views
Six Digital Trends To Watch by Steve Rubel and David Armano - 0 views
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there is still a certain hierarchy that needs to be in place or else personal interest will become conflated with the interests of grading (we are still vested with a certain institutional authority, whether or not this is a pedagogical approach)
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Hopefully, as these approaches become more common and institutionalized, it there will be more opportunities to receive support from colleagues and other educators in their implementation.
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Online materials are not necessarily peer reviewed, and those which are protected by copyright end up with inflated prices. I am not sure what the answer to this problem might be, but it is something that I would like to examine further in class.
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The learners will label, name and design… 2. The learners will paraphrase, explain and illustrate… 3. The learners will demonstrate, prepare and solve… 4. The learners will differentiate, analyze and infer… 5. The learners will devise, revise and integrate… 6. The learners will evaluate, critique and compare…
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both assume a business model of competition and profit. Education needs to maintain its sovereignty from what is really a form of hegemony.
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But that the existence of such technology necessitates a total rethinking of the whole process seems like a power grab by a pervasive form of administration that stems from the business world. It is ridiculous that to be able simply to sit with a book in one’s lap and not be compelled to maintain permanent connectivity has become an act of resistance.
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And I didn’t really want to hear the opinions of the other students who didn’t know anything more than I did. Or rather, it was nice to have discussions about the professor’s lecture, but without the lecture, there wouldn’t have been anything to discuss. We would have a book club, not a class.
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By de-emphasizing content and knowledge, we’re turning students into middlemen who will know how to use technology to present a given subject matter, but who will be free to forget it as soon as the next task arrives on their desk.
Top 20 Trends in Enterprise Education - Elearning! Magazine BLOG - 0 views
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The Future of Education is Here » Blog Archive » Place-based Education - 0 views
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2010 Horizon Report » Key Trends - 0 views
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sense-making and the ability to assess the credibility of information are paramount. Mentoring and preparing students for the world in which they will live, the central role of the university when it achieved its modern form in the 14th century, is again at the forefront.
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The work of students is increasingly seen as collaborative by nature, and there is more cross-campus collaboration between departments.
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Over the past few years, the emergence of a raft of new (and often free) tools has made collaboration easier than at any other point in history.
American Education in 2030 | Hoover Institution - 0 views
Google's Eric Schmidt on What the Web Will Look Like in 5 Years - 1 views
2009 Distance Education Survey Results Trends in eLearning: Tracking the Impact of eLea... - 0 views
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Online education evolves as advances in technology make major impact - 0 views
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In just the last few years, the emergence of multi-functional mobile phones and tablets have untethered the Internet from desktop computers, allowing online learning to take place anywhere with an Internet or cellular connection.
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"What the iPad does is give you a much more portable canvas . . . you can already see the trend of portable learning and learning on demand, so that's huge," Singer said. "These new devices are going to speed it up."
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I'm So Totally, Digitally Close to You - Clive Thompson - NYTimes.com - 0 views
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unless you visited each friend’s page every day, it might be days or weeks before you noticed the news, or you might miss it entirely.
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He developed something he called News Feed, a built-in service that would actively broadcast changes in a user’s page to every one of his or her friends.
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Instead, they would just log into Facebook, and News Feed would appear: a single page that — like a social gazette from the 18th century — delivered a long list of up-to-the-minute gossip about their friends, around the clock, all in one place. “A stream of everything that’s going on in their lives,” as Zuckerberg put it.
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When students woke up that September morning and saw News Feed, the first reaction, generally, was one of panic.
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Zuckerberg, surprised by the outcry, quickly made two decisions. The first was to add a privacy feature to News Feed, letting users decide what kind of information went out. But the second decision was to leave News Feed otherwise intact. He suspected that once people tried it and got over their shock, they’d like it.He was right. Within days, the tide reversed.
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he bits of trivia that News Feed delivered gave them more things to talk about — Why do you hate Kiefer Sutherland? — when they met friends face to face in class or at a party. Trends spread more quickly. When one student joined a group — proclaiming her love of Coldplay or a desire to volunteer for Greenpeace — all her friends instantly knew, and many would sign up themselves. Users’ worries about their privacy seemed to vanish within days, boiled away by their excitement at being so much more connected to their friends.
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Web 2.0: A New Wave of Innovation for Teaching and Learning? (EDUCAUSE Review) | EDUCAU... - 0 views
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Web 2.0. It is about no single new development. Moreover, the term is often applied to a heterogeneous mix of relatively familiar and also very emergent technologies
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Ultimately, the label “Web 2.0” is far less important than the concepts, projects, and practices included in its scope.
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Social software has emerged as a major component of the Web 2.0 movement. The idea dates as far back as the 1960s and JCR Licklider’s thoughts on using networked computing to connect people in order to boost their knowledge and their ability to learn. The Internet technologies of the subsequent generation have been profoundly social, as listservs, Usenet groups, discussion software, groupware, and Web-based communities have linked people around the world.
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It is true that blogs are Web pages, but their reverse-chronological structure implies a different rhetorical purpose than a Web page, which has no inherent timeliness. That altered rhetoric helped shape a different audience, the blogging public, with its emergent social practices of blogrolling, extensive hyperlinking, and discussion threads attached not to pages but to content chunks within them. Reading and searching this world is significantly different from searching the entire Web world. Still, social software does not indicate a sharp break with the old but, rather, the gradual emergence of a new type of practice.
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Rather than following the notion of the Web as book, they are predicated on microcontent. Blogs are about posts, not pages. Wikis are streams of conversation, revision, amendment, and truncation. Podcasts are shuttled between Web sites, RSS feeds, and diverse players. These content blocks can be saved, summarized, addressed, copied, quoted, and built into new projects. Browsers respond to this boom in microcontent with bookmarklets in toolbars, letting users fling something from one page into a Web service that yields up another page. AJAX-style pages feed content bits into pages without reloading them, like the frames of old but without such blatant seams. They combine the widely used, open XML standard with Java functions.3 Google Maps is a popular example of this, smoothly drawing directional information and satellite imagery down into a browser.
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Web 2.0 builds on this original microcontent drive, with users developing Web content, often collaboratively and often open to the world.
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Drawing on the “wisdom of crowds” argument, Web 2.0 services respond more deeply to users than Web 1.0 services. A leading form of this is a controversial new form of metadata, the folksonomy.
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Third, people tend to tag socially. That is, they learn from other taggers and respond to other, published groups of tags, or “tagsets.”
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Social bookmarking is one of the signature Web 2.0 categories, one that did not exist a few years ago and that is now represented by dozens of projects.
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RawSugar (http://www.rawsugar.com/) and several others expand user personalization. They can present a user’s picture, some background about the person, a feed of their interests, and so on, creating a broader base for bookmark publishing and sharing. This may extend the appeal of the practice to those who find the focus of del.icio.us too narrow. In this way too, a Web 2.0 project learns from others—here, blogs and social networking tools.
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How can social bookmarking play a role in higher education? Pedagogical applications stem from their affordance of collaborative information discovery.
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First, they act as an “outboard memory,” a location to store links that might be lost to time, scattered across different browser bookmark settings, or distributed in e-mails, printouts, and Web links. Second, finding people with related interests can magnify one’s work by learning from others or by leading to new collaborations. Third, the practice of user-created tagging can offer new perspectives on one’s research, as clusters of tags reveal patterns (or absences) not immediately visible by examining one of several URLs. Fourth, the ability to create multi-authored bookmark pages can be useful for team projects, as each member can upload resources discovered, no matter their location or timing. Tagging can then surface individual perspectives within the collective. Fifth, following a bookmark site gives insights into the owner’s (or owners’) research, which could play well in a classroom setting as an instructor tracks students’ progress. Students, in turn, can learn from their professor’s discoveries.
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After e-mail lists, discussion forums, groupware, documents edited and exchanged between individuals, and blogs, perhaps the writing application most thoroughly grounded in social interaction is the wiki. Wiki pages allow users to quickly edit their content from within the browser window.11 They originally hit the Web in the late 1990s (another sign that Web 2.0 is emergent and historical, not a brand-new thing)
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How do social writing platforms intersect with the world of higher education? They appear to be logistically useful tools for a variety of campus needs, from student group learning to faculty department work to staff collaborations. Pedagogically, one can imagine writing exercises based on these tools, building on the established body of collaborative composition practice. These services offer an alternative platform for peer editing, supporting the now-traditional elements of computer-mediated writing—asynchronous writing, groupwork for distributed members
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Blogging has become, in many ways, the signature item of social software, being a form of digital writing that has grown rapidly into an influential force in many venues, both on- and off-line. One reason for the popularity of blogs is the way they embody the read/write Web notion. Readers can push back on a blog post by commenting on it. These comments are then addressable, forming new microcontent. Web services have grown up around blog comments, most recently in the form of aggregation tools, such as coComment (http://www.cocomment.com/). CoComment lets users keep track of their comments across myriad sites, via a tiny bookmarklet and a single Web page.
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Technorati (http://technorati.com/) and IceRocket (http://icerocket.com/) head in the opposite direction of these sites, searching for who (usually a blogger) has recently linked to a specific item or site. Technorati is perhaps the most famous blog-search tool. Among other functions, it has emphasized tagging as part of search and discovery, recommending (and rewarding) users who add tags to their blog posts. Bloggers can register their site for free with Technorati; their posts will then be searchable by content and supplemental tags.
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Many of these services allow users to save their searches as RSS feeds to be returned to and examined in an RSS reader, such as Bloglines (http://www.bloglines.com/) or NetNewsWire (http://ranchero.com/netnewswire/). This subtle ability is neatly recursive in Web 2.0 terms, since it lets users create microcontent (RSS search terms) about microcontent (blog posts). Being merely text strings, such search feeds are shareable in all sorts of ways, so one can imagine collaborative research projects based on growing swarms of these feeds—social bookmarking plus social search.
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Students can search the blogosphere for political commentary, current cultural items, public developments in science, business news, and so on.
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The ability to save and share a search, and in the case of PubSub, to literally search the future, lets students and faculty follow a search over time, perhaps across a span of weeks in a semester. As the live content changes, tools like Waypath’s topic stream, BlogPulse’s trend visualizations, or DayPop’s word generator let a student analyze how a story, topic, idea, or discussion changes over time. Furthermore, the social nature of these tools means that collaboration between classes, departments, campuses, or regions is easily supported. One could imagine faculty and students across the United States following, for example, the career of an Islamic feminist or the outcome of a genomic patent and discussing the issue through these and other Web 2.0 tools. Such a collaboration could, in turn, be discovered, followed, and perhaps joined by students and faculty around the world. Extending the image, one can imagine such a social research object becoming a learning object or an alternative to courseware.
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A closer look at an individual Blogdex result reveals the blogs that link to a story. As we saw with del.icio.us, this publication of interest allows the user to follow up on commentary, to see why those links are there, and to learn about those doing the linking. Once again, this is a service that connects people through shared interest in information.
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The rich search possibilities opened up by these tools can further enhance the pedagogy of current events. A political science class could explore different views of a news story through traditional media using Google News, then from the world of blogs via Memeorandum. A history class could use Blogdex in an exercise in thinking about worldviews. There are also possibilities for a campus information environment. What would a student newspaper look like, for example, with a section based on the Digg approach or the OhmyNews structure? Thematizing these tools as objects for academic scrutiny, the operation and success of such projects is worthy of study in numerous disciplines, from communication to media studies, sociology to computer science.
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At the same time, many services are hosted externally to academia. They are the creations of enthusiasts or business enterprises and do not necessarily embrace the culture of higher education.
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Lawrence Lessig, J. D. Lasica, and others remind us that as tools get easier to use and practices become more widespread, it also becomes easier for average citizens to commit copyright violations.19
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Web 2.0’s lowered barrier to entry may influence a variety of cultural forms with powerful implications for education, from storytelling to classroom teaching to individual learning. It is much simpler to set up a del.icio.us tag for a topic one wants to pursue or to spin off a blog or blog departmental topic than it is to physically meet co-learners and experts in a classroom or even to track down a professor. Starting a wiki-level text entry is far easier than beginning an article or book.
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How can higher education respond, when it offers a complex, contradictory mix of openness and restriction, public engagement and cloistering?
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Planning for Neomillennial Learning Styles: Implications for Investments in Technology ... - 0 views
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Research indicates that each of these media, when designed for education, fosters particular types of interactions that enable—and undercut—various learning styles.
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But what is so special about the egocentric perspectives and situated learning now enabled by emerging media? After all, each of us lives with an egocentric perspective in the real world and has many opportunities for situated learning without using technology. One attribute that makes mediated immersion different and powerful is the ability to access information resources and psychosocial community distributed across distance and time, broadening and deepening experience. A second important attribute is the ability to create interactions and activities in mediated experience not possible in the real world, such as teleporting within a virtual environment, enabling a distant person to see a real-time image of your local environment, or interacting with a (simulated) chemical spill in a busy public setting. Both of these attributes are actualized in the Alice-in-Wonderland interface.
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This immersion in virtual environments and augmented realities shapes participants' learning styles beyond what using sophisticated computers and telecommunications has fostered thus far, with multiple implications for higher education.
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Beyond actional and symbolic immersion, advances in interface technology are now creating virtual environments and augmented realities that induce a psychological sense of sensory and physical immersion.
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The research on virtual reality Salzman and I conducted on frames of reference found that the exocentric and the egocentric FORs have different strengths for learning. Our studies established that learning ideally involves a "bicentric" perspective alternating between egocentric and exocentric FORs.
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The familiar "world to the desktop." Provides access to distant experts and archives and enables collaborations, mentoring relationships, and virtual communities of practice. This interface is evolving through initiatives such as Internet2. "Alice in Wonderland" multiuser virtual environments (MUVEs). Participants' avatars (self-created digital characters) interact with computer-based agents and digital artifacts in virtual contexts. The initial stages of studies on shared virtual environments are characterized by advances in Internet games and work in virtual reality. Ubiquitous computing. Mobile wireless devices infuse virtual resources as we move through the real world. The early stages of "augmented reality" interfaces are characterized by research on the role of "smart objects" and "intelligent contexts" in learning and doing.
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Notion of place is layered/blended/multiple; mobility and nomadicity prevalent among dispersed, fragmented, fluctuating habitats (for example, coffeehouses near campus)
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he defining quality of a learning community is that there is a culture of learning, in which everyone is involved in a collective effort of understanding. There are four characteristics that such a culture must have: (1) diversity of expertise among its members, who are valued for their contributions and given support to develop, (2) a shared objective of continually advancing the collective knowledge and skills, (3) an emphasis on learning how to learn, and (4) mechanisms for sharing what is learned. If a learning community is presented with a problem, then the learning community can bring its collective knowledge to bear on the problem. It is not necessary that each member assimilate everything that the community knows, but each should know who within the community has relevant expertise to address any problem. This is a radical departure from the traditional view of schooling, with its emphasis on individual knowledge and performance, and the expectation that students will acquire the same body of knowledge at the same time.26
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Peer-developed and peer-rated forms of assessment complement faculty grading, which is often based on individual accomplishment in a team performance context Assessments provide formative feedback on instructional effectiveness
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Multipurpose habitats—creating layered/blended/personalizable places rather than specialized locations (such as computer labs)
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o the extent that some of these ideas about neomillennial learning styles are accurate, campuses that make strategic investments in physical plant, technical infrastructure, and professional development along the dimensions suggested will gain a considerable competitive advantage in both recruiting top students and teaching them effectively.
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Net Generation learning styles stem primarily from the world-to-the-desktop interface; however, the growing prevalence of interfaces to virtual environments and augmented realities is beginning to foster so-called neomillennial learning styles in users of all ages.
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Immersion is the subjective impression that one is participating in a comprehensive, realistic experience.
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Inducing a participant's symbolic immersion involves triggering powerful semantic associations via the content of an experience.
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The capability of computer interfaces to foster psychological immersion enables technology-intensive educational experiences that draw on a powerful pedagogy: situated learning.
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The major schools of thought cited are behaviorist theories of learning (presentational instruction), cognitivist theories of learning (tutoring and guided learning by doing), and situated theories of learning (mentoring and apprenticeships in communities of practice).
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Situated learning requires authentic contexts, activities, and assessment coupled with guidance from expert modeling, mentoring, and "legitimate peripheral participation."8 As an example of legitimate peripheral participation, graduate students work within the laboratories of expert researchers, who model the practice of scholarship. These students interact with experts in research as well as with other members of the research team who understand the complex processes of scholarship to varying degrees. While in these laboratories, students gradually move from novice researchers to more advanced roles, with the skills and expectations for them evolving.
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Potentially quite powerful, situated learning is much less used for instruction than behaviorist or cognitivist approaches. This is largely because creating tacit, relatively unstructured learning in complex real-world settings is difficult.
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However, virtual environments and ubiquitous computing can draw on the power of situated learning by creating immersive, extended experiences with problems and contexts similar to the real world.9 In particular, MUVEs and real-world settings augmented with virtual information provide the capability to create problem-solving communities in which participants can gain knowledge and skills through interacting with other participants who have varied levels of skills, enabling legitimate peripheral participation driven by intrinsic sociocultural forces.
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Situated learning is important in part because of the crucial issue of transfer. Transfer is defined as the application of knowledge learned in one situation to another situation and is demonstrated if instruction on a learning task leads to improved performance on a transfer task, typically a skilled performance in a real-world setting
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Moreover, the evolution of an individual's or group's identity is an important type of learning for which simulated experiences situated in virtual environments or augmented realities are well suited. Reflecting on and refining an individual identity is often a significant issue for higher education students of all ages, and learning to evolve group and organizational identity is a crucial skill in enabling innovation and in adapting to shifting contexts.
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Immersion is important in this process of identity exploration because virtual identity is unfettered by physical attributes such as gender, race, and disabilities.
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Thanks to out-of-game trading of in-game items, Norrath, the virtual setting of the MMOG EverQuest, is the seventy-seventh largest economy in the real world, with a GNP per capita between that of Russia and Bulgaria. One platinum piece, the unit of currency in Norrath, trades on real world exchange markets higher than both the Yen and the Lira (Castronova, 2001).14
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Multiple teams of students can access the MUVE simultaneously, each individual manipulating an avatar which is "sent back in time" to this virtual environment. Students must collaborate to share the data each team collects. Beyond textual conversation, students can project to each other "snapshots" of their current individual point of view (when someone has discovered an item of general interest) and also can "teleport" to join anyone on their team for joint investigation. Each time a team reenters the world, several months of time have passed in River City, so learners can track the dynamic evolution of local problems.
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In our research on this educational MUVE based on situated learning, we are studying usability, student motivation, student learning, and classroom implementation issues. The results thus far are promising: All learners are highly motivated, including students typically unengaged in classroom settings. All students build fluency in distributed modes of communication and expression and value using multiple media because each empowers different types of communication, activities, experiences, and expressions. Even typically low-performing students can master complex inquiry skills and sophisticated content. Shifts in the pedagogy within the MUVE alter the pattern of student performance.
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Research shows that many participants value this functionality and choose to access the Web page after leaving the museum.
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Participants in these distributed simulations use location-aware handheld computers (with GPS technology), allowing users to physically move throughout a real-world location while collecting place-dependent simulated field data, interviewing virtual characters, and collaboratively investigating simulated scenarios.
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Initial research on Environmental Detectives and other AR-based educational simulations demonstrates that this type of immersive, situated learning can effectively engage students in critical thinking about authentic scenarios.
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Students were most effective in learning and problem-solving when they collectively sought, sieved, and synthesized experiences rather than individually locating and absorbing information from some single best source.
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Rheingold's forecasts draw on lifestyles seen at present among young people who are high-end users of new media
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Rather than having core identities defined through a primarily local set of roles and relationships, people would express varied aspects of their multifaceted identities through alternate extended experiences in distributed virtual environments and augmented realities.
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one-third of U.S. households now have broadband access to the Internet. In the past three years, 14 million U.S. families have linked their computers with wireless home networks. Some 55 percent of Americans now carry cell phones
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Mitchell's forecasts25 are similar to Rheingold's in many respects. He too envisions largely tribal lifestyles distributed across dispersed, fragmented, fluctuating habitats: electronic nomads wandering among virtual campfires. People's senses and physical agency are extended outward and into the intangible, at considerable cost to individual privacy. Individual identity is continuously reformed via an ever-shifting series of networking with others and with tools. People express themselves through nonlinear, associational webs of representations rather than linear "stories" and co-design services rather than selecting a precustomized variant from a menu of possibilities.
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More and more, though, people of all ages will have lifestyles involving frequent immersion in both virtual and augmented reality. How might distributed, immersive media be designed specifically for education, and what neomillennial learning styles might they induce?
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Mediated immersion creates distributed learning communities, which have different strengths and limits than location-bound learning communities confined to classroom settings and centered on the teacher and archival materials.27
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Emphasis is placed on implications for strategic investments in physical plant, technology infrastructure, and professional development.
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These ideas are admittedly speculative rather than based on detailed evidence and are presented to stimulate reaction and dialogue about these trends.
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f we accept much of the analysis above
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students of all ages with increasingly neomillennial learning styles will be drawn to colleges and universities that have these capabilities. Four implications for investments in professional development also are apparent. Faculty will increasingly need capabilities in:
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Some of these shifts are controversial for many faculty; all involve "unlearning" almost unconscious beliefs, assumptions, and values about the nature of teaching, learning, and the academy. Professional development that requires unlearning necessitates high levels of emotional/social support in addition to mastering the intellectual/technical dimensions involved. The ideal form for this type of professional development is distributed learning communities so that the learning process is consistent with the knowledge and culture to be acquired. In other words, faculty must themselves experience mediated immersion and develop neomillennial learning styles to continue teaching effectively as the nature of students alters.
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Differences among individuals are greater than dissimilarities between groups, so students in any age cohort will present a mixture of neomillennial, millennial, and traditional learning styles
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The technologies discussed are emerging rather than mature, so their final form and influences on users are not fully understood. A substantial number of faculty and administrators will likely dismiss and resist some of the ideas and recommendations presented here.
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Convenience, Communications, and Control: How Students Use Technology | Resources | EDU... - 0 views
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Doing is more important than knowing, and learning is accomplished through trial and error as opposed to a logical and rule-based approach.2 Similarly, Paul Hagner found that these students not only possess the skills necessary to use these new communication forms, but there is an ever increasing expectation on their part that these new communication paths be used
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Much of the work to date, while interesting and compelling, is intuitive and largely based on qualitative data and observation.
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There is an inexorable trend among college students to universal ownership, mobility, and access to technology.
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Students were asked about the applications they used on their electronic devices. They reported that they use technology first for educational purposes, followed by communication.
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presentation software was driven primarily by the requirements of the students' major and the curriculum.
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From student interviews, a picture emerged of student technology use driven by the demands of the major and the classes that students take. Seniors reported spending more time overall on a computer than do freshmen, and they reported greater use of a computer at a place of employment. Seniors spent more hours on the computer each week in support of their educational activities and also more time on more advanced applications—spreadsheets, presentations, and graphics.
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Confirming what parents suspect, students with the lowest grade point averages (GPAs) spend significantly more time playing computer games; students with the highest GPAs spend more hours weekly using the computer in support of classroom activities. At the University of Minnesota, Crookston, students spent the most hours on the computer in support of classroom activities. This likely reflects the deliberate design of the curriculum to use a laptop extensively. In summary, the curriculum's technology requirements are major motivators for students to learn to use specialized software.
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The interviews indicated that students are skilled with basic office suite applications but tend to know just enough technology functionality to accomplish their work; they have less in-depth application knowledge or problem solving skills.
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According to McEuen, student technology skills can be likened to writing skills: Students come to college knowing how to write, but they are not developed writers. The analogy holds true for information technology, and McEuen suggested that colleges and universities approach information technology in the same way they approach writing.6
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The comparative literature on student IT skill self-assessment suggests that students overrate their skills; freshmen overrate their skills more than seniors, and men overrate their skills more than women.7 Our data supports these conclusions. Judy Doherty, director of the Student Technologies Resource Group at Colgate University, remarked on student skill assessment, "Students state in their job applications that they are good if not very good, but when tested their skills are average to poor, and they need a lot of training."8
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Mary Jane Smetanka of the Minneapolis–St. Paul Star Tribune reported that some students are so conditioned by punch-a-button problem solving on computers that they approach problems with a scattershot impulsiveness instead of methodically working them through. In turn, this leads to problem-solving difficulties.
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We expected to find that the Net Generation student prefers classes that use technology. What we found instead is a bell curve with a preference for a moderate use of technology in the classroom (see Figure 1).
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It is not surprising that if technology is used well by the instructor, students will come to appreciate its benefits.
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A student's major was also an important predictor of preferences for technology in the classroom (see Table 3), with engineering students having the highest preference for technology in the classroom (67.8 percent), followed by business students (64.3 percent).
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he highest scores were given to improved communications, followed by factors related to the management of classroom activities. Lower impact activities had to do with comprehension of classroom materials (complex concepts).
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The instructors' use of technology in my classes has increased my interest in the subject matter. 3.25 Classes that use information technology are more likely to focus on real-world tasks and examples.
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Interestingly, students do not feel that use of information technology in classes greatly increases the amount of time engaged with course activities (3.22 mean).12 This is in direct contrast to faculty perceptions reported in an earlier study, where 65 percent of faculty reported they perceived that students spend more time engaged with course materials
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Only 12.7 percent said the most valuable benefit was improved learning; 3.7 percent perceived no benefit whatsoever. Note that students could only select one response, so more than 12.7 percent may have felt learning was improved, but it was not ranked highest. These findings compare favorably with a study done by Douglas Havelka at the University of Miami in Oxford, Ohio, who identified the top six benefits of the current implementation of IT as improving work efficiency, affecting the way people behave, improving communications, making life more convenient, saving time, and improving learning ability.14
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Our data suggest that we are at best at the cusp of technologies being employed to improve learning.
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The interactive features least used by faculty were the features that students indicated contributed the most to their learning.
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he students in this study called our attention to performance by noting an uneven diffusion of innovation using this technology. This may be due, in part, to faculty or student skill. It may also be due to a lack of institutional recognition of innovation, especially as the successful use of course management systems affects or does not affect faculty tenure, promotion, and merit decisions
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we found that many of the students most skilled in the use of technology had mixed feelings about technology in the classroom.
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What we found was that many necessary skills had to be learned at the college or university and that the motivation for doing so was very much tied to the requirements of the curriculum. Similarly, the students in our survey had not gained the necessary skills to use technology in support of academic work outside the classroom. We found a significant need for further training in the use of information technology in support of learning and problem-solving skills.
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Course management systems were used most by both faculty and students for communication of information and administrative activities and much less in support of learning.
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In 1997, Michael Hooker proclaimed, "higher education is on the brink of a revolution." Hooker went on to note that two of the greatest challenges our institutions face are those of "harnessing the power of digital technology and responding to the information revolution."18 Hooker and many others, however, did not anticipate the likelihood that higher education's learning revolution would be a journey of a thousand miles rather than a discrete event. Indeed, a study of learning's last great revolution—the invention of moveable type—reveals, too, a revolution conducted over centuries leading to the emergence of a publishing industry, intellectual property rights law, the augmentation of customized lectures with textbooks, and so forth.
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Both the ECAR study on faculty use of course management systems and this study of student experiences with information technology concluded that, while information technology is indeed making important inroads into classroom and learning activities, to date the effects are largely in the convenience of postsecondary teaching and learning and do not yet constitute a "learning revolution." This should not surprise us. The invention of moveable type enhanced, nearly immediately, access to published information and reduced the time needed to produce new publications. This invention did not itself change literacy levels, teaching styles, learning styles, or other key markers of a learning revolution. These changes, while catalyzed by the new technology, depended on slower social changes to institutions. I believe that is what we are witnessing in higher education today.
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The institutions chosen represent a nonrepresentative mix of the different types of higher education institution in the United States, in terms of Carnegie class as well as location, source of funding, and levels of technology emphasis. Note, however, that we consider our findings to be instructive rather than conclusive of student experiences at different types of Carnegie institutions.
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Qualitative data were collected by means of focus groups and individual interviews. We interviewed undergraduate students, administrators, and individuals identified as experts in the field of student technology use in the classroom. Student focus groups and interviews of administrators were conducted at six of the thirteen schools participating in the study.
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Teaching in Social and Technological Networks « Connectivism - 0 views
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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.
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Traditional courses provide a coherent view of a subject. This view is shaped by “learning outcomes” (or objectives).
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This cozy comfortable world of outcomes-instruction-assessment alignment exists only in education. In all other areas of life, ambiguity, uncertainty, and unkowns reign.
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However, in order for education to work within the larger structure of integrated societal systems, clear outcomes are still needed.
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How can we achieve learning targets when the educator is no longer able to control the actions of learners?
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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 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.”
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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.
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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.
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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.
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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.
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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.
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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.