Group items tagged

Of course, whether it is using VR for the treatment of vertigo and PTSD, or drawing our attention to unconscious biases like racism, it is possible that VR does have the ability to change our perception of the world around us, that the knowledge we gain from this technology can be transformative. But Plato’s Cave presupposes that those freeing the prisoner from their chains to reveal the true nature of “reality” are altruistic in their intent—that the world being shown the freed prisoners is indeed the truth. It is an allegory that does not allow for the world as it is today, or the pervasive desire to escape it. The continued commercial failure of VR may represent an unconscious resistance to jettisoning our connection to the real. Maybe we are waiting for that blockbuster game to drive mass-market appeal. Perhaps the technology simply is not good enough yet to simulate a truly authentic—and profitable—experience. In this sense we are trapped. We crave authenticity of experience but, despite the efforts of philosophers, authors and auteurs, our imaginations appear limited to what we can individually consume and identify with. While capitalism lumbers on, we cannot see anything but the shadows on the wall.

These studies demonstrate some evidence for the existence of disciplinary differences in technology adoption, which suggests that there is not a homogeneous form of “scholarship” within academia.

Second, there is very little coverage of Web archiving, which is clearly by far the largest and most important digital preservation initiative both for current and future readers. The Internet Archive rates only two mentions, in the middle of a list of activities and in a footnote. This is despite the fact that archive.org is currently the 211th most visited site in the US (272nd globally) with over 5.5M registered users, adding over 500 per day, and serving nearly 4M unique IPs per day. For comparison, the Library of Congress currently ranks 1439th in the US (5441st globally). The Internet Archive's Web collection alone probably dwarfs all other digital preservation efforts combined both in size and in usage. Not to mention their vast collections of software, digitized books, audio, video and TV news.. Rieger writes: There is a lack of understanding about how archived websites are discovered, used, and referenced. “Researchers prefer to cite the original live-web as it is easier and shorter,” pointed out one of the experts. “There is limited awareness of the existence of web archives and lack of community consensus on how to treat them in scholarly work. The problems are not about technology any more, it is about usability, awareness, and scholarly practices.” The interviewee referred to a recent CRL study based on an analysis of referrals to archived content from papers that concluded that the citations were mainly to articles about web archiving projects. It is surprising that the report doesn't point out that the responsibility for educating scholars in the use of resources lies with the "experts and thought leaders" from institutions such as the University of California, Michigan State, Cornell, MIT, NYU and Virginia Tech. That these "experts and thought leaders" don't consider the Internet Archive to be a resource worth mentioning might have something to do with the fact that their scholars don't know that they should be using it. A report whose first major section, entitled "What's Working Well", totally fails to acknowledge the single most important digital preservation effort of the last two decades clearly lacks credibility

Finally, there is no acknowledgement that the most serious challenge facing the field is economic. Except for a few corner cases, we know how to do digital preservation, we just don't want to pay enough to have it done. Thus the key challenge is to achieve some mixture of significant increase in funding for, and significant cost reduction in the processes of, digital preservation. Information technology processes naturally have very strong economies of scale, which result in winner-take-all markets (as W. Brian Arthur pointed out in 1985). It is notable that the report doesn't mention the winners we already have, in Web and source code archiving, and in emulation. All are at the point where a competitor is unlikely to be viable. To be affordable, digital preservation needs to be done at scale. The report's orientation is very much "let a thousand flowers bloom", which in IT markets only happens at a very early stage. This is likely the result of talking only to people nurturing a small-scale flower, not to people who have already dominated their market niche. It is certainly a risk that each area will have a single point of failure, but trying to fight against the inherent economics of IT pretty much guarantees ineffectiveness.

1) The big successes in the field haven't come from consensus building around a roadmap, they have come from idiosyncratic individuals such as Brewster Kahle, Roberto di Cosmo and Jason Scott identifying a need and building a system to address it no matter what "the community" thinks. We have a couple of decades of experience showing that "the community" is incapable of coming to a coherent consensus that leads to action on a scale appropriate to the problem. In any case, describing road-mapping as "research" is a stretch. 2) Under severe funding pressure, almost all libraries have de-emphasized their custodial role of building collections in favor of responding to immediate client needs. Rieger writes: As one interviewee stated, library leaders have “shifted their attention from seeing preservation as a moral imperative to catering to the university’s immediate needs.” Regrettably, but inevitably given the economics of IT markets, this provides a market opportunity for outsourcing. Ithaka has exploited one such opportunity with Portico. This bullet does describe "research" in the sense of "market research".  Success is, however, much more likely to come from the success of an individual effort than from a consensus about what should be done among people who can't actually do it. 3) In the current climate, increased funding for libraries and archives simply isn't going to happen. These institutions have shown a marked reluctance to divert their shrinking funds from legacy to digital media. Thus the research topic with the greatest leverage in turning funds into preserved digital content is into increasing the cost-effectiveness of the tools, processes and infrastructure of digital preservation.

In my last year’s analysis of the MOOC space, I concluded that there’s been a decisive shift by MOOC providers to focus on “professional” learners who are taking these courses for career-related outcomes. At the recently concluded EMOOCs conference, the then CEO of Coursera, Rick Levin, shared his thoughts on this shift. He thinks that MOOCs may not have disrupted the education market, but they are disrupting the labor market. The real audience is not the traditional university student but what he calls the “lifelong career learner,” someone who might be well beyond their college years and takes these online courses with the goal of achieving professional and career growth.

One of the lessons I learned from running Class Central is that to make money, you need to make others money. By targeting professional learners, MOOC providers are trying to exactly do that. To better serve this audience, every MOOC provider has launched products that range from tens of dollars to tens of thousands of dollars. As a professional learner, I feel a certain amount of comfort knowing that high-quality educational material exists for skills that I would want to learn in the future. But if you are true lifelong learner—the ones that helped start all the hype in the first place—the MOOC experience has largely been reduced to basically a YouTube playlist with a cumbersome user interface. Unless, of course, you are willing to pay.

I’ve found students to be very insightful when it comes to understanding and assessing their own learning and very forgiving of my “mistakes.” Just about 100% of what I now do in the classroom has been “authorized” by student feedback, not given through end-of-semester evaluations, but collaborative discussion. Ask students if something worked, and they will tell you. The best part of moving the professorial pedestal out of the room is that all of us get to be a little less fearful, and little more brave.

Here are a few specific examples you can apply to your instructional design process to help learners with metacognition: Model the metacognitive process during instruction (or in one-on-one consultations) to ask and reflect on big picture questions such as: “What questions can you answer with this tool?” “What can you not do with this tool?” Keep in mind some answers may be simple (e.g., this tool can only work with data in this way, so it is excluded automatically). Also, “Did I get the results I expected? What could I have done differently?” Start with inquiry and build conversations based on the learner’s answers. “Is it the data that does not work? Or is the research question fundamentally wrong to begin with?” Collaborate with faculty to teach together, modelling your practices while demonstrating a specific tool. This could include thinking aloud as you make decisions so learners can self-correct assumptions. Also, be aware of your own expert bias so you can demonstrate how to clear obstacles. Ask learners to specifically define what is difficult for them during the process of instruction. Digital humanities tools are complex and are based on complex methodologies and research questions. By constructing opportunities for learners to self-question as they move from one task to another, they learn to self-assess their progress and adjust accordingly. There are several instructional design activities that promote metacognition: think-pair-share, one minute paper (“share a key concept learned” or “what comes next?”), and case studies.

There are specific strategies we can implement to help learners escape the recursive spiral of the liminal state they experience while managing complex digital projects: One of the most challenging aspects of teaching digital tools is forgetting what it is like to be a novice learner. Sometimes being a near-novice oneself helps you better prepare for the basic problems and frustrations learners are facing. But recognizing liminality is a reminder to you as a teacher that the learning process is not smooth, and it requires anticipating common difficulties and regularly checking in with learners to make sure you are not leaving them behind. When meeting with learners one-on-one, make sure to use your in-depth reference interview skills to engage in methods discussions. When a learner is in the liminal state, they are not always able to “see the forest for the trees.” Your directed questions will illuminate the problems they are having and the solutions they had not seen. Pay close attention to the digital humanities work and discussions happening on your own campus, as well as across the academic community. Working through the liminal space may require helping learners make connections to others facing similar problems. Also follow online discussions in order to point your learners to a wide variety of group learning opportunities, such as the active digital humanities community on Slack.9 When designing instructional opportunities, such as workshops and hackathons, pay particular attention to outreach strategies that may bring like-minded learners together, as well as diverse voices. For example, invite the scholar whose project was completed last year to add a more experienced voice to the conversation. By encouraging the formation of learning communities on your campus, you are creating safe spaces to help learners navigate the liminal state with others who may be on the other side of struggling with specific digital project issues. In designing instructional activities, guide learners through visualization exercises that help to identify “stuck” places. Making graphic representations of one’s thoughts (e.g., concept maps) can highlight areas that require clarification.

Although the phrase sometimes refers to issues surrounding copyright and open access and sometimes to scholarship analyzing the online world, digital scholarship—emanating, perhaps, from digital humanities—most frequently describes discipline-based scholarship produced with digital tools and presented in digital form.

Though the recent popularity of the phrase digital scholarship reflects impressive interdisciplinary ambition and coherence, two crucial elements remain in short supply in the emerging field. First, the number of scholars willing to commit themselves and their careers to digital scholarship has not kept pace with institutional opportunities. Second, today few scholars are trying, as they did earlier in the web's history, to reimagine the form as well as the substance of scholarship. In some ways, scholarly innovation has been domesticated, with the very ubiquity of the web bringing a lowered sense of excitement, possibility, and urgency. These two deficiencies form a reinforcing cycle: the diminished sense of possibility weakens the incentive for scholars to take risks, and the unwillingness to take risks limits the impact and excitement generated by boldly innovative projects.

Although sometimes confused with digital scholarship centers, digital humanities centers are often specialized research centers led by a group of faculty and serving only select disciplines rather than a broad campus community. Also, libraries often play only a peripheral role in digital humanities centers.1 In contrast, libraries or IT organizations have a key role in digital scholarship centers.

Social VR arrives in the market at a time when broadband and mobile devices have totally remade our model of media consumption. Where it was once appointment-based, in which families and friends would regularly meet in person whenever their favorite TV show was on, we largely use DVRs and streaming services to time shift. Where content consumption was once built around passive, location-dependent contexts — think movie theaters, living room televisions — we now place-shift, carrying our content wherever our smartphones and tablets can accompany us. As this change took root, social media took the place of TV viewing parties. Instead of taking the time to watch our favorite show together with friends, we now share our viewing experience on Twitter, Facebook, and Snapchat. Combine these two trends — slow growth of VR, plus time/place-shifting of content consumption — and you can see that social VR as it is typically conceived confronts a near-insurmountable adoption hurdle. Facebook and other VR developers are asking consumers to invest a fair amount of money and quite a lot of time on a platform most of their friends still don’t use (since most of them don’t even own a virtual reality device) which also runs counter to every content consumption convenience they’ve enjoyed for the last 7-10 years.

Video games, like work, are basically a series of quests comprised of mundane and repetitive tasks: Receive an assignment, travel to a location, overcome some obstacles, perform some sort of search, pick up an item, and then deliver it in exchange for a reward—and, usually, another quest, which starts the cycle all over again. You are not playing the game so much as following its orders. The game is your boss; to succeed, you have to do what it says.

Instead of working, they are playing video games. About three quarters of the increase in leisure time among men since 2000 has gone to gaming. Total time spent on computers, including game consoles, has nearly doubled. You might think that this would be demoralizing. A life spent unemployed, living at home, without romantic prospects, playing digital time wasters does not sound particularly appealing on its face. Yet this group reports far higher levels of overall happiness than low-skilled young men from the turn of the 21st century. In contrast, self-reported happiness for older workers without college degrees fell during the same period. For low-skilled young women and men with college degrees, it stayed basically the same. A significant part of the difference comes down to what Hurst has called "innovations in leisure computer activities for young men." The problems come later. A young life spent playing video games can lead to a middle age without marketable skills or connections. "There is some evidence," Hurst pointed out, "that these young, lower-skilled men who are happy in their 20s become much less happy in their 30s or 40s." So are these guys just wasting their lives, frittering away their time on anti-social activities? Hurst describes his figures as "staggering" and "shocking"—a seismic shift in the relationship of young men to work. "Men in their 20s historically are a group with a strong attachment to the labor force," he writes. "The decline in employment rates for low-skilled men in their 20s was larger than it was for all other sex, age, and skill groups during this same time period." But there's another way to think about the change: as a shift in their relationship to unemployment. Research has consistently found that long-term unemployment is one of the most dispiriting things that can happen to a person. Happiness levels tank and never recover. One 2010 study by a group of German researchers suggests that it's worse, over time, for life satisfaction than even the death of a spouse. What video games appear to do is ease the psychic pain of joblessness—and to do it in a way that is, if not permanent, at least long-lasting. For low-skilled young men, what is the alternative to playing games? We might like to imagine that they would all become sociable and highly productive members of society, but that is not necessarily the case.

A military shooter might offer a simulation of being a crack special forces soldier. A racing game might simulate learning to handle a performance sports car. A sci-fi role-playing game might simulate becoming an effective leader of a massive space colonization effort. But what you're really doing is training yourself to effectively identify on-screen visual cues and twitch your thumb at the right moment. You're learning to handle a controller, not a gun or a race car. You're learning to manage a game's hidden stats system, not a space station. A game provides the sensation of mastery without the actual ability. "It's a simulation of being an expert," Wolpaw says. "It's a way to fulfill a fantasy." That fantasy, ultimately, is one of work, purpose, and social and professional success.

What Lanier doesn’t say here – though he is well aware of the issue from his work on social media – is that the way content production is funded will impact how VR is used.In social media, the loudest voices get promoted through the algorithms (and get the views). We’ve been fortunate in the early stages of VR that the medium has been in the hands of artists who care deeply about humanity. They’ve been self-funded, backed by grants from film festivals and other organizations, and relied on a lot of goodwill.That’s not a sustainable environment for creating immersive content. VR content is not going to be free but outside of specific professional areas (e.g., medical education) and corporate use (eg., Wal-Mart’s training program) we don’t have a working business model. Resolving this issue is not just a business question – it’s a content question. It will directly shape the types of virtual environments and experiences we’ll have in the future.Lanier makes the point in another interview on UnDark,Let’s suppose that after Gutenberg, there was this movement to say all books must be free. Nobody can charge for a book. But it’s okay for books to have advertisements. What we would have ended up with is advertisers determining what books there were.