2,073 Matching Annotations
  1. Apr 2016
    1. Academia, academic models, academic publishing, academics, arrogance, blog comments, Blogging, books, cluefulness, comment-fishing, commenting, constructivism, critical thinking, cultural capital, education systems, ethnocentrism, friends, hegemony, humanism, informal learning, intellectual property, intellectualism, journalism, knowledge, knowledge management, knowledge people, language ideology, language sciences, linguistic anthropology, linkfest, literature, Mali, mass media, media, mediascape, online publishing, opinions, participatory culture, performance, product and process, radio, rants, readership, relativism, respect, schools, shameless plug, social capital, social change, social networking, social networks, social publishing, sophistication, writing

      It may annoy many, but overtagging can be playful.

  2. Mar 2016
    1. By now I had become quite hooked on experimenting with the system, and lots of questions along the line of “I wonder what would happen if?…” sprang to mind.

      Sounds like this is a shared experience we have, as we dig deeper into #SonicPi. Even SPi author Sam Aaron described something similar, in an interview (ca. 33:27). Might have to do with the affordances of a system meant for learning. You know, “scaffolding” and all that.

    1. somewhere between close reading and distributed commentary

      In my wishlist to Jon Udell (still in draft), these two modes can be separate phases with Hypothesis. But in reverse order. First pass is the distributed commentary about the whole piece, similar to social bookmarking and potentially affording a very cursory look (or even just a glance at a headline). It says: “Hey, please read this and tell me what you think!” The second pass could be the deep reading, with one’s personal comments visible, but not influenced by other comments. Then comes the “fun part”, which is also a form of distributed commentary, but is much more conversational. “Distributed” might not be as appropriate, though. At least in computer lingo.

    2. “appropriation” of a context

      My own (playful) pun, which I’ve been using for a while (long before this interview), is that appropriation is about making something our own and making it appropriate in a context. Was told (by an English teacher) that it wasn’t “what appropriation means”. Been prefacing it more since then. But it’s a way to distinguish the concept from the negatively-loaded “cultural appropriation” while keeping the same principles as drivers for a different kind of change. Been especially interested in technological appropriation, overall, and now in technopedagogical appropriation.

    1. if you really want a playful learning experience.

      Especially playful if you dig through the nested comments. When you first [h] the page, it looks as though there’s one tate on the title, two near the middle, and 16 later on. Even when you open a “root level” tate, it remains quiet. But then, when you check the replies… Oh, boy.

    1. Seldom does a promised innovation disrupt entrenched power relations or challenge institutional privilege.

      Which is a large part of the reason our roles become so tricky, as we enable pedagogues’ agency towards technological appropriation.

    2. watch an online tutorial so as to actually use some unintuitive software

      Got a very neat example about music and coding. May not share it too publicly for now, but it’s been an enlightening experience. Tutorials are a given, at this point. xMOOCs have adopted the same model. But true pedagogy (and cMOOCs) occasionally may provide tutorials in a powerful way.

    3. invitations to adopt a much-hyped LMS

      Some of us are immune to those, others take those opportunities to think about new things. Yet others delve more deeply into this transformation of education as a “sector” requiring this kind of pressure sales tactics.

    4. #profchat confirmed my bias towards learning technologies that cultivate curiosity.

      Certainly reflexive, but maybe not an acknowledgment of a problem. Who’s against virtue?

    5. formal and less formal learning arrangements

      Hoping for more talk of the less formal… and the hyperformal (corporate training, say, or state-sponsored messaging).

    6. divergent insight, know-how, and wondering:

      This part is more surprising and perhaps more difficult to handle during a livetweet session. Hard to have threaded conversations synchronously. But it still worked, for the most part.

    7. too readily position expertise

      Because much of the chat was set in an academic mode, positioning selves through expertise was still a big part. Though, granted, not so much about Holden.

    8. How might open annotation amplify marginalized voices?

      Not sure we ever answered that one. And it sounds like the gamification dimension of some annotation practices will marginalize some voices even further. Especially those more efficiently expressed orally.

    9. genuine curiosities

      It’s hard to assess authenticity, especially in fast-paced exchanges among multiple agents. It’s also not so clear that these weren’t comments from people who were already on board with some broad principles behind #OpenAnnotation.

    10. Twitter chats – which too readily prompt a collective preaching to the choir

      There’s a strong selection bias, but the main effect of group dynamics in livetweet sessions has been a special form of group polarization, in my experience.

    11. rather nascent experiences

      Some explorations quickly run deep, others take a lot of time to provide any kind of tangible insight. Holden’s experimentation with course use of [h] is happening at double-speed, it sounds like.

  3. Feb 2016
    1. This is a program of lessons that gives kids the freedom of action to take their own Sonic Pi project in any direction they want to, moving away from the sort of lesson where everybody works on the same piece of software, and giving students the agency to develop their work in an individual way, while almost accidentally becoming familiar with an important set of fundamentals.
    1. Educators

      Just got to think about our roles, in view of annotation. Using “curation” as a term for collecting URLs sounds like usurping the title of “curator”. But there’s something to be said about the role involved. From the whole “guide on the side” angle to the issue with finding appropriate resources based on a wealth of expertise.

  4. Jan 2016
    1. Brenda has shifted her approach from providing turnkey solutions to the teachers that come to her for help. Instead she focuses on accompanying them on their journey, and wants to know what research they have done prior to coming to see her.

      Offering solutions doesn’t tend to help, in most cases. And since “magic bullets” don’t exist, focusing on pathways can help people integrate new practices regardless of tools.

    2. When Brenda starts working with a teacher for the first time, she begins by sharing much more about herself with others than she would have done back in 2008 when she began as an Education Advisor. She finds that it helps to forge a stronger connection.  She remembers hearing someone say that we are constantly asking our students to take risks and share information about themselves with the class and with the teacher, so as teachers we should model this and do the same with our students. This person convinced Brenda that it strengthens bonds, makes us more engaged with each other and makes the teaching and learning much more meaningful and fun.

      Sounds like a key lesson in any type of dialogue.

    1. Creating simulations, however, requires expert-level skills in interaction design, graphics, database functionality, and programming - not to mention instructional design, content expertise, and imagination.

      It all depends on your expectations. Lone teachers (and lone students!) can create very useful simulations. They learn a whole lot in the process. Not sure why this “everything needs to be of professional quality and therefore requires an expensive/expansive team of professionals” mentality comes from. Makes it sound like they have something to sell, to be honest.

    1. “I think younger people don’t see technology as a separate thing,” she says. “We call it new media and new technology, but are they really ‘new’ any more? It is just another tool, like paper, ink or wood. You can use it to be enormously creative and do wonderful things.”
    1. the internet has become essential to our everyday life

      What if we had pockets of non-Internet connectivity, though? A mesh network doesn’t necessarily need to have nodes on the Internet. For instance, a classroom could have a “course in a box”, with all sorts of resources provided on local network, but without a connection to the whole Internet… So many teachers keep complaining about their students’ use of the Internet that they end up banning devices. But what if we allowed devices and even encouraged them, as long as they’re not on the Internet? WiFi connections tend to be spotty, to this day, and some classes are cellular deadzones. A bit like Dogme 95, getting used to sans-Internet connectivity could help us “get creative”. What would we do if we were to do a tech-savvy course on the proverbial “desert island”, without Internet?

    1. (Fascinatingly enough, citing the article that footnotes this development requires use of the Internet Archive, a non-profit institution dedicated to “preserving the internet.”)

      Sure is fascinating.

    1. Set Semantics¶ This tool is used to set semantics in EPUB files. Semantics are simply, links in the OPF file that identify certain locations in the book as having special meaning. You can use them to identify the foreword, dedication, cover, table of contents, etc. Simply choose the type of semantic information you want to specify and then select the location in the book the link should point to. This tool can be accessed via Tools->Set semantics.

      Though it’s described in such a simple way, there might be hidden power in adding these tags, especially when we bring eBooks to the Semantic Web. Though books are the prime example of a “Web of Documents”, they can also contribute to the “Web of Data”, if we enable them. It might take long, but it could happen.

    1. Apple should also better explain what a multi-touch format book is, from within the iBooks Store.  These books are special, with unique interactivity and multimedia, and people would download more of them if Apple did a few more simple things to call attention to them within the place of purchase.

      Revealing.

    2. the iBooks Store can be thought of as a feature of iBooks Author

      Not so sure everyone thinks of it this way. Aren’t some publishers converting their stuff from other formats to iBooks without using iBA?

  5. Dec 2015
    1. Users publish coursework, build portfolios or tinker with personal projects, for example.

      Useful examples. Could imagine something like Wikity, FedWiki, or other forms of content federation to work through this in a much-needed upgrade from the “Personal Home Pages” of the early Web. Do see some connections to Sandstorm and the new WordPress interface (which, despite being targeted at WordPress.com users, also works on self-hosted WordPress installs). Some of it could also be about the longstanding dream of “keeping our content” in social media. Yes, as in the reverse from Facebook. Multiple solutions exist to do exports and backups. But it can be so much more than that and it’s so much more important in educational contexts.

    1. trying to conduct physics research before somebody has invented calculus

      Which sounds easy to dismiss but quite close to a pedagogical strategy. Create hypotheses before you have the tools to test them, instead of relying on what the tools tell you.

    2. a widely adopted language that describes the details of why instructors think a particular aspect of their lecture or their discussion prompt or their experiment assignment is effective

      Comes close to describing something standards enthusiasts are trying to create.

    3. Would the machine be able to infer that these videos belong in a common category in terms of the reason for their effectiveness?

      As with Chomsky dismissing meaning for a few decades, many Big Data people separate the two problems: identifying a phenomenon algorithmically and getting people (or new algorithms) to figure out the reasons, if it all important.

    4. your system is able to flag at least a critical mass of videos taught in the Mueller method as having a bigger educational impact on the students the average educational video by some measure you have identified

      Sounds like a neat description of what many Big Data enthusiasts are actually trying to do. Some Big Data positivists do go so far as to claim that the “inference engine” will eventually be powerful enough to find meaning. But this distinction is within the Big Data field, not between it and other fields.

    5. It sounds really cool.

      The basis of hype tends to be a perception of a “pain point”. The engineering mindframe is designed for problemsolving and troubleshooting. By extension, many things become “problems to be solved” in a special version of the #GoldenHammer (Law of the Instrument). Further, a solution to that perceived problem is enough to generate enthusiasm. In such a case, the big data enthusiasts aren’t that different from those who get excited by other forms of analysis. But there can be a huge gap in terms of critical thinking. Feldstein’s no dupe and would likely make good use of data collected through those systems. Yet this response may be playing the big data game.

    6. when you just change one video for a class that is otherwise the same for many students

      And then, you change one other video in another class and notice that there can be interactions between videos as there are interactions between drugs (or students).

    7. The good news is that, while there are many variables, they are finite in number, mostly known and measurable, and mostly have a quantifiable and reasonably regular impact on the cancer outcome (if you understand all the interactions sufficiently well).

      No room for holism?

    1. As long as the content in SmartBooks is locked down, then it is possible to run machine learning algorithms against the clicks of millions of students using that content. To the degree that the platform is opened up for custom, newly created books, the controlled experiment goes away and the possibility of big data analysis goes with it.

      Not sure it follows…

    1. Chromium, the open-source version of Google Chrome, had abused its position as trusted upstream to insert lines of source code that bypassed this audit-then-build process, and which downloaded and installed a black box of unverifiable executable code directly onto computers, essentially rendering them compromised.

      But Google does no evil!

    1. Schiller has a personal interest in seeing the Mac App Store succeed.

      If so, maybe the Mac App Store has a chance. If not, it’s one of those hot potato problems which make for even more office politics.

    1. Teaching two or three sections per semester would leave ample time for prep and office hours. Add in materials and tech fees around $100 and we could offer these courses for $900 per student per course, excluding marketing costs and considering only the cost of product delivery. These courses would be academically equivalent (incredible professor, great materials, office hours2) to any “regular” university course, but delivered online at around 20% of the all-in cost of buying such a course bundled with food, lodging, athletic facilities, Jacuzzis, and rock walls at an elite university.