277 Matching Annotations
  1. Sep 2016
    1. As many universities are being queried by the federal government on how they spend their endowment money, and enrollment decreases among all institutions nationally, traditional campuses will need to look at these partnerships as a sign of where education is likely going in the future, and what the federal government may be willing to finance with its student loan programs going ahead.

      To me, the most interesting about this program is that it sounds like it’s targeting post-secondary institutions. There are multiple programs to “teach kids to code”. Compulsory education (primary and secondary) can provide a great context for these, in part because the type of learning involved is so broad and pedagogical skills are so recognized. In post-secondary contexts, however, there’s a strong tendency to limit coding to very specific contexts, including Computer Science or individual programs. We probably take for granted that people who need broad coding skills can develop them outside of their college and university programs. In a way, this isn’t that surprising if we’re to compare coding to very basic skills, like typing. Though there are probably many universities and colleges where students can get trained in typing, it’s very separate from the curriculum. It might be “college prep”, but it’s not really a college prerequisite. And there isn’t that much support in post-secondary education. Of course, there are many programs, in any discipline, giving a lot of weight to coding skills. For instance, learners in Digital Humanities probably hone in their ability to code, at some point in their career. And it’s probably hard for most digital arts programs to avoid at least some training in programming languages. It’s just that these “general” programs in coding tend to focus almost exclusively on so-called “K–12 Education”. That this program focuses on diversity is also interesting. Not surprising, as many such initiatives have to do with inequalities, real or perceived. But it might be where something so general can have an impact in Higher Education. It’s also interesting to notice that there isn’t much in terms of branding or otherwise which explicitly connects this initiative with colleges and universities. Pictures on the site show (diverse) adults, presumably registered students at universities and colleges where “education partners” are to be found. But it sounds like the idea of a “school” is purposefully left quite broad or even ambiguous. Of course, these programs might also benefit adult learners who aren’t registered at a formal institution of higher learning. Which would make it closer to “para-educational” programs. In fact, there might something of a lesson for the future of universities and colleges.

    2. As many universities are being queried by the federal government on how they spend their endowment money, and enrollment decreases among all institutions nationally, traditional campuses will need to look at these partnerships as a sign of where education is likely going in the future, and what the federal government may be willing to finance with its student loan programs going ahead.

      To me, the most interesting about this program is that it sounds like it’s targeting post-secondary institutions. There are multiple programs to “teach kids to code”. Compulsory education (primary and secondary) can provide a great context for these, in part because the type of learning involved is so broad and pedagogical skills are so recognized. In post-secondary contexts, however, there’s a strong tendency to limit coding to very specific contexts, including Computer Science or individual programs. We probably take for granted that people who need broad coding skills can develop them outside of their college and university programs. In a way, this isn’t that surprising if we’re to compare coding to very basic skills, like typing. Though there are probably many universities and colleges where students can get trained in typing, it’s very separate from the curriculum. It might be “college prep”, but it’s not really a college prerequisite. And there isn’t that much support in post-secondary education. Of course, there are many programs, in any discipline, giving a lot of weight to coding skills. For instance, learners in Digital Humanities probably hone in their ability to code, at some point in their career. And it’s probably hard for most digital arts programs to avoid at least some training in programming languages. It’s just that these “general” programs in coding tend to focus almost exclusively on so-called “K–12 Education”. That this program focuses on diversity is also interesting. Not surprising, as many such initiatives have to do with inequalities, real or perceived. But it might be where something so general can have an impact in Higher Education. It’s also interesting to notice that there isn’t much in terms of branding or otherwise which explicitly connects this initiative with colleges and universities. Pictures on the site show (diverse) adults, presumably registered students at universities and colleges where “education partners” are to be found. But it sounds like the idea of a “school” is purposefully left quite broad or even ambiguous. Of course, these programs might also benefit adult learners who aren’t registered at a formal institution of higher learning. Which would make it closer to “para-educational” programs. In fact, there might something of a lesson for the future of universities and colleges.

    1. frame the purposes and value of education in purely economic terms

      Sign of the times? One part is about economics as the discipline of decision-making. Economists often claim that their work is about any risk/benefit analysis and isn’t purely about money. But the whole thing is still about “resources” or “exchange value”, in one way or another. So, it could be undue influence from this way of thinking. A second part is that, as this piece made clear at the onset, “education is big business”. In some ways, “education” is mostly a term for a sector or market. Schooling, Higher Education, Teaching, and Learning are all related. Corporate training may not belong to the same sector even though many of the aforementioned EdTech players bet big on this. So there’s a logic to focus on the money involved in “education”. Has little to do with learning experiences, but it’s an entrenched system.

      Finally, there’s something about efficiency, regardless of effectiveness. It’s somewhat related to economics, but it’s often at a much shallower level. The kind of “your tax dollars at work” thinking which is so common in the United States. “It’s the economy, silly!”

    1. Research: Student data are used to conduct empirical studies designed primarily to advance knowledge in the field, though with the potential to influence institutional practices and interventions. Application: Student data are used to inform changes in institutional practices, programs, or policies, in order to improve student learning and support. Representation: Student data are used to report on the educational experiences and achievements of students to internal and external audiences, in ways that are more extensive and nuanced than the traditional transcript.

      Ha! The Chronicle’s summary framed these categories somewhat differently. Interesting. To me, the “application” part is really about student retention. But maybe that’s a bit of a cynical reading, based on an over-emphasis in the Learning Analytics sphere towards teleological, linear, and insular models of learning. Then, the “representation” part sounds closer to UDL than to learner-driven microcredentials. Both approaches are really interesting and chances are that the report brings them together. Finally, the Chronicle made it sound as though the research implied here were less directed. The mention that it has “the potential to influence institutional practices and interventions” may be strategic, as applied research meant to influence “decision-makers” is more likely to sway them than the type of exploratory research we so badly need.

  2. Jul 2016
    1. The military’s contributions to education technology are often overlooked

      Though that may not really be the core argument of the piece, it’s more than a passing point. Watters’s raising awareness of this other type of “military-industrial complex” could have a deep impact on many a discussion, including the whole hype about VR (and AR). It’s not just Carnegie-Mellon and Paris’s Polytechnique («l’X») which have strong ties to the military. Or (D)ARPANET. Reminds me of IU’s Dorson getting money for the Folklore Institute during the Cold War by arguing that the Soviets were funding folklore. Even the head of the NEH in 2000 talked about Sputnik and used the language of “beating Europe at culture” when discussing plans for the agency. Not that it means the funding or “innovation” would come directly from the military but it’s all part of the Cold War-era “ideology”. In education, it’s about competing with India or Finland. In other words, the military is part of a much larger plan for “world domination”.

    1. This model might make sense if our goal was to produce cars, clothing, and some other commodity more efficiently. But a university education doesn’t fit into this paradigm. It isn’t just a commodity.

      In education as in health, things get really complex when people have an incentive for people not to improve.

    1. improving teaching, not amplifying learning.

      Though it’s not exactly the same thing, you could call this “instrumental” or “pragmatic”. Of course, you could have something very practical to amplify learning, and #EdTech is predicated on that idea. But when you do, you make learning so goal-oriented that it shifts its meaning. Very hard to have a “solution” for open-ended learning, though it’s very easy to have tools which can enhance open approaches to learning. Teachers have a tough time and it doesn’t feel so strange to make teachers’ lives easier. Teachers typically don’t make big purchasing decisions but there’s a level of influence from teachers when a “solution” imposes itself. At least, based on the insistence of #BigEdTech on trying to influence teachers (who then pressure administrators to make purchases), one might think that teachers have a say in the matter. If something makes a teaching-related task easier, administrators are likely to perceive the value. Comes down to figures, dollars, expense, expenditures, supplies, HR, budgets… Pedagogy may not even come into play.

  3. Jun 2016
    1. «On entend pourtant peu parler de la pédagogie postsecondaire, même s'il y a des initiatives qui naissent à gauche et à droite. Certains innovent, mais ça reste dans leur collège ou leur département universitaire»
    1. educators and students alike have found themselves more and more flummoxed by a system that values assessment over engagement, learning management over discovery, content over community, outcomes over epiphanies

      This Systems or "factory farming" approach to education seems antithetical to (and virtually guaranteed to flummox) a community-based, engaged, serendipitous and spontaneous learning explosion in traditional Higher Ed. Where are some cracks and crevices where the System has failed to snuff out the accidental life of learning?

  4. May 2016
  5. Apr 2016
  6. Feb 2016
    1. “ Whatever happened to Instructional Technology? ”. With this publication , he highlighted a nd attempted to explain the persistent failure of ICT to penetrate the world of higher education, despite several decades of effort and massive inve stment (Geoghegan, 1994)

      This may situate the problem quite deeply in the history of educational ict and support claims relating to the persistence of this problem in the face of numerous interventions.

  7. Jan 2016
  8. Dec 2015
    1. customers become less willing to pay

      There are a few key cases, here. a) Public Education (much of the planet) b) Parent-Funded Higher Education (US-centric model) c) Corporate Training (emphasis for most learning platforms, these days) d) For-Profit Universities (Apollo Group and such) e) xMOOCs (learning as a startup idea, with freemium models) f) Ad-Supported Apps & Games (Hey! Some of them are “educational”!)

    2. In every industry, the early successful products and services often have an interdependent architecture—meaning that they tend to be proprietary and bundled.

      The idea that there’s a “Great Unbundling of (Higher) Education” needs not be restricted to the business side of things, but it’s partly driven by those who perceive education as an “industry”. Producing… graduates?

    1. The goal of education is for the educator to become less and less needed for learners to learn.

      The reverse of the typical “goal displacement”. Instead of focusing on ensuring our continued employment as “instructors”, we want to make sure learning happens. Deep down, we know we’ll find ways to work, no matter what happens. The comparison with health can be interesting. If doctors had an incentive to keep people sick, society wouldn’t benefit much. Allegedly, Chinese healthcare provides incentives for doctors to help people stay healthy. Sounds like it’d make sense, somehow. Yet education and health are both treated like industries. We produce graduates, future employees, etc. Doctors produce people who fit a pattern of what it means to be healthy in a given social context. There’s even a factory-chain metaphor used when some people apply “lean management” to hospitals or colleges. Not that the problem is with the management philosophy itself. But focusing so much on resource allocation blinds us from a deep reality: as we are getting healthier and more “learned”, roles are shifting.

    1. Among the most useful summaries I have found for Linked Data, generally, and in relationship to libraries, specifically. After first reading it, got to hear of the acronym LODLAM: “Linked Open Data for Libraries, Archives, and Museums”. Been finding uses for this tag, in no small part because it gets people to think about the connections between diverse knowledge-focused institutions, places where knowledge is constructed. Somewhat surprised academia, universities, colleges, institutes, or educational organisations like schools aren’t explicitly tied to those others. In fact, it’s quite remarkable that education tends to drive much development in #OpenData, as opposed to municipal or federal governments, for instance. But it’s still very interesting to think about Libraries and Museums as moving from a focus on (a Web of) documents to a focus on (a Web of) data.

  9. Nov 2015
  10. Oct 2015
  11. Apr 2015
    1. If you want to help low-income students succeed, it’s not enough to deal with their academic and financial obstacles. You also need to address their doubts and misconceptions and fears. To solve the problem of college completion, you first need to get inside the mind of a college student.

      How do you get inside the mind of a college student?