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anonymous

To Really Drive Enterprise 2.0 Forward We Need A Behaviour Change - 3 views

  • The ROI of Enterprise 2.0 / Social Anything is not how much did it cost to deploy the technology; it’s what gains have we seen in productivity, employee engagement and customer satisfaction as a result of new collaborative behaviours that are aided and propelled by Enterprise 2.0 / Social Anything technologies.
  • They forget adoption occurs only when people behave in a way that allows collaboration to manifest across an organization.
  • The HR / Learning Professionals are having massive difficulty adjusting to a world with Enterprise 2.0 / Social Anything technologies, but they can’t get in front of it in time to actually establish the behaviours for an organization … even if they knew what behaviours to depict in the first place.
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  • The technologists are happy discussing Enterprise 2.0 / Social Anything features, gizmo’s and futuristic trends … but they forget about the behaviours that are needed to actually make the software more effective in the first place.
  • Whether using new or traditional technologies, the key to digital transformation is re-envisioning and driving change in how the company operates. That’s a management and people challenge, not just a technology one.
  • Dropping Enterprise 2.0 / Social Anything tools into the company theater is not going to guarantee your employees/leaders are collaborating and it’s certainly not going to drive reciprocity.
  • it’s the behavior of people that has to change in parallel with the deployment of any Enterprise 2.0 / Social Anything technology.
Lone Guldbrandt Tønnesen

Ideas from the thirteen weeks of MOOC « Not Worth Printing - 4 views

  • Search: Not Worth Printing open source, elearning trends, ethics in technology and education About
  • In terms of formal learning, Tony Bates believes that changes can occur within the existing education institutes
  • Martin Weller points to the importance of academic institutes recognizing digital scholarship, moving away from the inefficient and costly publishing model and moving towards online publications that better promotes interdisciplinary endeavours
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  • David Wiley and Rory McGreal urge universities to open their content; Wiley further envisions the future of education consisting of learner-generated materials;
  • Building rhizome-like learning networks can foster an environment more conducive to continuous knowledge acquisition and constructio
  • This does not match the way our brain process information, as we are better at learning incremental chunks of knowledge in a meaningful and authentic context.
  • Dave Cormie
  • Clark Quinn’s idea of slow learning
  • Here Jon Dron reminds us that tools themselves are not technology
  • Dron’s definitions of hard vs soft technologies relevant to both formal and informal learning, further help us to undertand that soft technologies are perhaps more useful in building learning and support communities and equipping learners with the ability to  navigate information in networks, thereby promoting lifelong learning.
  • The learners will end up leading the way, as they should.
Rob Parsons

A Pedagogy of Abundance : The Digital Scholar: How Technology Is Transforming Scholarly... - 0 views

  • If we use this perspective to examine education we can consider how education may shift as a result of abundance. Traditionally in education expertise is analogous to talent in the music industry – it is the core element of scarcity in the model. In any one subject there are relatively few experts (compared with the level of knowledge in the general population). Learners represent the ‘demand’ in this model, so when access to the experts is via physical interaction, for example, by means of a lecture, then the model of supply and demand necessitates that the learners come to the place where the experts are located. It also makes sense to group these experts together, around other costly resources such as books and laboratories. The modern university is in this sense a solution to the economics of scarcity.
  • As a result, a ‘pedagogy of scarcity’ developed, which is based around a one-to- many model to make the best use of the scarce resource (the expert). This is embodied in the lecture, which despite its detractors is still a very efficient means of conveying certain types of learning content. An instructivist pedagogy then can be seen as a direct consequence of the demands of scarcity.
  • It may be that we do not require new pedagogies to accommodate these assumptions as Conole (2008) points out: Recent thinking in learning theory has shifted to emphasise the benefit of social and situated learning as opposed to behaviourist, outcomes-based, individual learning. What is striking is that a mapping to the technologies shows that recent trends in the use of technologies, the shift from Web 1.0 to Web 2.0 echoes this; Web 2.0 tools very much emphasise the collective and the network.
    • Rob Parsons
       
      Though i think it is true that students learn collaboratively, and always have done, they don't act as if they do (any more than teachers act as if they do, and quite often less). Perhaps our students still come from experiences that value authority and, whatever is said, do not value constructivism and collaboration.
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  • Any pedagogy of abundance would then, I suggest, be based on the following assumptions:
  • Jonassen (1991) describes it thus: Constructivism … claims that reality is constructed by the knower based upon mental activity. Humans are perceivers and interpreters who construct their own reality through engaging in those mental activities … What the mind produces are mental models that explain to the knower what he or she has perceived … We all conceive of the external reality somewhat differently, based on our unique set of experiences with the world.
  • Given that it has a loose definition, it is hard to pin down a constructivist approach exactly. Mayer (2004) suggests that such discovery-based approaches are less effective than guided ones, arguing that the ‘debate about discovery has been replayed many times in education but each time, the evidence has favoured a guided approach to learning’.
    • Rob Parsons
       
      Interesting, because my immediate reaction was that there's no contradiction between guided learning and constructivism. Just don't expect that your students will always go where you guide them.
  • When Kirschner, Sweller and Clark (2006) claim, with some justification, that ‘the epistemology of a discipline should not be confused with a pedagogy for teaching/learning it’ that only highlights that the epistemology of a discipline is now being constructed by all, so learning how to participate in this is as significant as learning the subject matter of the discipline itself.
  • However, the number of successful open source communities is relatively small compared with the number of unsuccessful ones, and thus the rather tenuous success factors for generating and sustaining an effective community may prove to be a barrier across all subject areas. Where they thrive, however, it offers a significant model which higher education can learn much from in terms of motivation and retention (Meiszner 2010).
  • Abundance does not apply to all aspects of learning; indeed the opposite may be true, for example, an individual's attention is not abundant and is time limited. The abundance of content puts increasing pressure on this scarce resource, and so finding effective ways of dealing with this may be the key element in any pedagogy. However, I would contend that the abundance of content and connections is as fundamental shift in education as any we are likely to encounter, and there has, to date, been little attempt to really place this at the centre of a model of teaching.
    • Rob Parsons
       
      Agreed. Great conclusion. At the moment, if I had to single out one key point Martin makes, it is this.
tim mcnamara

1.1. Connecting learning objects to instructional design theory: A definition, a metaph... - 9 views

  • The purpose of this chapter is to introduce an instructional technology concept known commonly as the “learning object.” First a review of the literature is presented as groundwork for a working definition of the term “learning object.” A brief discussion of instructional design theory is followed by an attempt to connect the learning objects approach to existing instructional design theory, and the general lack of such connective efforts is contrasted with the financial and technical activity generated by the learning objects notion.
  • What is a learning object?
  • An instructional technology called “learning objects” (LTSC, 2000a) currently leads other candidates for the position of technology of choice in the next generation of instructional design, development, and delivery, due to its potential for reusability, generativity, adaptability, and scalability (Hodgins, 2000; Urdan & Weggen, 2000; Gibbons, Nelson, & Richards, 2000).
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  • grounded in the object-oriented paradigm of computer science.
  • build small (relative to the size of an entire course) instructional components that can be reused a number of times in different learning contexts
  • Moreover, those who incorporate learning objects can collaborate on and benefit immediately from new versions. These are significant differences between learning objects and other instructional media that have existed previously.
  • Supporting the notion of small, reusable chunks of instructional media, Reigeluth and Nelson (1997) suggest that when teachers first gain access to instructional materials, they often break the materials down into their constituent parts.
  • if instructors received instructional resources as individual components, this initial step of decomposition could be bypassed
  • The Learning Technology Standards Committee chose the term “learning objects” (possibly from Wayne Hodgins’ 1994 use of the term in the title of the CedMA working group called “Learning Architectures, API’s, and Learning Objects”)
  • provided a working definition
  • Learning Objects are defined here as any entity, digital or non-digital, which can be used, re-used or referenced during technology supported learning. Examples of technology-supported learning include computer-based training systems, interactive learning environments, intelligent computer-aided instruction systems, distance learning systems, and collaborative learning environments. Examples of Learning Objects include multimedia content, instructional content, learning objectives, instructional software and software tools, and persons, organizations, or events referenced during technology supported learning (LOM, 2000).
  • The proliferation of definitions for the term “learning object” makes communication confusing and difficult.
  • It would seem that there are almost as many definitions of the term as there are people employing it.
  • In addition to the various definitions of the term “learning object,” other terms that imply the general intention to take an object-oriented approach to computer-assisted instruction confuse the issue further.
  • Depressingly, while each of these is something different, they all conform to the Learning Technology Standards Committee’s  “learning object” definition. An in depth discussion of the precise meanings of each of these terms would not add to the main point of this discussion: the field is still struggling to come to grips with the question, “What is a learning object?”
  • At the same time, the creation of yet another term only seems to add to the confusion. While the creation of a satisfactory definition of the term learning object will probably consume the better part of the author’s career, a working definition must be presented before the discussion can proceed.
  • Therefore, this chapter will define a learning object as “any digital resource that can be reused to support learning.”
  • This definition includes anything that can be delivered across the network on demand, be it large or small.
  • This definition of learning object, “any digital resource that can be reused to support learning,” is proposed for two reasons.
  • The definition adopted for this chapter emphasizes the purposeful use (by either an instructional designer, an instructor, or a student) of these objects to support learning
  • Second, the proposed definition is based on the LTSC definition (and defines a proper subset of learning objects as defined by the LTSC), making issues of compatibility of learning object as defined within this chapter and learning object as defined by the LTSC explicit
  • With that compatibility made explicit, the proposed definition differs from the LTSC definition in two important ways.
  • First, the definition explicitly rejects non-digital
  • The definition also drops the phrase "technology supported" which is now implicit, because all learning objects are digital.
  • Second, the phrase "to support" has been substituted in place of "during" in the LTSC definition. Use of an object "during" learning doesn't connect its use to learning
  • First, the definition is sufficiently narrow to define a reasonably homogeneous set of things: reusable digital resources. At the same time, the definition is broad enough to include the estimated 15 terabytes of information available on the publicly accessible Internet (Internet Newsroom, 1999).
  • Armed with a working definition of the term learning object, the discussion of the instructional use of learning objects can proceed.
  • Instructional design theory and learning objects
  • Reigeluth
  • [I]nstructional design theories are design oriented, they describe methods of instruction and the situations in which those methods should be used, the methods can be broken into simpler component methods, and the methods are probabilistic. (p. 7).s11 {margin-left:0; line-height:2.400000; text-indent:36;}
  • Because the very definition of “theory” in some fields is “descriptive,” design theories are commonly confused with other types of theories that they are not, including learning theory and curriculum theory (Reigeluth, 1999a).
  • The following discussion takes a step in this direction, by recasting two of the largest issues in the learning objects area – combination and granularity – in instructional design terms
  • Combination
  • there is astonishingly little conversation around the instructional design implications of learning objects.
  • item (d) in the Learning Objects Metadata Working Group’s PAR (LOM, 2000) reads as follows:
  • To enable computer agents to automatically and dynamically compose personalized lessons for an individual learner
  • at this point a brief discussion of metadata, the focus of the Learning Object Metadata Working Group’s efforts, is necessary.
  • Metadata, literally “data about data,” is descriptive information about a resource
  • he Learning Objects Metadata Working Group is working to create metadata for learning objects (such as Title, Author, Version, Format, etc.) so that people and computers will be able to find objects by searching
  • ​The problem with 7(d) arose when people began to actually consider what it meant for a computer to “automatically and dynamically compose personalized lessons.”
  • his meant taking individual learning objects and combining them in a way that made instructional sense, or in instructional design terminology, “sequencing” the learning objects.
  • The problem was that no instructional design information was included in the metadata specified by the current version of the Learning Objects Metadata Working Group standard.
  • ​The lack of instructional design discussion at this standards-setting level of conversation about learning objects is disturbing, because it might indicate a trend.
  • Once technology or software that does not support an instructionally-grounded approach to learning object sequencing is completed and shipped to the average teacher, why would he or she respond any differently
  • Wiley (1999) called this “the new CAI – ‘Clip Art Instruction’” (p. 6).
  • Discussion of the problem of combining learning objects in terms of “sequencing” leads to another connection between learning objects and instructional design theory.
  • Granularity
  • The most difficult problem facing the designers of learning objects is that of “granularity” (Wiley, et al., 1999).
  • How big should a learning object be?
  • Reuse is the core of the learning object notion, as generativity, adaptivity, and other –ivities are all facilitated by the property of reuse.
  • designating every individual graphic and paragraph of text within a curriculum a “learning object” can be prohibitively expensive
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