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gobibijou

Stephen Downes - 0 views

www.blip.tv/840097

downes elearning education web2.0

shared by gobibijou on 24 Sep 09 - Cached
  • ning 2.0 and the
    • gobibijou
      gobibijou on 24 Sep 09
       
      S. Downes: http://www.blip.tv/file/840097 2 approaches to learning - tradiotional (AI): old artifitial technology. Expert system organises. Old managnement systems. Focus on: - Goal orientated. - Competencies. - Efficency (from A to B in the most efficient). Requieres: - an expert - knowledge representation (VS. Siemens: the knowledge that we have CAN'T be represented) for expl. language -- Problem: it creates a simplification of the knowledge. - learning activities are set up by an expert. -network approach: (???IDF). Conectivism (born 40 years ago Pappert &?). Computational system is NOT set up as a representational system BUT is set up as a NETWORK (like a brain). The connectivist system: - is unnorganized - is unstructured (previously) - looks messy and unorganised - can NOT be predicted HOw Knowledge is represented in the system? DISTRIBUTED. Our concept of X is not a symbolic representation but a set up of active connections also in a neuronal level (?) Model of learning NOt based in deduction and inference BUT on ASSOCIATION based on: - concurrency. - proximity. - back propagation (economics: supply and demand market is based on that) - ???Amealing the way form networks/community in society work in THE SAME WAY that they do in a neuronal level and a personal level. Communities ARE networks that work through distributed connections. How should be the network? - DIVERSITY (wide representation of different points of views) Knowledge in a network is: EMERGENT - AUTONOMY : each individual is self-directed. Each individual works as his own guide. - CONNECTEDNESS (or interactivities). Knowledge produced by mechanism of interaction is produced by the nature/properties of the network. The way/organization of connections are formed is essential. - OPENESS (there's no inside/outside the "system"). Connection FLOWS freely. RECOGNITION of patterns (clustter). LEARNERS: Learners have different things they want to learn and the system
  • 2.0 and the impact of web 2
    • gobibijou
      gobibijou on 24 Sep 09
       
      S. Downes: http://www.blip.tv/file/840097 NOtes (need to be double checked) 2 approaches to learning 1. traditional (AI): old artifitial technology. Expert system organises. Old managnement systems. Focus on: - Goal orientated. - Competencies. - Efficency (from A to B in the most efficient). Requieres: - an expert - knowledge representation (VS. Siemens: the knowledge that we have CAN'T be represented) for expl. language -- Problem: it creates a simplification of the knowledge. - learning activities are set up by an expert. 2.-network approach: (???IDF). Conectivism (born 40 years ago Pappert &?). Computational system is NOT set up as a representational system BUT is set up as a NETWORK (like a brain). The connectivist system: - is unnorganized - is unstructured (previously) - looks messy and unorganised - can NOT be predicted HOw Knowledge is represented in the system? DISTRIBUTED. Our concept of X is not a symbolic representation but a set up of active connections also in a neuronal level (?) Model of learning NOt based in deduction and inference BUT on ASSOCIATION based on: - concurrency. - proximity. - back propagation (economics: supply and demand market is based on that) - ???Amealing the way form networks/community in society work in THE SAME WAY that they do in a neuronal level and a personal level. Communities ARE networks that work through distributed connections. How should be the network? - DIVERSITY (wide representation of different points of views) Knowledge in a network is: EMERGENT - AUTONOMY : each individual is self-directed. Each individual works as his own guide. - CONNECTEDNESS (or interactivities). Knowledge produced by mechanism of interaction is produced by the nature/properties of the network. The way/organization of connections are formed is essential. - OPENESS (there's no inside/outside the "system"). Connection FLOWS freely. RECOGNITION of patterns (clustter). LEARNERS: Learners have different thin
  • gobibijou on 24 Sep 09
     
    downes talking about approaches in education. Web 2.0, elearning...
Keith Hamon

Reflections on open courses « Connectivism - 4 views

www.connectivism.ca/?p=267

connectivism open education collaboration pedagogy technology

shared by Keith Hamon on 22 Aug 10 - Cached
  • In education, content can easily be produced (it’s important but has limited economic value). Lectures also have limited value (easy to record and to duplicate). Teaching – as done in most universities – can be duplicated. Learning, on the other hand, can’t be duplicated. Learning is personal, it has to occur one learner at a time. The support needed for learners to learn is a critical value point.
    • Ed Webb
      Ed Webb on 22 Aug 10
       
      Excellent insight!
    • Keith Hamon
      Keith Hamon on 26 Aug 10
       
      Here's the key: if what we are typically doing in our classrooms can be easily duplicated, then it has lost its value in both the wider economy and in the educational ecosystem. We university professors must redefine the way we add value to our students' personal learning networks.
  • Learning, however, requires a human, social element: both peer-based and through interaction with subject area experts
  • Content is readily duplicated, reducing its value economically. It is still critical for learning – all fields have core elements that learners must master before they can advance (research in expertise supports this notion). - Teaching can be duplicated (lectures can be recorded, Elluminate or similar webconferencing system can bring people from around the world into a class). Assisting learners in the learning process, correcting misconceptions (see Private Universe), and providing social support and brokering introductions to other people and ideas in the discipline is critical. - Accreditation is a value statement – it is required when people don’t know each other. Content was the first area of focus in open education. Teaching (i.e. MOOCs) are the second. Accreditation will be next, but, before progress can be made, profile, identity, and peer-rating systems will need to improve dramatically. The underlying trust mechanism on which accreditation is based cannot yet be duplicated in open spaces (at least, it can’t be duplicated to such a degree that people who do not know each other will trust the mediating agent of open accreditation)
  • ...6 more annotations...
  • The skills that are privileged and rewarded in a MOOC are similar to those that are needed to be effective in communicating with others and interacting with information online (specifically, social media and information sources like journals, databases, videos, lectures, etc.). Creative skills are the most critical. Facilitators and learners need something to “point to”. When a participant creates an insightful blog post, a video, a concept map, or other resource/artifact it generally gets attention.
  • Intentional diversity – not necessarily a digital skill, but the ability to self-evaluate ones network and ensure diversity of ideologies is critical when information is fragmented and is at risk of being sorted by single perspectives/ideologies.
  • The volume of information is very disorienting in a MOOC. For example, in CCK08, the initial flow of postings in Moodle, three weekly live sessions, Daily newsletter, and weekly readings and assignments proved to be overwhelming for many participants. Stephen and I somewhat intentionally structured the course for this disorienting experience. Deciding who to follow, which course concepts are important, and how to form sub-networks and sub-systems to assist in sensemaking are required to respond to information abundance. The process of coping and wayfinding (ontology) is as much a lesson in the learning process as mastering the content (epistemology). Learners often find it difficult to let go of the urge to master all content, read all the comments and blog posts.
  • e. Learning is a social trust-based process.
  • Patience, tolerance, suspension of judgment, and openness to other cultures and ideas are required to form social connections and negotiating misunderstandings.
  • An effective digital citizenry needs the skills to participate in important conversations. The growth of digital content and social networks raises the need citizens to have the technical and conceptual skills to express their ideas and engage with others in those spaces. MOOCs are a first generation testing grounds for knowledge growth in a distributed, global, digital world. Their role in developing a digital citizenry is still unclear, but democratic societies require a populace with the skills to participate in growing a society’s knowledge. As such, MOOCs, or similar open transparent learning experiences that foster the development of citizens confidence engage and create collaboratively, are important for the future of society.
Lisa M Lane

The Technological Dimension of a Massive Open Online Course: The Case of the CCK08 Cour... - 7 views

www.irrodl.org/...1402

articles research

shared by Lisa M Lane on 17 Nov 09 - Cached
  • highlighting the purpose of the tools (e.g., skill-building) and stating clearly that the learners can choose their preferred tools
  • Although formal attendance seemed to be the main driver for completing assignments and the course, the main reason for not completing the course was a lack of time
  • Learners, in the absence of a stronger motivation, attend only partially
  • ...3 more annotations...
  • students attend the course without expecting a certificate
  • Furthermore, a “hand-made” or “hacked” certificate issued by the instructor (not by the institution) (Young, 2008) only partially affects the motivation to finish the course:
  • comments confirm the need for increased attention to usability since users do not want to deal with confusing interfaces
  • Lisa M Lane on 17 Nov 09
     
    The Technological Dimension of a Massive Open Online Course: The Case of the CCK08 Course Tools Problematic study of CCK08 -- sample size was way too small, would have been more interesting to examine ways in which instructor choices of tools influenced student tool use -- choices are exclusive, so can't put "confusing" and "overwhelming" at the same time.
Lisa M Lane

New Millennium Learners in Higher Education: Evidence and Policy Implications (Sept 200... - 0 views

www.nml-conference.be/...NML-in-Higher-Education.pdf

articles 2009

shared by Lisa M Lane on 19 Sep 09 - No Cached
  • Lisa M Lane on 19 Sep 09
     
    NMLs use the internet for convenience and productivity only -- they want technology to support current educational, primarily f2f, education, but not to transform it.
Lisa Durff

Connectivism - 5 views

www.connectivism.ca

EDUC8845 connectivism theory

shared by Lisa Durff on 01 Nov 09 - Cached
    • Lisa Durff
      Lisa Durff on 01 Nov 09
       
      There is learning in the connections. There are connections in the learning. Wow, it seems to work both ways.
  • What would learning look like if we developed it from the world view of connections?
  • Learners will create and innovate if they can express ideas and concepts in their own spaces and through their own expertise
  • ...1 more annotation...
  • Instead of sharing only their knowledge (as is done in a university course) they share their sensemaking habits and their thinking processes with participants. Epistemology is augmented with ontology.
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