groups networks and collectives - more! Scott Wilson notes some concerns with the “lack of clarity” between the three entities of the Many that Jon Dron and I have been discussing and blogging about. An educational taxonomy or a model gains its pragmatic value by the extent to which it helps practitioners and online learning researchers develop, implement and assess learning contexts, environments and activities. This value is enhanced by clarity and lack of overlap and redundancy in the elements of the model. For example, a group might be supported on a LMS (hopefully accessed and supported from a PLE), that would provide motivation and application to use networks consisting of those outside the group from which learners could create, consume and validate new knowledge. We have noted that certain tools were designed for or have become associated with different dimensions of the Many, but we have never argued that tools cannot be appropriated for use by others aggregations.
Conectivismo en el aula: Educared 2011 Conectivismo en el aula: Educared 2011 Detalles Creado en Domingo, 06 Noviembre 2011 07:20 Visto: 7233 Conectivismo... En septiembre recibí la petición de la Fundación Telefónica de preparar una ponencia virtual para el encuentro de EducaRed de este año sobre la integración del Conectivismo en el Aula. Me resultó curioso que me hicieran esta petición, ya que en las redes me muestro bastante crítica con el Conectivismo. IV Encuentro Internacional EducaRed 2011 He recogido en el vídeo y en la presentación las ideas principales: ¡Muchas gracias a José Gregorio del Sol por ayudarme a grabar este vídeo! Después, charlamos sobre algunos temas en los foros. ¿Es el conectivismo una teoría? Como apunto en la presentación, desde mi punto de vista, el conectivismo es un concepto interesante pero no una teoría de aprendizaje. "¿Es el conectivismo una teoría? ¿Cómo se diferencian el conexionismo y el conectivismo? Desde mi punto de vista, al conectivismo se le puede achacar lo mismo que al conexionismo:
The Half-Life of Facts: Dissecting the Predictable Patterns of How Knowledge Grows by Maria Popova “No one learns something new and then holds it entirely independent of what they already know. We incorporate it into the little edifice of personal knowledge that we have been creating in our minds our entire lives.” Concerns about the usefulness of knowledge and the challenges of information overload predate contemporary anxieties by decades, centuries, if not millennia. In The Half-life of Facts: Why Everything We Know Has an Expiration Date (public library) — which gave us this fantastic illustration of how the Gutenberg press embodied combinatorial creativity — Samuel Arbesman explores why, in a world in constant flux with information proliferating at overwhelming rates, understanding the underlying patterns of how facts change equips us for better handling the uncertainty around us. (He defines fact as “a bit of knowledge that we know, either as individuals or as a society, as something about the state of the world.”) Arbesman writes in the introduction: And yet:
Connectivism: A Learning Theory for the Digital Age Connectivism: A Learning Theory for the Digital Age December 12, 2004 George Siemens Update (April 5, 2005): I've added a website to explore this concept at www.connectivism.ca Introduction Behaviorism, cognitivism, and constructivism are the three broad learning theories most often utilized in the creation of instructional environments. Learners as little as forty years ago would complete the required schooling and enter a career that would often last a lifetime. “One of the most persuasive factors is the shrinking half-life of knowledge. Some significant trends in learning: Many learners will move into a variety of different, possibly unrelated fields over the course of their lifetime. Background Driscoll (2000) defines learning as “a persisting change in human performance or performance potential…[which] must come about as a result of the learner’s experience and interaction with the world” (p.11). Driscoll (2000, p14-17) explores some of the complexities of defining learning. Conclusion:
Week 1 - What Is Connectivism? ~ CCK11 You are not logged in. [] [] [Outline] [Week 2] Dates: January 17 - 24, 2011 Overview At its heart, connectivism is the thesis that knowledge is distributed across a network of connections, and therefore that learning consists of the ability to construct and traverse those networks. Readings SeminarsSeminars Wednesday: Live Session: Location: Elluminate (Click Here to Join). Activities A few simple activities for this week: 1. 2. 3. It is especially important to use this tag in del.icio.us and in Twitter. If you are using a blog, Flickr, or a discussion group, share the RSS feed.
Collective intelligence 2.0 JIM-lovc14 - Connectivisme Connectivisme is een van de leertheorieën die mij als eerste aansprak en wel om drie redenen. Ten eerste omdat het een nieuwe theorie is die zich spitst op het vermogen van leren dat verwacht wordt in het huidige tijdperk. Ten tweede omdat dit een goede aanvulling lijkt te geven op de theorieën die al bestaan binnen het onderwijs en ten derde, omdat de huidige technologie steeds meer mogelijkheden biedt binnen het onderwijs. In onderstaand stuk kun je lezen waar het connectivisme zijn oorsprong vindt, wie met deze ontwikkelingen bezig zijn en wat dit voor invloed heeft op het huidige onderwijs. John Medina doet onder andere onderzoek naar de effecten van de huidige technologie op het menselijk brein en schreef daar interessante boeken over.
Collective Intelligence? Nah. Connective Intelligence ~ Stephen's Web ~ by Stephen Downes This is exactly right: "(Surowiecki) makes the point that people do not think together in coming to certain conclusions, but rather than people think on their own and the value of the collaborative comes in the connection and combination of ideas. Each person retains their own identity and ideas, but they are shaped and influenced by the work of others. The concept here is related somewhat to Stephen Downes' discussion of groups vs. networks. At stake in these discussions (Surowiecki, Downes, de Kerchove) is how we are to perceive the individual in a world where the collaborative/collective is increasingly valued." That is why I, too, prefer the concept of connective (not collective) intelligence. I also agree with Siemens that the difference will become more vital over the years: "For reasons of motivation, self-confidence, and satisfaction, it is critical that we can retain ourselves and our ideas in our collaboration with others.
Connectivism: Its place in theory-informed research and innovation in technology-enabled learning | Bell Special Issue - Connectivism: Design and Delivery of Social Networked Learning Frances Bell University of Salford, United Kingdom Abstract The sociotechnical context for learning and education is dynamic and makes great demands on those trying to seize the opportunities presented by emerging technologies. Keywords: Theory; learning; implementation; research; evaluation; connectivism; actor-network theory; social shaping of technology; activity theory; zone of proximal development; change management Those who struggle to create an adequate theory of learning must admit that the process is much like stumbling in the dark. Introduction From its origins as a network for sharing data and software amongst scientists, the Internet has become commonplace in the developed world and is growing rapidly in developing countries, as shown in Table 1 (Internet Usage Statistics, 2009). Connectivism as a Learning Theory Connectivism Connectivism as a Phenomenon