On Jan. 17 George Siemens and I will launch the third offering of our online course called 'Connectivism and Connective Knowledge' -- or CCK11. We use the term 'connectivism' to describe a network-based pedagogy. The course itself uses connectivist principles and is therefore an instantiation of the philosophy of teaching and learning we both espouse. If you're interested, you can register here: The course is a MOOC -- a massive open online course. It also means, second, that the course is free and open. The way CCK11 is set up is that we've defined a twelve-week course of readings. What is important about a connectivist course, after all, is not the course content. Let me explain why we take this approach and what connectivism is. What we learn, what we know -- these are literally the connections we form between neurons as a result of experience. Of course, all this is the subject of the course. 1. 2. The next step is to draw connections. 3. What materials? 4.
Connectivism-Long DescriptionConnectivism: 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:
Awesome: DIY Data Tool Needlebase Now Available to EveryoneIf you've been within shouting distance of me over the last month, you've probably heard me singing the praises of Needlebase, a great new point-and-click tool for extracting, sorting and visualizing data from across pages around the web. I've been using it for all kinds of things and now you can too. When we first reviewed Needle here on ReadWriteWeb, it was in closed beta and new users had to request an account. Now it's open and available for all: free for personal use or by subscription for commercial use. Check out some examples of ways I've used this exciting new technology below. Needlebase allows you to view web pages through a virtual browser, point and click to train it in understanding what fields on that page are of interest to you and how those fields relate to each other. For example, I've already used Needle to do the following. And here are a few ways I've used Needlebase so far. Investigative journalism Data Re-Sorting Enter Needlebase. Event Preparation Other Uses
A Model of AutonomyIn his presentation during week 10 of PLENK2010, Seb Fiedler challenged us to develop a concept of autonomy more precise than vague ascriptions of capacities of learners to choose their own course materials and subjects. It was a good criticism and led to worthwhile reflection around the topic. Fiedler provided us with a model meta-structure, as follows: This was helpful, but made it difficult to grasp where the autonomy came into the picture. It also seemed to centre autonomny on the person, or the individual, which Fiedler and others suggested is a limitation of the conception of autonomy we are employing. That said, a proper model of autonomy will reflect a proper theory of decision-making or theory of action in general. is more helpful than an unprincipled classification of autonomy into different categories such as found here. Here is the outline of a much more comprehensive and useful model of autonomy: For example, this is a pretty good model: Here's another functional model.
Welcome to CCK11 ~ CCK11ConnectivismConnectivism is a hypothesis of learning which emphasizes the role of social and cultural context. Connectivism is often associated with and proposes a perspective similar to Vygotsky's 'zone of proximal development' (ZPD), an idea later transposed into Engeström's (2001) Activity theory. The relationship between work experience, learning, and knowledge, as expressed in the concept of ‘connectivity, is central to connectivism, motivating the theory's name. It is somewhat similar to Bandura's Social Learning Theory that proposes that people learn through contact. The phrase "a learning theory for the digital age" indicates the emphasis that connectivism gives to technology's effect on how people live, communicate and learn. Nodes and links The central aspect of connectivism is the metaphor of a network with nodes and connections. In this metaphor, a node is anything that can be connected to another node such as an organization, information, data, feelings, and images.
Launching Elluminate Live!Start Session Optionally, you can pre-configure your computer and test your audio using one of our Configuration Rooms prior to your session. Please visit our "First time Users" section in the Support Portal to view configuration rooms for Blackboard Collaborate web conferencing. Note: When joining a Blackboard Collaborate web conferencing session for the first time you will see a Security Dialog.Connective Learning: Challenges for Learners, Teachers, and Educational InstitutionsBy Claude Almansi Editor, Accessibility Issues ETCJ Associate Administrator The International Review of Research in Open and Distance Learning (IRRODL) has dedicated a special issue to “Connectivism: Design and Delivery of Social Networked Learning” (March 2011), edited by George Siemens (Athabasca University, Canada) and Grainne Canole (Open University, UK). This special issue is not meant as a definitive sum on connectivism but rather, as Terry Anderson, editor of IRRODL, put it in his announcement on the Instructional Technology Forum mailing list: … a challenge and request that we spend more effort into trying to understand if connectivism has approaches and delivers important insights and practical designs into the increasing networked learning context in which we function. Learning is connective This is not just a bias of ours. Almost half a millennium earlier, Pierre Eyquem, seigneur de Montaigne, decided that his baby son Michel should learn Latin. An Italian MOOC Conclusion
TourInteractive visualization Comments about this visualization Form for posting a new comment Detail of a comment contributed by anonymous user Screenshot showing part of the collection of visualizations on the siteConnectivism: Learning theory of the future or vestige of the past? | KopRita KopUniversity of Wales Swansea Adrian HillOpen School BC, Canada Abstract Siemens and Downes initially received increasing attention in the blogosphere in 2005 when they discussed their ideas concerning distributed knowledge. An extended discourse has ensued in and around the status of ‘connectivism’ as a learning theory for the digital age. Keywords: e-Learning; online learning; open learning; distance education; pedagogy; learning theory; educational theory Introduction To what extent do existing learning theories meet the needs of today’s learners, and anticipate the needs of learners of the future? If older theories are to be replaced by connectivism, then what are the grounds for this measure? Overview of Connectivism Connectivism is a theoretical framework for understanding learning. In the connectivist model, a learning community is described as a node, which is always part of a larger network. Learners may transverse networks through multiple knowledge domains. Figure 1.
SCoPEWe've talked a lot about different analytics tools. Compiling them into a single list may help. Add any tools or other information about them to the table below. Anyone know of a tool that can extract tags from IM or twitter text by analyzing the text for meaning? There is no "discussion tab" that I can see. Long way: You apply the porter stemmer algorithm to bring each word to their morphological root: Easy way: Paste your text there: create wordle from text. This type of analysis really is by word frequency, avoiding the words that are known to not bear meaning. A real meaning analysis is somewhat more complex.