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This article, by George Siemens, describes the learning theory of Connectivism. The article begins by discussing the need for a new learning theory for the Digital Age. The author identifies some significant trends in learning and then analyzes the limitation of prior learning theories such as behaviorism, cognitivism, and constructivism. The principles of Connectivism are described and it's implications are discussed.

I appreciated the perspective offered in this item. There seems to be serious discussion as to whether or not connectivism is theory in and of itself, or if it is a component of learning theories that are already well established. I loved the last line in which the author emphasized the ease of access we now have to information as a result of our connections. "When knowledge, however, is needed, but not known, the ability to plug into sources to meet the requirements becomes a vital skill. As knowledge continues to grow and evolve, access to what is needed is more important than what the learner currently possesses."

This article does an exceptional job of explaining traditional learning theories limitations in the modern world and highlighting the current need to understand connectivism. The article is summed up by stating that it isn't what you know today but what you are able to learn to do tomorrow. I found this article very direct and effective in understanding the current state of what's needed in the educational environment to prepare students for the work force.

This work looks at what Connectivism is, especially as an alternative to the learning theories of behavioralism, cognitivism, and constructivism. It holds that the advent and integration of technology has changed learning.

What is Connectivism? According to this article, it is a new learning theory that incorporates the constantly changing state of knowledge and the digital age. Technology is constantly updating, and they say your software is outdated within months of acquiring. According to this article, something similar can be said of knowledge acquisition. Because sources of information are changing and developing at a rapid rate, our knowledge gained has a half-life. One way to combat the "half-life of knowledge" is to stay connected (via the internet or other forms of digital networks), and view learning as a life-long process. In fact, most learning does not take place within a classroom; instead, it occurs in real-life, learner driven environments. Hence the rise of Connectivism as a viable (new) learning theory. People form connections. People use technology daily. Knowledge is constantly changing. Therefore, learning theory should also change and adapt.

Written by George Siemens, this article outlines the necessity of a new learning theory that addresses the impact of the Web 2.0. By explaining behaviorism, cognitivism, and constructivism, Siemens provides the argument for connectivism in the digital world. The article is a starting point for anyone who needs a working definition of connectivism or wants to compare it to other prominent learning theories. He presents the idea that "the pipe is more important than the content within the pipe."

What really struck me about this article was the idea that knowledge has a half-life. That is to say how long does it take before it's obsolete. According to this, knowledge now doubles every year and a half. The question becomes what do we do about that? I mentioned in the previous entry that our networks become our receptacles of knowledge. That's part of the solution that's introduced in more detail in this article. Below, you'll find a list of the principles of connectivism. It was a good refresher for me, so I included the definition plus the list: …Connectivism is driven by the understanding that decisions are based on rapidly altering foundations. New information is continually being acquired. The ability to draw distinctions between important and unimportant information is vital. The ability to recognize when new information alters the landscape based on decisions made yesterday is also critical. Principles of connectivism: ▪ Learning and knowledge rests in diversity of opinions. ▪ Learning is a process of connecting specialized nodes or information sources. ▪ Learning may reside in non-human appliances. ▪ Capacity to know more is more critical than what is currently known ▪ Nurturing and maintaining connections is needed to facilitate continual learning. ▪ Ability to see connections between fields, ideas, and concepts is a core skill. ▪ Currency (accurate, up-to-date knowledge) is the intent of all connectivist learning activities. ▪ Decision-making is itself a learning process. Choosing what to learn and the meaning of incoming information is seen through the lens of a shifting reality. While there is a right answer now, it may be wrong tomorrow due to alterations in the information climate affecting the decision.

An introduction to why behaviorism, cognitivism, and constructivism, though suitable theories for their time, are no longer suitable bases for learning and teaching.

The authors participated in a MOOC offered by the University of Edinburgh in 2013. The course included digital activities and peer collaboration exercises. Many of the participants enrolled in the course so that they could improve their own instruction in online environments. Through the process the course takers learned that they could use social media platforms for educational purposes. As they participated they ended up forming PLNs among themselves and other participants. With this article, the authors offered their experiences of how they realized the full potential benefits of MOOCs and social media for educators.