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Two broad approaches exist for learning technology implementation: The adoption of a centralized learning management approach. This may include development of a central learning support lab where new courses are developed in a team-based approach—consisting of subject matter expert, graphic designers, instructional designer, and programmers. This model can be effective for creation of new courses and programs receiving large sources of funding. Most likely, however, enterprise-wide adoption (standardizing on a single LMS) requires individual departments and faculty members to move courses online by themselves. Support may be provided for learning how to use the LMS, but moving content online is largely the responsibility of faculty. This model works well for environments where faculty have a high degree of autonomy, though it does cause varying levels of quality in online courses. Personal learning environments (PLEs) are a recent trend addressing the limitations of an LMS. Instead of a centralized model of design and deployment, individual departments select from a collage of tools—each intending to serve a particular function in the learning process. Instead of limited functionality, with highly centralized control and sequential delivery of learning, a PLE provides a more contextually appropriate toolset. The greater adaptability to differing learning approaches and environments afforded by PLEs is offset by the challenge of reduced structure in management and implementation of learning. This can present a significant challenge when organizations value traditional lecture learning models.

Self-organised learning networks provide a base for the establishment of a form of education that goes beyond course and curriculum centric models, and envisions a learner-centred and learner controlled model of lifelong learning. In such learning contexts learners have the same possibilities to act that teachers and other staff members have in regular, less learner-centred educational approaches. In addition these networks are designed to operate without increasing the workload for learners or staff members.

Instead of learning housed in content management systems, learning is embedded in rich networks and conversational spaces. The onus, again, falls on the university to define its views of learning.

Connectivism could benefit

all other learners who would like to develop higher order learning skills in their life-long learning journeys.

As most adult learners could be confused by the complexity of learning whilst immersed in learning networks (internet and webs), especially if they are exposed to such learning environment as “novice”, some would doubt about their perceived “digital migrant” status,

How can learning - something so basic that infants and animals can do it - defy explanation?

Neither of these theories, however, is sufficient to represent the nature of learning in the online world. There is an assumption in both theories that the learning process should happen organically but that knowledge, or what is to be learned, is still something independently verifiable with a definitive beginning and end goal determined by curriculum.

The rhizome metaphor, which represents a critical leap in coping with the loss of a canon against which to compare, judge, and value knowledge, may be particularly apt as a model for disciplines on the bleeding edge where the canon is fluid and knowledge is a moving target.

The combination of these origins suggests a relationship of knowledge, power, and agency that is grounded in both the social and the political spheres. Knowledge represents “positions from which people make sense of their worlds and their place in them, and from which they construct their concepts of agency, the possible, and their own capacities to do” (Stewart 2002, 20).

There are two goals supported in the connectivism learning theory, according to Downes:  The ability to grow and foster a network of connections.  The ability to develop a successful, robust, trustworthy network.

That makes what Siemens calls the “know-where” knowledge (“the understanding of where to find [needed] knowledge”)  much more important than “know-how” and “know-what.”

perhaps it is time for us to begin contributing to Wikipedia and adding links to those sources we wish our students would also visit in a quest to solve problems and expand their learning.