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- MBTI
- INFPishy
http://geekswithblogs.net/hdevos/archive/2004/02/08/1926.aspx
This is a topical area of great interest to me and my colleagues. We are in the process of developing a rather large educational resource that relies on an associative informational architecture. Basically, we began by asking two very fundamental questions "how do you know what you know?" and "how do we learn best?"
The answer to the first question is deceptively simple. We know what we know because we are able to create mental links or associations between concepts, sensory inputs, data, etc.with existing reference points. Simple enough.
What we might call traditional learning paradigms rely on a linear learning process or construct. Think in terms of a university text book. Chapter one lays out fundamental concepts, theories or basic building blocks. Chapter two builds on those building blocks and following chapters go into more detail about specific topics. For example, if you wanted to learn about a subject you might check out a library book and skim through chapters until you had a feel for the topic (developed enough associations)and then dig into a particular topic.
Today we live in a search and learn world. In short, we learn through sifting through a large volume of sources, taking in discreet or small amounts of information until we find something that meets our needs. As we go through this process we are able to construct larger meaning out of these small bites of information. There has been some meaningful research into this sort of search and learn process. Some have borrowed a term from manufacturing (just in time production) and applied a new twist by calling this process just-in-time learning. Just in time learning can be thought of as the acquisition of knowledge or skills as they are needed.
To support this sort of learning, information can be better organized by anticipating the sorts of questions or associations that a user/learner may have. Most internet content is still organized in a fairly linear fashion. News sites often include a few hyperlinks to related stories (associations), and while this is a start, it still fairly primitive. The primary reason that better information support does not take place is simply that it is very, very time consuming.
Now, the 2nd question "how do we learn best?" The short answer is through the use of newly acquired information and through exploration. The more senses that can be involved the better (think neuropathway stimulation). A prime example is learning a foreign language. Language learning requires memorization of vocabulary words, sentence structure/patterns,listening, repeating and practice. But in addition, exploration and experimentation is a critical part of the learning process.
At www.3DAuto.com we've incorporated the sort of associative learning process mentioned above through the extensive use of hyperlinking related terms, phrases and concepts. In addition, we have developed an extensive catalog of animations,3d models, interactive models, photos and video.
How does all of this apply and why is it important?
Well, let's assume that you want to learn about an automobile brake, or perhaps you think you may have a problem with the brake system. But let's assume you don't know much about a drum brake. Traditionally you might read a book, see a photo or an exploded diagram and from those references begin to understand how a drum brake works. From the descriptions and diagrams you could create a mental picture of how the drum brake assembly might work. But what if you could watch an animation of a drum brake in action? Perhaps it would be helpful if you could hold one in your hand or disassemble the brake assembly? Maybe you'd like to be able to look at a large photo gallery of various drum brake assemblies and individual parts. Perhaps it might also be helpful to read about the sort of problems that are most common with drum brakes or even see symptoms of problems....I think you get my point.
This is heavy lifting from a development perspective. It is extremely time consuming, exhausting and financially taxing. However, it is our shared belief that in the near future there will be a substantial divide emerge between the current generation of online information structure/learning processes and a much more user-centric model.
In closing, I think associative learning is going to have a big impact on how we all learn in the future. Associative learning creates a big umbrella under which a great deal of exploration, experimentation and development will take place.
Thoughts?