Suifaijohnmak’s Weblog

Reflection on learning theories

October 5, 2008 · 2 Comments

I don’t think you could find a perfect learning model.  By the time when you are convinced of a learning model, you may find another one which could explain it better, because of changing environment, technologies, and knowledge.  
Most learning theories are based on the principles that are valid at that moment of history. 
The application of each learning theory will depend on the context (circumstances in which something happens or in which something is to be considered).  It explains some of the everyday happening, but not at all times, and for some situations only, due to everchanging environments, people’s and networks’ level of knowledge, and technologies etc.
So if there is such a theory, I will call it a situational learning theory: situational application of all learning theories.
Each theory could explain some parts of the phenomena, but no theory could explain everything.  See the theory of everything http://en.wikipedia.org/wiki/Theory_of_everything…..and the string theory… http://en.wikipedia.org/wiki/String_theory
Are we going into a similar pathway? Do you want to have a Theory of Every Learning?

So, what I like about connectivism is that it focuses on the continuous enrichment and improvement of knowledge and learning both for the individuals and networks, the collective wisdom, through network learning. 

Such concepts are applied in organisations: they call it organisational learning using knowledge management system and networks.

How does it sound to you?

 

 

 

 

 

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How are emotions distributed in social networks?

October 5, 2008 · 1 Comment

I am thinking about the attitudes (likes/dislikes), and affective domains (emotions such as feelings of love, hatred, joy, fear etc.) that are distributed or communicated (through tones, words, images and emo-icons) in networks.  

Another aspects of virus is that it may change its form and severity when transmitted or contracted, which seems to exhibit some similarities to the changes in knowledge, emotions and feelings amongst people in a social network….

Would a comparison study on the spread of virus and distribution of knowledge and emotions help us in understanding more about network learning?

Has there been any study on this?

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