From Human System Bio-based Knowledge Management toward Nature Knowledge Theory
TYPES OF LEARNING
There are three types of learning. Human learning, Organizational learning as well as Machine (Techno) learning. Toward process acquisition of knowledge they both should in states of learning to becoming Learning Human, Learning Organization as well as Learning Machine respectively.
Learning itself in broad meaning is the process of transforming physical evidence to data to information to knowledge to wisdom and beyond within DIKW continuum ( source : http://mobeeknowledge.ning.com/forum/topics/we-are-the-knowledge-hybrid )
HUMAN LEARNING
Description of Human Learning through Mobee Knowledge’s version, essentially comprising 3 kinds of learning theories : Know-What, Know-How and Know-Where Learning respectively (source : http://mobeeknowledge.ning.com/forum/topics/preparing-mobile-elearning-20 ). The following is in brief :
ORGANIZATIONAL LEARNING
Organizational learning is an area of knowledge within organizational theory that studies models and theories about the way an organization learns and adapts.
en.wikipedia.org/wiki/Organizational_learning
Organizational Learning best described by Peter Senge's Fifth Discipline comprising Personal Mastery, Mental Models, Shared Vision, Team Learning and Systems Thinking ( http://mobeeknowledge.ning.com/forum/topics/there-is-no-convergence-of-km )
TECHNO LEARNING
Techno or Machine learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases. A major focus of techno learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data; the difficulty lies in the fact that the set of all possible behaviors given all possible inputs is too complex to describe generally in programming languages, so that in effect programs must automatically describe programs. Artificial intelligenceis a closely related field, as also probability theory and statistics, data mining, pattern recognition, adaptive control, and theoretical computer science. ( http://en.wikipedia.org/wiki/Machine_learning )
DOMAIN OF LEARNING WITHIN KNOWLEDGE MANAGEMENT
The domain of Human Learning – Organization Learning –and Machine Learning in conjunction with our Human System Biology-based KM (HSBKM) concept as follow :
On our concept of HSBKM refer to http://mobeeknowledge.ning.com/forum/topics/mobee-knowledge-human-system?xg_source=activity or to our Knowledge-base http://delicious.com/mobeeknowledge/humansystembiology (25 articles) and http://delicious.com/mobeeknowledge/kmtools+kmprocessframework+kmstandards (35 articles)
THE DIAGRAM MATRIX
( see the Attachment : Bloom’s Taxo and KM relationship)
THE IMPLICATIONS
Deducting from http://mobeeknowledge.ning.com/forum/topics/blooms-taxonomy-knowledge-and - “BLOOM’S TAXONOMY, KNOWLEDGE AND KM REVISITED : SHOULD DIKW MODEL TRANSFORMED INTO DI-KW MODEL?” – Especially the Attachment:
Bloom's Taxo related with Knowledge and KM ( DI-KW separated model).pdf * ,
*C = Cognitive domain ranging from C1 – C6
A = Affective domain ranging from A1 – A5
P = Psychomotor domain ranging from P1 – P7
Your feedback will be appreciated. Thank you
Md Santo
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