Human Learning


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Children deal with complexity but adults need to learn it

Action-reflection-action is the necessary process to deal with the adaptive aspects of reality and with businesses considered as adaptive entities.

Paradoxically, this process is developed naturally, using intuition, by children, but adults need to recover their capacity of facing reality without fears if they want to develop an action-reflection-action learning process.

Children would not grow if they did not have this capacity, because most of the problems they face are complex for them.

The object driven learning technology defined the structure that allowed making adaptive learning processes accessible for all the people who need to deal with complex problems and are willing to make the effort to solve them.

Indoctrination requires the use of a theory-practice approach in order to install a theory to rule actions; adaptive learning, on the other hand, requires an action-reflection-action and a theory-practice approach. Indoctrination is security driven while adaptive learning is freedom driven.

The unicist learning objects provided an approach to adaptive learning for adults.

The object driven learning technology defines the four levels of objects to be used when integrating problematic with thematic learning.

The four levels of learning objects are:

  1. Learning context building objects
  2. Possibilities opening objects
  3. Reflection driving objects
  4. Research driving objects

This is what the unicist approach to learning is about. The use of learning objects simplifies the adaptive process and provides, on the one hand, a logical security framework to learn and, on the other hand, it allows expanding the boundaries of people’s talents.

Unicist Press Committee

NOTE: The Unicist Research Institute was the pioneer in using the unicist logical approach in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. It has an academic arm and a business arm. http://www.unicist.org/repo/#Unicist

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Value adding: the key for learning processes

Learning processes in adults require the existence of a real problem to be solved. When there is no real problem to be solved, the learning process has no substance and the “knowledge” cannot be stored in the long term memory because it is meaningless.

Learning processes are based on the need to increase the value added to the environment so as to gain a better adaptive position for an individual.

But a learning context is required before a learning process begins.

The unicist maximal strategy of a learning process is given by the need of improvement. The existence of a driver and the real need for improvement provides the will the individual “uses” as a catalyst in order to face and solve the problems of his/her learning process.

Achieving the minimum strategy implies paying the prices to ensure learning. The price to be paid is that the individual needs to leave things aside in order to access the comprehension of a new approach.

Learning implies leaving things aside. If the problem can be solved using the preexisting knowledge there is no need for learning because the problem does not exist. Therefore it is implicit in a learning process for unsolved problems that the individual leaves aside the preexisting approach and enters the comprehension of the new approach without cutting it down to what s/he knew.

Adults only do so when they really need to solve a problem. Improvement is the active function and learning the energy conservation function.

Only people who need to improve will be able to learn. People who enter in a learning process without having a real need to improve in order to solve real problems just enter in self-fulfilling activities.

Diana Belohlavek

NOTE: The Unicist Research Institute was the pioneer in using a logical approach to deal with evolution and became a private global decentralized world-class research organization in the field of human adaptive systems.  http://www.unicist.org

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