World of Philosophy

Author(s): Christopher Key Chapple, Intaj Malek, Dilip Charan, Sunanda Shastri, Prashant Dave
Publisher: Shanti Prakashan

Page 462

their memory skills because of the vast amount of information storage and distribution capacity available. While some selectivity is undoubtedly required when choosing facts to be "learned by heart", there are numerous examples of the human memory's ability to outperform computers when it comes to establishing connections between memorized facts that apparently have very little to do with each other. The specifically human ability of associative memorization is not something that can be reduced to an automatic process; it has to be carefully cultivated. Furthermore, specialists in this field agree that memory skills have to be developed from infancy and that it is dangerous to discontinue various traditional exercises in schools simply because they are considered to be boring.
Thinking is something children learn first from their parents and then from their teachers. The process should encompass both practical problemsolving and abstract thought. Both education and research should therefore combine deductive and inductive reasoning, which are often claimed to be opposing processes. While one form of reasoning may be more appropriate than the other, depending on the subjects being taught, it is generally impossible to pursue a logical train of thought without combining the two.
The process of learning to think is a lifelong one and can be enhanced by every kind of human experience. In this respect, as people's work becomes less routine, they will find that their thinking skills are increasingly being challenged at their place of work.
2.
Learning to do:
This question is closely associated with the issue of occupational training: how do we adapt education so that it can equip people to do the types of work needed in the future? Here we should draw a distinction between industrial economies, where most people are wage-earners, and other economies where self-employment or casual work are still the norm.
In societies where most people are in paid employment, which have developed throughout the Twentieth century based on the industrial model, automation is making this model increasingly "intangible". It emphasizes the knowledge component of tasks, even in industry, as well as the importance of services in the economy. The future of these economies hinges on their ability to turn advances in knowledge into innovations that will generate new businesses and new jobs. "Learning to do" can no longer mean what it did when people were trained to perform a very specific physical task in a manufacturing process. Skill training therefore has to evolve and become more than just a means of imparting the knowledge needed to do a more or less routine job.
From certified skills to personal competence
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