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Article . 2022
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Learning is an indispensable part of any individual's life.

Authors: Dr. VISHAL VILAS GHAG;

Learning is an indispensable part of any individual's life.

Abstract

Learning is an indispensable part of any individual’s life. Mental development is important not only for the progress of individuals, but also for organizations and in turn the society. However, adequate emphasis is not being laid on developing newer training & development models that incorporate the dynamically changing needs of the generation. The thesis brings into perspective a side of training models, which has been side-lined in the Indian education system. In case of every individual, learning is a process affected by several entities together viz. parents, friends and family, teachers, neighbors, media and society at large. They are to be considered as learning inputs for an individual in this study. After analyzing the effect of each of these major inputs from a psychodynamic standpoint, some gaps in learning were observed. Post this analysis, two new models have been developed and the researcher proposes these models to be used by institutions, organizations and individual trainers for reference while designing training programs. However, since the standard of living and psychology differs from society to society, these models would rely on the ability of trainers to adapt the models suitable for their target audience. For the first phase of research, the only focus here is on India and its learning systems.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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