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Article . 2021
License: CC BY
Data sources: Datacite
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Article . 2021
License: CC BY
Data sources: Datacite
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TRAINING NEEDS ASSESSMENT OF TEACHERS AND ACADEMICS OF INDIRA GANDHI NATIONAL OPEN UNIVERSITY

Authors: Dr. Pulla Lakshmi & Dr. G. Mythili;

TRAINING NEEDS ASSESSMENT OF TEACHERS AND ACADEMICS OF INDIRA GANDHI NATIONAL OPEN UNIVERSITY

Abstract

This paper seeks to identify the training needs of teachers and academics of Indira Gandhi National Open University. This is in tandem with the ‘skill-development program’, a vision document of the Government of India. This study is aimed at renewing the skill-set of the experienced dispersers of knowledge, namely, the teachers and academics of IGNOU. With regards to the approach adopted to undertake this study, it can be understood as having adhered to making ‘democratic ethos’, a central component of this research. This was done by involving the participants to the extent of providing them with the platform to suggest the topics and issues for forthcoming training needs programs. Such a study, aimed at providing a list of demand-based training programmes can be beneficial on a number of fronts, to name a few, it will ensure that the participants devote their energy towards a training that caters to introducing/improving the skill-set that is of actual use to them, and also to that of ensuring that the resources of the university are put to proper use. Hence, training needs analysis is essential for the successful running of any university.

Keywords

Teachers, academics, Open and Distance Learning (ODL), IGNOU, Training Needs Assessment (TNA), capacity building, demand-based.

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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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