Abstract
This research paper deals with executing a task to examine contextual relevance of ICT-CALL modules in promoting employability skills among engineering students. This empirical study is based on ensuing perceptions of the learners in the context of imparting useful communication skills promoting employability skills through the ICT-CALL modules. This study probes mainly on how these skills enable individual interest in encouraging skills among the students based on the data collected from the students as a pilot study in one of the reputed national institutes of technologies in India. Theoretical groundwork for task has been demonstrated to the respondents. This task emphasizes mainly on the use of the learning modules and activities practiced in the language labs in promoting employability skills and to propose appropriate recommendations as well. This research asserts to be pragmatic, aiming to meet the objectives of the study, and this study is confined to the data collected from the 30 engineering students from one of the technology institutes in the state of Chhattisgarh in India.
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References
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Acknowledgements
The author expresses his heartfelt thanks to the honorable Director, Dean R & C and Head Department of HSS for their encouragement and support for writing this research paper as the part related to the SEED project. Sponsoring Agency: National Institute of Technology, Raipur, India, Project No: NITRR/Seed Grant/2016-17/007.
The questionnaire is framed and administered to the under graduate students studying engineering from the National Institute of Technology Raipur, Chhattisgarh, India. The author is a faculty member in the same institute. The questionnaire is framed as a part of above said project sanctioned from the same institute where there is no additional approval required for the project. The author is sole responsible for the statement.
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Babu, Y.V. (2020). Contextual Relevance of ICT-CALL Modules and Its Role in Promoting Employability Skills Among Engineering Students—A Study. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-13-9364-8_4
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DOI: https://doi.org/10.1007/978-981-13-9364-8_4
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