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Enhancing Job Opportunities in Rural India Through Constrained Cognitive Learning Process: Reforming Basic Education

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Intelligent Systems Design and Applications (ISDA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 736))

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Abstract

Technological advancements in cognitive learning suggest significant changes in methods of teaching and learning process. A Constrained Cognitive Learning (CCL) model links various forms of cognitive learning methods with a restrictive domain. The main objective of this research study is to propose a CCL scheme that integrates cognitive learning theories and instructional prescriptions to achieve an effective learning environment for the basic education system in rural India. It improves both knowledge acquisition and employment in optimized way. Furthermore, our objective is that, the proposed research contributes in promoting the dialogue between professional learners, academic researchers and practitioners that increasingly brings empirical educational and research orientation into the contemporary educational environment across the rural India. Our focus is to plan such a cognitive learning environment so that the learner not only acquire knowledge but also improve their cognitive abilities to apply their knowledge for the employment and extend their knowledge depth to move towards research oriented innovative skills.

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Correspondence to Abhishek Bajpai .

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Nigam, S., Bajpai, A., Gupta, B. (2018). Enhancing Job Opportunities in Rural India Through Constrained Cognitive Learning Process: Reforming Basic Education. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_1

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  • DOI: https://doi.org/10.1007/978-3-319-76348-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76347-7

  • Online ISBN: 978-3-319-76348-4

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