Volume 1, Issue 1, 2021
Articles

Analysis of Smart Learning Architecture

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  • Mary N. Peter,
  • Kalaiselvi K.,
  • Gopika S.
Mary N. Peter
Department of Computer Science, Kristu Jayanti College, Bengaluru
Kalaiselvi K.
Department of Computer Science, Kristu Jayanti College, Bengaluru
Gopika S.
Department of Computer Science, Kristu Jayanti College, Bengaluru
DOI: https://doi.org/10.59176/kjcs.v1i1.1265

Published 2020-11-03

Keywords

  • Learning, Mobile-Based Learning, Smart Watch, Cloud-Based Communication.

How to Cite

Peter, M. N., K., K., & S., G. (2020). Analysis of Smart Learning Architecture. Kristu Jayanti Journal of Computational Sciences (KJCS), 1(1), 37–42. https://doi.org/10.59176/kjcs.v1i1.1265
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Abstract

With the growing progress and embracing of smart digital technology integration for education, large amount of data is collected from informative backgrounds which has been analyzed and given motivational perceptions to the educational worker. The data-driven method for improved understanding and enhancing knowledge together with the learning situation paves the way for learning analytics to contribute to smart learning. The current learning analytics lacks knowledge awareness, an essential component in smart education—this paper analysis the smart leaning mechanism and reviews the smart leaning application development tool. The survey has been taken based on the questionnaire related to smart learning with the respondents of 100 individuals. The paper also highlights the smart classroom integrated technology development towards smart learning architecture. The analysis includes the negative and positive impact of smart application-based learning and cost-effective leaning for the middle-income sectors.

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