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Information and Communication Technology pp 269–277Cite as

Academic Analytics Implemented for Students Performance in Terms of Canonical Correlation Analysis and Chi-Square Analysis

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 625))

Abstract

In this research study, we were interested to test the significant association between selected variables which otherwise called as invisible and have indirect impact on the performance of the students. We have devised out our own dataset for the experimental purpose. Our study has made these variables and their relationship visible. The results enable us to determine characteristics of learning environment related to performance.

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Author information

Authors and Affiliations

  1. School of Mathematical Sciences, S.R.T.M. University, Nanded, 431606, Maharashtra, India

    Aniket Muley

  2. School of Computational Sciences, S.R.T.M. University, Nanded, 431606, Maharashtra, India

    Parag Bhalchandra & Pawan Wasnik

  3. School of Educational Sciences, S.R.T.M. University, Nanded, 431606, Maharashtra, India

    Mahesh Joshi

Authors
  1. Aniket Muley
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  2. Parag Bhalchandra
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  3. Mahesh Joshi
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  4. Pawan Wasnik
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Corresponding author

Correspondence to Aniket Muley .

Editor information

Editors and Affiliations

  1. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology Microsoft Innovation Centre, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  2. Faculty of Computers and Information, Banha University Faculty of Computers and Information, Banha, Egypt

    Ahmad Taher Azar

  3. Sabar Institute of Technology, Asst. Prof., Dept. of Info. Tech. Sabar Institute of Technology, Gujarat, Gujarat, India

    Amit Joshi

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Muley, A., Bhalchandra, P., Joshi, M., Wasnik, P. (2018). Academic Analytics Implemented for Students Performance in Terms of Canonical Correlation Analysis and Chi-Square Analysis. In: Mishra, D., Azar, A., Joshi, A. (eds) Information and Communication Technology . Advances in Intelligent Systems and Computing, vol 625. Springer, Singapore. https://doi.org/10.1007/978-981-10-5508-9_26

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  • DOI: https://doi.org/10.1007/978-981-10-5508-9_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5507-2

  • Online ISBN: 978-981-10-5508-9

  • eBook Packages: EngineeringEngineering (R0)

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