Skip to main content

Big Data Analytics in the Higher Education: Need of the Future

  • Conference paper
  • First Online:
Advances in Communication, Cloud, and Big Data

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 31))

Abstract

The twenty-first century can be said as the era of engulfing data. From social networking sites to politics, from businesses to education, all sectors of the modern world are flooded with voluminous data. As Alan Kay quotes “this is the century in which you can be proactive about the future; you don’t have to be reactive”, big data analytics can be the tool and the need of the future to predict the trends, detect the challenges, and leverage the opportunities. Among various sectors like business, social networks, entertainment, politics, educational institutions are seen and expected socially to be more transparent and accountable. With these growing concern and hunger for the academic excellence both to individuals and institutions as well, it becomes inevitable to implement big data analytics in the educational institutions. Its proper implementation can bring the revolutionary development on the education sector. Instead of some inherent challenges, big data analytics can represent customized learning environments to the learners, can reduce potential dropouts, lower the academic risks, complexity could be reduced and can enhance the quality of education system as a whole. The main objective of this paper is to highlight on the emergent need and scope of big data analytics in the educational sector.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Tulasi B (2013) Significance of Big Data and analytics in higher education. Int J Comput Appl 68(14):0975–8887

    Google Scholar 

  2. Big Data (2011) The next frontier for innovation, competition and productivity. James Maniyka, Executive summary, McKinsey Global Institute. http://www.mckinsey.com/mgi/publication/big.data/MGI_big_data_exec_summary.pdf

  3. Anirban S (2014) Big Data analytics in the education sector: needs, opportunities and challenges. Int J Res Comput Commun Technol 3(11)

    Google Scholar 

  4. Shen L et al (2009) Affective e-learning: using “emotional” data to improve learning in pervasive learning environment. J Educ Technol Soc 12(2)

    Google Scholar 

  5. https://www.slideshare.net/asertseminar/big-data-34369979

  6. https://upload.wikimedia.org/wikipedia/en/1/11/Anthony-triangle.JPG

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Praveen Mukhia Titimus .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Titimus, P.M. (2019). Big Data Analytics in the Higher Education: Need of the Future. In: Sarma, H., Borah, S., Dutta, N. (eds) Advances in Communication, Cloud, and Big Data. Lecture Notes in Networks and Systems, vol 31. Springer, Singapore. https://doi.org/10.1007/978-981-10-8911-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-8911-4_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8910-7

  • Online ISBN: 978-981-10-8911-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics