Abstract
In this era of social media and internet, it has become possible to harness every possible way of generating data. Today, when most of the data is available in the public domain still it is not an easy task to access it, as mining the large volumes of freely available data requires many technical insights. With the ever-increasing data volumes, the world is moving to a situation of data deluge. With this increasing pace, big data analytics will soon become the epicenter of global growth and policymaking. Today, when the world is slowly moving towards the concept of sustainable development in all domains, the big data analytics can prove to be a path breaking technology in the same direction and can provide handful of solutions for sustainability. This new concept of data analytics has also brought a significant change in the education system. The term education, which was earlier replaced as Smart Education with the advancements in the IoT technology, has now swiftly started moving towards a new concept of sustainable education. This paper discusses the role of big data analytics for developing an industry oriented education system leading to the concept of a sustainable education.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ahad, M.A., Tripathi, G., Agarwal, P.: Learning analytics for IoE based educational model using deep learning techniques: architecture, challenges and applications. Smart Learn. Environ. 5(1), 7 (2018)
Preston, A., Lazem, S., Kharrufa, A., Pursglove, B., Olivier, P.: Supporting the smart teacher: an agenda for the use of embedded sensing in novel learning spaces. Smart Learn. Environ. 5(1), 19 (2018)
Tripathi, G., Ahad, M.A.: IoT in education: an integration of educator community to promote holistic teaching and learning. In: Soft Computing in Data Analytics, pp. 675–683. Springer, Singapore (2019)
Gandomi, A., Haider, M.: Beyond the hype: Big data concepts, methods, and analytics. Int. J. Inf. Manag. 35(2), 137–144 (2015)
Raghupathi, W., Raghupathi, V.: Big data analytics in healthcare: promise and potential. Health Inf. Sci. Syst. 2(1), 3 (2014)
Michalik, P., Štofa, J., Zolotova, I.: Concept definition for big data architecture in the education system. In: 2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 331–334. IEEE (2014)
Chen, M.H., Wu, Y., Tsai, K.M.: Building an industry-oriented business sustainability curriculum in higher education. Sustainability 10(12), 4698 (2018)
United Nations Educational Scientific and Cultural Organization: Media as partners in education for sustainable development: a training and resource kit. UNESCO, Paris, France (2008)
Picciano, A.G.: The evolution of big data and learning analytics in American higher education. J. Asynchronous Learn. Netw. 16(3), 9–20 (2012)
van Barneveld, A., Arnold, K.E., Campbell, J.P.: Analytics in higher education: establishing a common language. Educause (2012)
Meenakumari, J., Kudari, J.M.: Learning analytics and its challenges in education sector a survey. Int. J. Comput. Appl. 0975-8887 (2015)
Cilliers, P.: Complexity and postmodernism: Understanding complex systems. Routledge, London (1998)
Churchman, C.W.: Free for all. Manag. Sci. 14, B141–B142 (1967)
Head, B.W., Alford, J.: Wicked problems: implications for public policy and management. Adm. Soc. 47(6) (2012). https://doi.org/10.1177/0095399713481601
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Tripathi, G., Haq, Z.A. (2020). Big Data Analytics for Industry Oriented Education System: An Evolution of Sustainable Education Model. In: Singh, P., Panigrahi, B., Suryadevara, N., Sharma, S., Singh, A. (eds) Proceedings of ICETIT 2019. Lecture Notes in Electrical Engineering, vol 605. Springer, Cham. https://doi.org/10.1007/978-3-030-30577-2_57
Download citation
DOI: https://doi.org/10.1007/978-3-030-30577-2_57
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30576-5
Online ISBN: 978-3-030-30577-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)