Digital Educational Industry vis-à-vis Education Analytics and Big Data Analytics: A Conceptual Study

by Ritam Chatterjee
Department of Computer and Information Science, Raiganj University, West Bengal, India

10.46679/978819573220312

Chatterjee, R. (2023). Digital Educational Industry vis-à-vis Education Analytics and Big Data Analytics: A Conceptual Study. In P.K. Paul, S. Sharma, E. Roy Krishnan (Eds.), Advances in Business Informatics empowered by AI & Intelligent Systems (pp 173-186). CSMFL Publications. https://dx.doi.org/10.46679/978819573220312

Abstract

Education Analytics is one of the important aspects of the teaching and learning process at present time. Different analytical techniques are able to predict the future performance of a learner. Education Analytics gives a predictive report on data collected through different sources like-Online Based Learning, Blended Learning, Massive Open Online Learning (MOOC), Learning Management System (LMS), Course Management System, Content Management System and so on. It also collected data from social networking sites. In this chapter, the concept of Education Analytics has been discussed. Education Analytics has different stakeholders. The stakeholders of the Education Analytics have shown here diagrammatically. Various basic and emerging Technologies used in digital education has discussed in brief. The concepts of Education Analytics and the Education sector have been given an overview in this chapter. The various benefits of Education Analytics have discussed here. The challenges faced in implementing Education Analytics have also been discussed here.

Keywords: Learning Analytics, Big Data Analytics, Data mining, Data Collection, Education Analytics

This work is a part of: Advances in Business Informatics empowered by AI & Intelligent Systems (Eds. P.K. Paul, Sushil Sharma, Edward Roy Krishnan)

© CSMFL Publications & its authors.

References

  1. Arroway, P., Morgan, G., O’Keefe, M., & Yanosky, R. (2015). Learning analytics in higher education (p. 17). Research report. Louisville, CO: ECAR, March 2016. 2016 EDUCAUSE.
  2. Baepler, P., & Murdoch, C. (2010). Academic Analytics and Data Mining in Higher Education. International Journal for the Scholarship of Teaching and Learning, 4(2). https://doi.org/10.20429/ijsotl.2010.040217
  3. Chiang, R. H. L., Goes, P., & Stohr, E. A. (2012). Business Intelligence and Analytics Education, and Program Development. ACM Transactions on Management Information Systems, 3(3), 1–13. https://doi.org/10.1145/2361256.2361257
  4. Daniel, B. (2014). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904–920. https://doi.org/10.1111/bjet.12230
  5. Ellaway, R. H., Pusic, M. V., Galbraith, R. M., & Cameron, T. (2014). Developing the role of big data and analytics in health professional education. Medical Teacher, 36(3), 216–222. https://doi.org/10.3109/0142159x.2014.874553
  6. Gagliardi, J., Parnell, A., & Carpenter-Hubin, J. (2018). The Analytics Revolution in Higher Education. Change: The Magazine of Higher Learning, 50(2), 22–29. https://doi.org/10.1080/00091383.2018.1483174
  7. Hua Chen, S., Tso Lin, H., & Tau Lee, H. (2004). Enterprise partner selection for vocational education: analytical network process approach. International Journal of Manpower, 25(7), 643–655. https://doi.org/10.1108/01437720410563980
  8. Kay, D., Korn, N., & Oppenheim, C. (2012). Legal, risk and ethical aspects of analytics in higher education. Analytics series.
  9. Leitner, P., Khalil, M., & Ebner, M. (2017). Learning Analytics in Higher Education—A Literature Review. Learning Analytics: Fundaments, Applications, and Trends, 1–23. https://doi.org/10.1007/978-3-319-52977-6_1
  10. MacNeill, S., Campbell, L. M., & Hawksey, M. (2014). Analytics for Education. Journal of Interactive Media in Education, 2014(1), 7. https://doi.org/10.5334/2014-07
  11. Nguyen, A., Gardner, L., & Sheridan, D. (2020). Data analytics in higher education: An integrated view. Journal of Information Systems Education, 31(1), 61.
  12. Norris, D., Baer, L., Leonard, J., Pugliese, L., & Lefrere, P. (2008). Action analytics: Measuring and improving performance that matters in higher education. EDUCAUSE review, 43(1), 42.
  13. Paul, P., Bhimali, A., Kalishankar, T., Aithal, P. S., & Rajesh, R. (2018). Digital Education and Learning: The Growing Trend in Academic and Business Spaces—An International Overview. International Journal on Recent Researches in Science, Engineering & Technology (IJRRSET), 6(5), 11-18.
  14. Paul, P., Bhuimali, A., & Aithal, P. S. (2017). Indian higher education: With slant to information technology—a fundamental overview. International Journal on Recent Researches In Science, Engineering & Technology, 5(11), 31-50.
  15. Paul, P. K. (2021). Digital Education: From the Discipline to Academic Opportunities and Possible Academic Innovations—International Context and Indian Strategies. Digital Education for the 21st Century, 255–281. https://doi.org/10.1201/9781003180517-11
  16. Paul, P. Kr., & Dangwal, K. L. (2014). Cloud Based Educational Systems And Its Challenges And Opportunities And Issues. Turkish Online Journal of Distance Education, 15(1). https://doi.org/10.17718/tojde.71698
  17. Picciano, A. G. (2012). The Evolution of Big Data and Learning Analytics in American Higher Education. Online Learning, 16(3). https://doi.org/10.24059/olj.v16i3.267
  18. Pozdeeva, E., Shipunova, O., Popova, N., Evseev, V., Evseeva, L., Romanenko, I., & Mureyko, L. (2021). Assessment of Online Environment and Digital Footprint Functions in Higher Education Analytics. Education Sciences, 11(6), 256. https://doi.org/10.3390/educsci11060256
  19. Rothschild, M., & White, L. J. (1995). The Analytics of the Pricing of Higher Education and Other Services in Which the Customers Are Inputs. Journal of Political Economy, 103(3), 573–586. https://doi.org/10.1086/261995
  20. Sclater, N. (2017). Learning Analytics Explained. Routledge. https://doi.org/10.4324/9781315679563
  21. Sin, K., & Muthu, L. (2015). “Application Of Big Data In Education Data Mining And Learning Analytics – A Literature Review “. ICTACT Journal on Soft Computing, 05(04), 1035–1049. https://doi.org/10.21917/ijsc.2015.0145
  22. Tomkin, J. H., West, M., & Herman, G. L. (2018). An Improved Grade Point Average, With Applications to CS Undergraduate Education Analytics. ACM Transactions on Computing Education, 18(4), 1–16. https://doi.org/10.1145/3157086
  23. Tsai, Y.-S., & Gasevic, D. (2017). Learning analytics in higher education — challenges and policies. Proceedings of the Seventh International Learning Analytics & Knowledge Conference. https://doi.org/10.1145/3027385.3027400
  24. Tulasi, B. (2013). Significance of Big Data and Analytics in Higher Education. International Journal of Computer Applications, 68(14), 21–23. https://doi.org/10.5120/11648-7142
  25. Wu, J. Y., Yang, C. C., Liao, C. H., & Nian, M. W. (2021). Analytics 2.0 for precision education. Educational Technology & Society, 24(1), 267-279.

[email protected]

Follow us @