This chapter has discusses about the significance of the BigData especially from the context of the educational section. The discussion says that modern education systems are increasingly adopting cloud-services that lead to enormous rise of educational data. Such data are characterized by massiveness in size, high dimensionality, and 5 V of BigData. Owing to such problems, the educational data are not utilized after it is being stored. Although there are some of the research attempts towards educational datamining and BigData analytics, but still simplicity, preciseness, and validation of such framework is missing. Hence, the chapter introduces a simple operational management framework that can efficiently use the educational based BigData.


Alam, G. M., Hoque, K. E., & Oke, O. K. (2010). Quest for a better operation system in education: Privatization and teacher educationalization or voucherilization glimpsing from consumer and product perspectives. African Journal of Business Management, 4(6), 1202-1214.

Ali, M. M. (2013). Role of data mining in education sector. International Journal of Computer Science and Mobile Computing, 2(4), 374-383.

Aqdam, B. A., & Bonab, M. B. (2014). Possible Evaluation Replacement of Supporting Decision Systems in Administrative Education System in Sarab Town. Academic Press.

Bernbaum, M., & Moses, K. (2011). Education Management Information Systems. Education Policy and Data Center.

Brown, C. A. (2014). Globalization, International Education Policy and Local Policy Formation: Voices from the Developing World. Springer.

Daniel, B. (2014). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology. doi:10.1111/bjet.12230

Drigas, A.S., & Leliopoulos, P. (2014). The Use of Big Data in Education. International Journal of Computer Science Issues, 11(5).

Ellison, R. (2004). Scoping exercise for possible work by DFID on Education Management Information Systems. Academic Press.

Fernandez, A., Peralta, D., Benitez, J. M., & Herrera, F. (2014). E-learning and educational data mining in cloud computing: An overview. International Journal of Learning Technology, 9(1), 25. doi:10.1504/IJLT.2014.062447

Harrison, G. (2012). Outdoor Program Administration: Principles and Practices.

Business Economics (Cleveland, Ohio), 406.

Holley, K., Sivakumar, G., & Kannan, K. (2014). Enrichment Patterns for Big Data. IEEE International Congress on Big Data.

Johnson, J.A. (2014). The Ethics of Big Data in Higher Education. International Review of Information Ethics.

Kats, Y. (2013). Learning Management Systems and Instructional Design: Best Practices in Online Education. Education, 367.

MacHardy, Z., & Pardos, Z. A. (2015). Evaluating The Relevance of Educational Videos using BKT and Big Data.Proceedings of the 46th ACM Technical Symposium on Computer Science Education.

Nolan, C. J. P., Ayres, D. A., & Mckinnon, D. H. (1997). An operational model for the implementation of computerised school information systems. Massey University. doi:10.1007/978-0-387-35090-5_12

Panneerselvam, R. (2012). Production and Operations Management. Business Economics (Cleveland, Ohio), 720.

Papamitsiou, Z., & Economides, A. A. (2014). Learning Analytics and Educational data mining in Practice: A Systematic Literature Review of Empirical Evidence. Journal of Educational Technology & Society, 17(4), 49-64.

Prakash, B. R., Hanumanthappa, M., & Kavitha, V. (2014). Big Data in Educational Data Mining and Learning Analytics. International Journal of Innovative Research in Computer and Communication Engineering, 2(2).

Ramasubramanian, P., Iyakutti, K., & Thangavelu, P. (2009). Enhanced data mining analysis in higher educational system using rough set theory. African Journal of Mathematics and Computer Science Research, 2(9), 184-188.

Seay, C. (2015). Using Hadoop on the Mainframe: A Big Solution for the Challenges of Big Data. IEEE International Information Technology, 765-769.

Sivaraman, E. (2014). High Performance and Fault Tolerant Distributed File System for Big Data Storage and Processing Using Hadoop.IEEE International Conference on Intelligent Computing Application. doi:10.1109/ICICA.2014.16

Sqalli, M. H., Al-Saeedi, M., Binbeshr, F., & Siddiqui, M. (2012). UCloud: A simulated Hybrid Cloud for a university environment.IEEE International Conference on Cloud Computing. doi:10.1109/CloudNet.2012.6483678

Sun, Y., & Han, J. (2012). Mining Heterogeneous Information Networks: A Structural Analysis Approach. ACM SIGKDD Exploration Newsletter., 14(2), 20-28. doi:10.1145/2481244.2481248

Thakar, P., & Mehta, A., Manisha. (2015). Performance Analysis and Prediction in Educational Data Mining: A Research Travelogue. International Journal of Computers and Applications, 770(15).

UNESCO. (2011). Transforming Education: The Power of ICT Policies. Education, 237.

Wang, B., & Xing, H. Y. (2011). The application of cloud computing in education informatization. In Computer Science and Service System (pp. 2673-2676). CSSS.

Zhao, Z. (2015). Visualization of HashStash with Qt. (Masters Thesis). Brown University.

< Prev   CONTENTS   Source   Next >