Role of Data Mining in Redesigning the Existing Curriculum: A Survey Based Literature Review
Keywords:
Data mining, Python, Machine Learning, Revamping curriculum, Data-driven technologies.Abstract
Considering the rapid rate with which educational paradigms change, the curriculum must be continually enhanced to adapt to students varied and ever-changing requirements. Within the context of this transformative management, data mining emerged as an essential resource due to its tremendous capacity for analysis. This comprehensive literature review examines the role that data mining performs in redesigning existing educational curricula, emphasizing its application to understanding patterns of learning, predicting academic achievement, and personalizing educational experiences.
References
C. Romero and S. Ventura, “Educational data mining: A review of the state of the art,” IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, vol. 40, no. 6. 2010. doi: 10.1109/TSMCC.2010.2053532.
G. Siemens and P. Long, “ERIC - Penetrating the Fog: Analytics in Learning and Education, EDUCAUSE Review, 2011,” EDUCAUSE Review, vol. 46, no. 5, 2011.
M. J. Zaki Wagner Meira Jr, “Data Mining and Analysis: Fundamental Concepts and Algorithms.”
