Preliminary Design of E-learning Learning Resource Interaction Based on Web Data Mining

  • Yujiao Zhang Malaysian University of Science and Technology
  • Ang Weay Malaysian University of Science and Technology
Keywords: Web data mining, E-learning learning resources, Interaction design

Abstract

According to the problems of low resource utilization efficiency, single learning content and lack of personalization in e-learning system, a personalized e-learning system based on Web data mining is designed by applying web mining and ontology technology. The system can provide more satisfying teaching methods and learning resources according to the characteristic information of learners’ knowledge structure and learning preference, and create a relatively personalized e-learning environment. Experiments show that ontology technology can fully improve the mining effect, improve the management efficiency of learning resource database, effectively promote students’ network learning, meet students’ personalized learning needs, and provide intelligent auxiliary means for system decision analysis.

References

[1] Oluchukwu Uzoamaka Ekwealor,Sylvanus Okwudili Anigbogu,Ifeoma Mary Ann Orji,Chukwuemeka Micheal Okafor. Semantic Web Ontology Technology and Its Impact on E-Learning[J]. American Journal of Embedded Systems and Applications,2021,8(2):

[2] Gupta Namit,Hsiao C. H.,Hsu T. C.,Chang J. N.,Yang S. J. H.,Young S. T.,Chu W. C.,Nunes M. Baptista,McPherson M.,Sreekumar M. G.,Jorge I.,Mergel I.,Sbitneva L.,Moreno N.,Rivera D.,Valdez R.,Pattnayak J.,Pattnaik S.,Ueda H.,Nakamura M.,Zhifen C.,Tinglei H.,Jia N.,Palanivel K.,Kuppuswami S.. E-learning web services and their configurationpolicywithin terms of SOA[J]. Asian Journal of Multidimensional Research,2021,10(10)

[3] RodriguezGarcia Mercedes,Balderas Antonio,Dodero Juan Manuel. Privacy Preservation and Analytical Utility of E-Learning Data Mashups in the Web of Data[J]. Applied Sciences,2021,11(18)

Published
2022-06-07
Section
Articles