THE POSSIBLE CRUCIAL IMPACT OF COVID-19 OUTBREAK ON WORLDWIDE EDUCATION SYSTEM: PREDICTIVE MODEL THROUGH DATA MINING METHOD
Main Article Content
Abstract
The outbreak of COVID-19 as a global pandemic has affected several walks of life including the education sector in a global scale. With the seizure of the standard approach of physical classes, internet-based alternative approach of teaching-learning strategy has been employed to continue the academic curriculum. This work is based on the study of the student feedback from the internet-based education policy. In this paper we have presented an approach to analyse the feedback by calculating the modularity of the responses as an optimisation of data mining techniques. Further we have presented the modularity graphs for each of the question used in the survey individually as a strategy analyse the responses from the students about their feedback and opinion regarding the implementation of alternative teaching-learning approach, that may be considered as a useful tool to analyse the student satisfaction level index.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.