Open Access Open Access  Restricted Access Subscription Access

COVID-19: A Survey on Change in Learning Method from Classroom to Virtual Using Educational Data Mining


Affiliations
1 Assistant Professor, MCA Department, DES's NMITD, University of Mumbai, India
2 Associate Professor, Department of Commerce, Smt. Dankunwar Mahila Mahavidyalay Jalana, India
3 Assistant Professor, MCA department, DVVPF's Institute of Business Management & Rural Development, Ahmednagar, India
 

The process of extracting hidden predictive information from a large data set is called data mining and it is also referred to as Knowledge Discovery from Database i.e. KDD. Time series analysis, prediction, regression, clustering, association rule mining, classification are few data mining techniques used by many sectors for extracting hidden patterns from their huge data warehouses. Educational data mining is an emerging field where data mining techniques are applied to educational data. Corona virus is declared as a pandemic and most of the countries have declared lockdown as a preventive measure against it. During this lockdown, most of the higher education institutes organized online lectures for their students. This paper surveys to understand what kind of teaching students preferred in the future either online or classroom for which data mining classification technique was used with the J48 algorithm. And the result shows that students preferred classroom teaching instead of online teaching.

Keywords

Coronavirus, COVID-19, Data Mining, Educational Data Mining, Classification, Decision Tree, J48 Etc.
Notifications

Abstract Views: 224

PDF Views: 96




  • COVID-19: A Survey on Change in Learning Method from Classroom to Virtual Using Educational Data Mining

Abstract Views: 224  |  PDF Views: 96

Authors

Sulakshana Kishor Vispute
Assistant Professor, MCA Department, DES's NMITD, University of Mumbai, India
Jitendra Janardan Ahirrao
Associate Professor, Department of Commerce, Smt. Dankunwar Mahila Mahavidyalay Jalana, India
Shubhangi M. Potdar
Assistant Professor, MCA department, DVVPF's Institute of Business Management & Rural Development, Ahmednagar, India

Abstract


The process of extracting hidden predictive information from a large data set is called data mining and it is also referred to as Knowledge Discovery from Database i.e. KDD. Time series analysis, prediction, regression, clustering, association rule mining, classification are few data mining techniques used by many sectors for extracting hidden patterns from their huge data warehouses. Educational data mining is an emerging field where data mining techniques are applied to educational data. Corona virus is declared as a pandemic and most of the countries have declared lockdown as a preventive measure against it. During this lockdown, most of the higher education institutes organized online lectures for their students. This paper surveys to understand what kind of teaching students preferred in the future either online or classroom for which data mining classification technique was used with the J48 algorithm. And the result shows that students preferred classroom teaching instead of online teaching.

Keywords


Coronavirus, COVID-19, Data Mining, Educational Data Mining, Classification, Decision Tree, J48 Etc.



DOI: https://doi.org/10.17697/ibmrd%2F2021%2Fv10i2%2F166797