Educational association mining on the use of media platforms for e-learning

Aparna Agarwal, Raza Hasan, Vikas Rao Naidu, Mohammed Saqib, Shyamala Srinivas, Karan Jesrani

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review

Abstract

The education sector is always facing challenges related to various teaching and learning aspects. With continuous advancements in education technology, students, as well as staff, constantly face issues related to upgrading their knowledge to the next level. During the situation of COVID-19 pandemic, many educational organizations were forced to adopt these technologies very rapidly in order to keep themselves on track and not to lose their students involvement. This research paper has shown the effect of mobile technology and its role in the e-learning process during the online mode of study. A survey was conducted having 206 participants. The questionnaire was having 27 attributes. The research has used association rule mining technique such as CN2 Rule Induction. Principal Component Analysis was used to reduce the components and the gradient approach was used to optimize the results. The study shows a high impact on learning with the usage of mobile phones and better internet infrastructure providing learning anywhere at any time.
Original languageEnglish
Title of host publication2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)
PublisherIEEE
Pages309-314
Number of pages6
ISBN (Electronic)978-1-7281-9491-2
ISBN (Print)978-1-7281-9492-9
DOIs
Publication statusPublished - 2021
Event2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) - Dubai, United Arab Emirates
Duration: 19 Jan 202121 Jan 2021

Conference

Conference2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)
Abbreviated titleICCAKM
Country/TerritoryUnited Arab Emirates
CityDubai
Period19/01/2121/01/21

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