Educational Association Mining on the Use of Media Platforms for e- Learning

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.