Adaptation to Online Education: An Educational Data Mining Application

Despite space, time, and financial limitations, people who want to receive education participate intensively in online programs that have emerged with the development of technology. With Covid-19 outbreak, this interest has increased exponentially. In today's societies, where education, which is preferred for different reasons, become essential, examining factors affecting success learning a very important research topic. The study examined level adaptation terms demographic variables. Experimental studies necessary analyzes were carried out on open-access ‘Students Adaptability Level Online Education’ dataset. results obtained using association rules, among most widely used data mining techniques, provided remarkable regarding distance education. It thought reported will be guide creating plans suitable characteristics students enrolled program.