Analysis of a short on-line course through logged data recording by a self-developed logging module

Online education has gained a wide popularity in today's global information boom. Prominent universities offer more and more online courses with modern audio-visual content, which have become available for almost everyone. The courses can be completed self-paced allowing for much more flexibility. Such a learning approach has already reformed higher education and seeks ways to penetrate into the realm of the secondary and primary education. Our team conducted a research in the higher classes of different primary schools in the Province of Vojvodina, Serbia. Participants of the Hungarian minority took part in a course named “Conscious and Safe Internet Use” and obtained a valuable knowledge with the help of videos and optional course materials. Student activities were all recorded with the help of a special self-developed logging software for later processing. Data were processed by statistical and data mining methods. According to the values of correlation coefficients and R Square Statistical value it can be stated, that those participants who scored well at the pre-test stage expectedly had better results during the final testing stage. The number of video views, the age of students and the size of their hometown had also influenced the outcome of the tests. The detailed findings are presented in this paper under the Results chapter.