Using datamining tools in analyzing undergraduate paper results in Computer Science at Óbuda University

Students may download the teaching material of Computer Science from a web based system after logging in a server saving username and the time of each file download. A statistical audit is based on this data. Analysing the data of the second semester made possible to draw conclusions regarding learning habits [1] and the correlation between the time of download and the result of the papers written by the students. As a first result of this analysis high download numbers were found at the time of lectures of different subjects. Many of the students do not visit the presentations of different subjects, which accounts for the bad paper results in this case. As a second result of this analysis the highest number of downloads was found one day before the test or on the test day. This means students are not interested in CS. The situation is similar when looking at other subjects. Students try hard to get a degree without learning.