Paper Title
Mining Performance of Students in Computer Fundamentals Course using Classification Algorithm: A Multidisciplinary Case Study

Data mining in educational institutions is currently utilized to discover information on the data relevant to the students and it is called Educational Data Mining. This paper applied the educational data mining to investigate the academic performance of the multidisciplinary students on Computer Fundamentals course considering the different parameters. In our case study, the record of the students was extracted from a database and used as the data set. After preprocessing the data, initial analysis leads the researcher to use the classification algorithm wherein the IF-THEN rule was derived. The result shows that students from non-computing courses can perform excellently over the others, however with almost the same passing percentage. Also, the gathered result identified that the gender of the students has nothing to do with their performance with regard to the average rating result. Keywords - Educational data mining, kdd, classification algorithm, rule based classification, academic performance