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In this paper the complicated task of educational software evaluation is revisited and examined from a
different point of view. By the means of Educational Data Mining (EDM) techniques, in the present study
177 of the most common evaluation standards that have been proposed by various researchers are
examined and evaluated with regards to the degree they affect the effectiveness of educational software.
More specifically, via the employment of prediction, feature selection and relationship mining techniques
we investigate for the underlying rationale hidden within the data collected from experiments conducted at
the Department of Education of the University of Patras with regards to the software evaluation task and
the results of this study are presented and discussed in a quantitative and qualitative way.