Discovering Relationships among Personal and Academic Factors with Academic Performance using Association Rules

Educational environment produces a lot of information related with many aspects, besides the traditional system, the growth of online educative systems and the called e-learning, have increased the amount of data available for its analysis. Data Mining offers different techniques for processing information in order to discover patterns that can be used for obtaining knowledge which helps improving or taking decisions about certain topics. This work presents the concepts related with, and the use of the called Educational Data Mining, specifically the technique of Association Rules, for obtaining relationships among the academic and personal factors with academic performance.