Development of a Domain Specific Modeling Language for Educational Data Mining

Abstract

In data mining solutions, the data selection phase plays an essential role in the success of decision-making. The tools that operate at this phase need to cater to each domain's technical and management challenges. Using a Domain-Specific Modeling Language (DSML), we found an alternative to abstract data and simplify the selection for Educational Data Mining (EDM) process. This work presents a graphic DSML to represent the problem. We used a case study methodology and implemented a CASE tool for the language evaluation. We acquired evidence that the proposed language simplifies the data selection phase for EDM because it solves the technical and management challenges addressed to this domain.