- On the theoretical level, this study advocate small data sets data mining possibilities, supported by contemporary desktop data mining information technology.
- On the implementation level, the research data and results proved that the prediction is significant successful by both technologies, used in the research.
- Additionally, our findings constitute a practical guide for decision makers in HEI and higher education professors to effectively identify problems regarding student success, which is sometimes hidden in professor’s data about their students.
- Finally, this model makes it possible to react as early as possible to improve student success rate, immediately after their enrolment or at any time during the study.