tools to facilitate their actions in decision-making
activities. These features are available through the
user interface, screen formats, menus, graphs,
information and knowledge generated by data
mining processes integrated in the DSS.
4 CONCLUSIONS
In an attempt to support the managers of academic
institutions in decision-making processes, we
proposed in this paper the design of a DSS which
also incorporates data mining technologies. This
study is part of a range of activities that has evolved
continuously, from the revision of several aspects of
general education in Europe, higher education
management, single issues in the implementation of
information technology, to the personal
achievements to assist the higher education
managers in decision-making processes.
Prospects for further research directions rely on
the grants of the Business Information Systems
department and on the general objectives of the
Strategic Program of Babeş-Bolyai University of
Cluj-Napoca for 2007-2011. These will include:
- Further research to develop and implement the
academic decision support system, and fully
integrate other modules;
- The application of other modern technologies,
such as data warehouse, to the new system
architecture;
- The continued application of data mining
technologies on scientific research databases and
teaching activities, to disseminate the results of
research activities and teaching;
- Comparative analysis on the new direction of
higher education and the results obtained in terms of
integration into EU structures.
ACKNOWLEDGEMENTS
The research from the present article is a part of the
Romanian CNCSIS IDEI 1598 grant “Invatamantul
superior si piata muncii. Cercetari bazate pe
tehnologii informatice privind corelatia dintre
calificarile cerute de piata muncii si cunostintele
reale ale studentilor”, manager Nicolae Ghisoiu,
Professor Ph.D.
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