| Autor: |
Bodea, Constanta-Nicoleta, Bodea, Vasile, Mogos, Radu |
| Zdroj: |
Knowledge Management, Information Systems, E-learning & Sustainability Research; 2010, p470-479, 10p |
| Abstrakt: |
The paper presents the application of data mining for analyzing performance of students enrolled in an online two-year master degree programme in project management. The main data sources for the mining process are the survey made for gathering students΄ opinions, the operational database with the students΄ records and data regarding students activities recorded by the e-learning platform. More than 180 students have responded and more than 150 distinct characteristics/ variable per student were identified. Due the large number of variables data mining is a recommended approach to analysis data. Clustering, classification and association rules were employed in order to identify the factor explaining students΄ performance. The results are very encouraging and suggest several future developments. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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