Analyzing paths in a student database

Proceedings of the 5th International Conference on Educational Data Mining, EDM 2012

Volumn , Issue , 2012, Pages

  Campagni, Renza ^a   Merlini, Donatella ^a   Sprugnoli, Renzo ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85084012123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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2. R. Damaševičius. Analysis of academic results for informatics course improvement using association rule mining. In Information Systems Development, pages 357–363. Springer, 2010.
3. C. Romero, J. R. Romero, J. M. Luna, and S. Ventura. Mining rare association rules from e-learning data. In The 3rd International Conference on Educational Data Mining, pages 171–180, 2010.
4. H. Soundranayagam and K. Yacef. Can order of access to learning resources predict success? In The 3rd International Conference on Educational Data Mining, pages 323–324, 2010.
5. P. N. Tan, M. Steinbach, and V. Kumar. Introduction to Data Mining. Addison-Wesley, 2006.