Collaborative data mining tool for education

EDM'09 - Educational Data Mining 2009: 2nd International Conference on Educational Data Mining

Volumn , Issue , 2009, Pages 299-306

  Garcia, Enrique ^a   Romero, Cristobal ^a   Ventura, Sebastian ^a   Gea, Miguel ^b   De Castro, Carlos ^a  

^a UNIVERSITY OF CÓRDOBA   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS IMPROVEMENTS; DATA-MINING TOOLS; EDUCATIONAL DATA MINING; INTERNAL OPERATIONS;

E-LEARNING; EDUCATION;

DATA MINING;

EID: 77958150306     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. DBMiner. Available at http://www.dbminer.com. 2009.
2. Clementine. Available at http://www.spss.com/clementine/. 2009.
3. Miner. Available at http://www-306.ibm.com/software/data/iminer/2009.
4. Weka. Available at http://www.cs.waikato.ac.nz/ml/weka/2009.
5. RapidMiner. Available at http://rapid-i.com/2009.
6. Keel. Available at http://www.keel.es/2009.
7. Zaïane, O., Luo, J. Web usage mining for a better web-based learning environment. In Proceedings of conference on advanced technology for education, 2001. Banff, Alberta, pp. 60-64.
8. Silva, D., Vieira, M., 2002. Using data warehouse and data mining resources for ongoing assessment in distance learning. In IEEE International Conference on Advanced Learning Technologies, 2002. Kazan, Russia, pp. 40-45.
9. Romero, C., Ventura, S., and Bra, P. D. Knowledge discovery with genetic programming for providing feedback to courseware author. User Modeling and User- Adapted Interaction: The Journal of Personalization Research, 2004, 14(5), pp. 425- 464. (Pubitemid 41440884)
10. Tane, J., Schmitz, C., Stumme, G. Semantic resource management for the web: An elearning application. In Proceedings of the WWW Conference, 2004 New York, USA, pp. 1-10.
11. Avouris, N., Komis, V., Fiotakis, G., Margaritis, M., Voyiatzaki, E. Why logging of fingertip actions is not enough for analysis of learning activities. In Workshop on Usage analysis in learning systems at the 12th International Conference on Artificial Intelligence in Education, 2005. Amsterdam, Netherland, pp. 1-8.
12. Mazza, R., Milani, C. Exploring usage analysis in learning systems: Gaining insights from visualisations. In Workshop on Usage analysis in learning systems at 12th International Conference on Artificial Intelligence in Education, 2005. New York, USA, pp. 1-6.
13. Mostow, J., Beck, J., Cen, H., Cuneo, A., Gouvea, E., Heiner, C. An educational data mining tool to browse tutor-student interactions: Time will tell! In Proceedings of the Workshop on Educational Data Mining, 2005. Pittsburgh, USA, pp. 15-22.
14. Merceron, A., Yacef, K. TADA-Ed for educational data mining. Interactive multimedia electronic journal of computer-enhanced learning, 2005, 7(1), pp. 267-287.
15. Becker, K., Vanzin, M., Ruiz, D. A. Ontology-based filtering mechanisms for web usage patterns retrieval. In International Conference on E-Commerce and Web Technologies, 2005. München, Germany, pp. 267-277. (Pubitemid 41450370)
16. Romero, C., Porras, A.R., Ventura, S., Hervás, C., Zafra, A. Using sequential pattern mining for links recommendation in adaptive hipermedia educational systems. In International Conference Current Developments in Technology-Assisted Education, 2006. Sevilla, Spain, pp.1016-1020.
17. Bellaachia, A., Vommina, E., Berrada, B. Minel: a framework for mining e-learning logs. In Proceedings of the 5th IASTED international conference on Web-based education, 2006. Mexico, pp. 259-263.
18. Bravo, J., Ortigosa, A. Validating the Evaluation of Adaptive Systems by User Profile Simulation. In Proc. Workshop on User-Centred Design and Evaluation of Adaptive Systems, 2006, Dublin, Germany, pp. 52-56.
19. Data mining algorithms to classify students. C. Romero, S. Ventura, P. Espejo, C. Hervas. Educational Data Mining Conference EDM 2008, 2008, 20-21 Junio, Montreal, pp. 8-17.
20. Scheffer, T. Finding Association Rules That Trade Support Optimally against Confidence. Intelligent Data Analysis, 2005, 9(4), pp. 381-395.
21. García, E., Romero, C., Ventura, S., de Castro, C. An architecture for making recommendations to courseware authors through association rule mining and collaborative filtering. UMUAI: User Modelling and User Adapted Interaction, 2009, 19(1-2), pp. 99-132.
22. De Castro, C., García, E., Romero, C., and Ventura, S. Herramienta autor INDESAHC para la creación de cursos hipermedia adaptativos. Revista latinoamericana de tecnología educativa 3, 2004, pp. 349-367.