Development of a workbench to address the educational data mining bottleneck

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

Volumn , Issue , 2012, Pages

  Rodrigo, Ma Mercedes T ^a   d Baker, Ryan S J ^b   McLaren, Bruce M ^c   Jayme, Alejandra ^a   Dy, Thomas T ^a  

^a ATENEO DE MANILA UNIVERSITY   (Philippines)

^b WORCESTER POLYTECHNIC INSTITUTE   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Educational data mining workbench

Indexed keywords

MACHINE LEARNING; STUDENTS;

COGNITIVE SKILL; CONFIGURATION ALGORITHM; CROSS VALIDATION; EDUCATIONAL DATA MINING; EDUCATIONAL DATA MININGS (EDM); EDUCATIONAL RESEARCH; MACHINE LEARNING SOFTWARE; STUDENT LEARNING;

DATA MINING;

EID: 85084012914     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Alcala-Fdez, J., Sanchez, L., Garcia, S., de Jesus, M.J., Ventura, S., Garrell, J. M., Otero, J., Romero, C., Bacardit, J. & Rivas, V.M. (2009). KEEL: A software tool to assess evolutionary algorithms for data mining problems. Soft Computing: A Fusion of Foundations, Methodologies and Applications, 13(3), 307-318.
2. Baker, R.S.J.d., Corbett, A.T., Aleven, V. (2008). More Accurate Student Modeling Through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing. Proceedings of the 9th International Conference on Intelligent Tutoring Systems, 406-415.
3. Baker, R.S.J.d. (2007). Modeling and Understanding Students' Off-Task Behavior in Intelligent Tutoring Systems. Proceedings of ACM CHI 2007: Computer-Human Interaction, 1059-1068.
4. Baker, R.S.J.d., Corbett, A.T., Koedinger, K.R., & Wagner, A.Z. (2004). Off-Task Behavior in the Cognitive Tutor Classroom: When Students “Game the System.” Proceedings of ACM CHI: Computer-Human Interaction 383-390.
5. st International Conference on Educational Data Mining, 38-47.
6. Cetintas, S., Luo, S., Yan Ping Xin, & Hord, C. (2010). Automatic detection of off-task behaviors in intelligent tutoring systems with machine learning techniques. IEEE Transactions on Leanring Technologies, 3(3), 228-236.
7. Corbett, A.T., & Anderson, J.R. (1995). Knowledge Tracing: Modeling the Acquisition of Procedural Knowledge. User Modeling and User-Adapted Interaction, 4, 253-278.
8. de Vicente, A., Pain, H. (2002). Informing the detection of the students’ motivational state: an empirical study. Proceedings of the 6th International Conference on Intelligent Tutoring Systems, 933-943.
9. Koedinger, K., Cunningham, K., Skogsholm, A., Leber, B. (2011) An data repository for the EDM community: The PSLC DataShop. In c. Romero, S. Ventura, M. Pechenizkiy and R. S. J. d. Baker, Handbook of Educational Data Mining. Boca Raton, FL: CRC Press, 43-55.
10. Lee, D. M., Rodrigo, M. M. T. R., Baker, Ryan S. J. D., Sugay, J. O., & Coronel, A. (2011). Exploring the relationship between novice programmer confusion and achievement. In S. D’Mello & A Graesser (Eds.): ACII 2011, Part I, LNCS 6974, (pp. 175-184), Berlin Heidelberg: Springer-Verlag.
11. McLaren, B.M., Scheuer, O., & Mikšátko, J. (2010). Supporting collaborative learning and e-Discussions using artificial intelligence techniques. International Journal of Artificial Intelligence in Education (IJAIED) 20(1), 1-46.
12. Mierswa, I., Wurst, M., Klinkenberg, R., Scholz, M. & Euler, T. (2006). YALE: Rapid Prototyping for Complex Data Mining Tasks. In Proc. of the 12th ACM SIGKDD Int’l Conference on Knowledge Discovery and Data Mining (KDD 2006), (pp. 935-940), ACM Press.
13. Sao Pedro, M., Baker, R., Gobert, J., Montalvo, O., & Nakama, A. (in press). Leveraging Machine-Learned Detectors of Systematic Inquiry Behavior to Estimate and Predict Transfer of Inquiry Skill. User Modeling and User-Adapted Interaction.
14. Walonoski, J. & Heffernan, N.T. (2006). Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems. In Ikeda, Ashley & Chan (Eds.). Proceedings of the 8th International Conference on Intelligent Tutoring Systems. Springer-Verlag: Berlin. pp. 382-391.
15. Witten, I. H. & Frank, E. (2005). Data Mining: Practical Machine Learning Tools and Techniques, Second Edition, Morgan Kaufmann.