Automated student model improvement

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

Volumn , Issue , 2012, Pages

  Koedinger, Kenneth R ^a   McLaughlin, Elizabeth A ^a   Stamper, John C ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Model comparison; Model discovery; Student modeling

Indexed keywords

DATA MINING; LEARNING ALGORITHMS; STUDENTS;

CROSS VALIDATION; INSTRUCTIONAL TECHNOLOGY; INTELLIGENT TUTORS; MODEL COMPARISON; MODEL DISCOVERIES; MODELS OF LEARNING; STUDENT LEARNING PROCESS; STUDENT MODELING;

LEARNING SYSTEMS;

EID: 85084014503     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Cen, H., Koedinger, K. R., & Junker, B. (2006). Learning Factors Analysis: A general method for cognitive model evaluation and improvement. In M. Ikeda, K.D. Ashley, T.W. Chan (Eds.) Proceedings of the 8th International Conference on Intelligent Tutoring Systems, 164-175. Berlin: Springer-Verlag.
2. Clark, R.E., Feldon, D., van Merriënboer, J., Yates, K., & Early, S. (2008). Cognitive task analysis. In Spector, J. M., Merrill, M.D., van Merriënboer, J., & Driscoll, M.P. (Eds.) Handbook of research on educational communications and technology (3rd ed.). Mahwah: Lawrence Erlbaum.
3. Draney, K.L., Pirolli, P., & Wilson, M. (1995). A measurement model for complex cognitive skill. In P. Nichols, S.F. Chipman, & R.L. Brennan (Eds.), Cognitively diagnostic assessment (pp. 103–126). Hillsdale: Erlbaum.
4. Falmange, J.C., Koppen, M., Villano, M., Doignon, J.P. & Johannesen, L. (1990). Introduction to knowledge spaces: How to build, test, and search them. Psychological Review, 97, 201-224.
5. Feng, M., Heffernan, N.T., & Koedinger, K.R. (2009). Addressing the assessment challenge in an online system that tutors as it assesses. User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI). 19(3), pp. 243-266.
6. Koedinger, K. R. & Aleven, V. (2007). Exploring the assistance dilemma in experiments with Cognitive Tutors. Educational Psychology Review, 19 (3): 239-264.
7. Koedinger, K.R. & McLaughlin, E.A. (2010). Seeing language learning inside the math: Cognitive analysis yields transfer. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. (pp. 471-476.) Austin, TX: Cognitive Science Society.
8. Koedinger, K.R., Baker, R.S.J.d., Cunningham, K., Skogsholm, A., Leber, B., Stamper, J., (2011) A Data Repository for the EDM community: The PSLC DataShop. In Romero, C., Ventura, S., Pechenizkiy, M., Baker, R.S.J.d. (Eds.) Handbook of Educational Data Mining. Boca Raton, FL: CRC Press.
9. Lee, R. L. (2003). Cognitive task analysis: A meta-analysis of comparative studies. Unpublished doctoral dissertation, University of Southern California, Los Angeles, California.
10. Martin, B., & Mitrovic, A. (2004). Evaluating Intelligent Education Systems with Learning Curves in Proceedings of the workshop on evaluation at AH2004, Eindhoven, pp. 179-188.
11. Martin, B., Mitrovic, T., Mathan, S., & Koedinger, K.R. (2011). Evaluating and improving adaptive educational systems with learning curves. User Modeling and User-Adapted Interaction (2011) 21:249–283.
12. Model Values. In PSLC DataShop. Retrieved 4/10/12 from https://pslcdatashop.web.cmu.edu/help?page=modelValues
13. Pavlik Jr., P.I., Cen, H., Koedinger, K.R.: Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models. In: Barnes, T., Desmarais, M., Romero, C., Ventura, S. (eds.) Proceedings of the the 2nd International Conference on Educational Data Mining, Cordoba, Spain, pp. 121-130 (2009).
14. Spada, H., & McGaw, B. (1985). The assessment of learning effects with linear logistic test models. In S. E. Embretson (Ed.), Test design: Developments in Psychology and Psychometrics.
15. Stamper, J. & Koedinger, K.R. (2011). Human-machine student model discovery and improvement using data. In J. Kay, S. Bull & G. Biswas (Eds.), Proceedings of the 15th International Conference on Artificial Intelligence in Education, pp. 353-360. Berlin: Springer.
16. Tatsuoka, K.K. (1983) Rule space: An approach for dealing with misconceptions based on item response theory. Journal of Educational Measurement, 20, 345-354.