An intelligent system for modeling and supporting academic educational processes

Smart Innovation, Systems and Technologies

Volumn 17, Issue , 2013, Pages 469-496

  Tsuruta, Setsuo ^a   Knauf, Rainer ^b   Dohi, Shinichi ^a   Kawabe, Takashi ^a   Sakurai, Yoshitaka ^c  

^a TOKYO DENKI UNIVERSITY   (Japan)

^b ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

COMPLICATED SYSTEMS; EDUCATIONAL DATA MININGS (EDM); EDUCATIONAL PROCESS; FEASIBILITY STUDIES; GRADE POINT AVERAGE; LEARNING PROCESS; STANDARD DEVIATION; UNIVERSITY CURRICULA;

CURRICULA; DATA MINING; DECISION TREES; INTELLIGENT SYSTEMS; LEARNING SYSTEMS;

STUDENTS;

EID: 84879322542     PISSN: 21903018     EISSN: 21903026     Source Type: Book Series    
DOI: 10.1007/978-3-642-30171-1_19     Document Type: Article

References (13)

1. Amasyali, M.F., Ersoy, O.: Cline: New multivariate decision tree construction heuristics. In: Proceedings of CIMA (2005)
2. Boeck, R.: Ein data mining verfahren zur pfadbewertung in storyboards. (German) Diploma thesis, Ilmenau University of Technology (2007)
3. Cha, S., Tappert, C.: A genetic algorithm for constructing compact binary decision trees. Journal of Pattern Recognition Research 1, 1-13 (2009)
4. Dohi, S., Nakamura, S.: The development of the dynamic syllabus for school of information environment. In: Proceedings of ITHET, pp. 505-510 (2003)
5. Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. Engineering Education 78(7), 674-681 (1988)
6. Gardner, H.: Frames of Mind: The Theory of Multiple Intelligences. Basic Books (1993)
7. Knauf, R., Sakurai, Y., Takada, T., Dohi, S.: Personalized Curriculum Composition by Learner Profile Driven Data Mining. In: Proc. of the 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2009), San Antonio, TX, USA, pp. 2137-2142 (2009) ISBN 978-1-4244-2794-9
8. Knauf, R., Sakurai, Y., Tsuruta, S., Jantke, K.P.: Modeling Didactic Knowledge by Storyboarding. Journal of Educational Computing Research 42(4), 355-383 (2010)
9. Lacave, C., Luque, M., Díez, F.J.: Explanation of Bayesian networks and influence diagrams in Elvira. IEEE Transactions on Systems, Man and Cybernetics, part B: Cybernetics 37, 952-965 (2007)
10. Rexer, K., Allen, H., Gearan, P.: Data miner survey. In: Proceedings of PAW (2010)
11. Puterman, M.L.: Markov decision processes: Discrete stochastic dynamic programming. Wiley, New York (1995)
12. Sakurai, Y., Dohi, S., Tsuruta, S., Knauf, R.: Modeling academic education processes by dynamic storyboarding. Journal of Educational Technology & Society 12, 307-333 (2009)
13. Weihong, W., Wei, R., Qu, L.: Fuzzy decision tree construction with gene expression programming. In: Proceedings of ISKE, pp. 244-248 (2010)