Empirical evaluation of a data mining method for success chance estimation of university curricula

Author

Knauf, Rainer ; Sakurai, Yoshitaka ; Tsuruta, Setsuo ; Takada, Kouhei

Author_Institution

Fac. of Comput. Sci. & Autom., Ilmenau Univ. of Technol., Ilmenau, Germany

fYear

2010

fDate

10-13 Oct. 2010

Firstpage

1127

Lastpage

1133

Abstract

The paper deals with modeling, processing, evaluating and refining processes with humans involved like (not only, but also e-) learning. A formerly developed concept called storyboarding has been applied at a university to model the various ways to study at this university. Along with this storyboard, we developed a data mining technology to estimate success chances of curricula. Here, we introduce a validation method for this technology and its results. Further, we discuss chances to improve these results by implementing a formerly introduced learner profiling concept that represents the students´ individual properties, talents and preferences for personalized data mining.

Keywords

computer aided instruction; data mining; e-learning; modeling learning processes; personalized data mining; storyboarding; success chance estimation; university curricula; Adaptation model; Estimation; Training; data mining; modeling learning processes; storyboarding; validation;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1062-922X

Print_ISBN

978-1-4244-6586-6

Type

conf

DOI

10.1109/ICSMC.2010.5642356

Filename

5642356