Personalized curriculum composition by learner profile driven data mining

Author

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

Author_Institution

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

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

2068

Lastpage

2073

Abstract

The paper is focused on 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 Tokyo Denki University (TDU) 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 learner profiling concept that represents the students´ individual properties, talents and preferences personalized data mining.

Keywords

computer aided instruction; data mining; Tokyo Denki University; e-learning; learner profile driven data mining; personalized curriculum composition; storyboarding; Automation; Cities and towns; Computer science; Cybernetics; Data mining; Delta modulation; Humans; Layout; Paper technology; USA Councils; learner modeling; modeling learning processes; personalized data mining; storyboarding;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346317

Filename

5346317