Title :
Success Chances Estimation of University Curricula Based on Educational History, Self-Estimated Intellectual Traits and Vocational Ambitions
Author :
Sakurai, Yoshitaka ; Tsuruta, Setsuo ; Knauf, Rainer
Author_Institution :
Sch. of Inf. Environ., Tokyo Denki Univ., Chiba, Japan
Abstract :
The paper deals with modeling, processing, evaluating and refining university studies. 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 discuss chances to improve these results by implementing a student profiling concept that represents the students´ individual educational history and a self estimation about intellectual traits and vocational ambitions.
Keywords :
data mining; educational courses; educational institutions; educational technology; data mining technology; educational history; self-estimated intellectual traits; storyboarding; student profiling concept; success chances estimation; university curricula; vocational ambitions; Conferences; Data mining; Decision trees; Educational institutions; Estimation; History; data mining; modeling learning processes; storyboarding;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
Conference_Location :
Athens, GA
Print_ISBN :
978-1-61284-209-7
Electronic_ISBN :
2161-3761
DOI :
10.1109/ICALT.2011.148
