Personalized curriculum composition by learner profile driven data mining

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

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.

Quote

Citation style:

Knauf, Rainer / Sakurai, Yoshitaka / Tsuruta, Setsuo / et al: Personalized curriculum composition by learner profile driven data mining. 2009.

Access Statistic

Total:
Downloads:
Abtractviews:
Last 12 Month:
Downloads:
Abtractviews:

open graphic

Rights

Export