Personalizing Learning Processes by Data Mining

A modeling approach for learning processes is utilized to process, evaluate and refine them. A formerly-developed concept called storyboarding has been applied at Tokyo Denki University (TDU) to model the various curricula for students to progress in their studies. Along with this particular storyboard, we developed a data mining technology to estimate chances for success for the students following each curricular path. Here, we introduce a concept of learner profiling. The profile represents the students´ individual properties, talents and preferences constructed through mining personal meta data about learning preferences.