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

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 storyboar...

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Bibliographic Details
Main Authors: Knauf, Rainer, Sakurai, Yoshitaka, Tsuruta, Setsuo, Takada, Kouhei
Format: Conference Proceeding
Language:English
Subjects:
Adaptation model
data mining
Estimation
modeling learning processes
storyboarding
Training
validation
Online Access:Request full text
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Summary: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.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2010.5642356