Authors:
Hiroyuki Morita
;
Masashi Kondo
;
Tomonori Ishigaki
;
Nagateru Araki
and
Yuuji Nakayama
Affiliation:
Osaka Prefecture University, Japan
Keyword(s):
Data mining, Challenging education, Competition.
Related
Ontology
Subjects/Areas/Topics:
Blended Learning
;
Collaborative Learning
;
Computer-Supported Education
;
Course Design and e-Learning Curriculae
;
Course/Program Evaluation
;
e-Learning
;
e-Learning Success Cases
;
e-Learning Tactics and Strategies
;
Learning/Teaching Methodologies and Assessment
;
Managing Quality in e-Learning
;
Social Context and Learning Environments
Abstract:
To provide effective data mining education, practical data, high-level mining tools supported by computer, and students’ interests are essential factors. To provide such education, we incorporated data analysis competition into our data mining education. The competition highly motivates students; however, there was no connection between their analysis and the practical usage. In our new educational program, we incorporate a real sales promotion by the students themselves who propose a good analysis at a real shop. By investigating some questionnaires for the students, we show that our program has a good evaluation.