Data mining for design curriculum development and personalized training scheme

There exit many problems in current Industrial Design teaching and learning for Chinese higher education. The aims and objectives of our research are to provide personalized training scheme for students through improving current curriculum. For the aim, the questionnaires are made to get information about design innovation and design innovative personal. Through data mining and PCA (principle component analysis) for the questionnaires, the innovation training archives is established on classifying different personality with respect to creativity and innovation. The questionnaires mainly contain innovation design factors, design course modules, design course activities, and design capabilities. Through design information mining, old curriculum problems are found and improved curriculum is designed. By the innovation training archives, personalized training scheme is to provide for the students to recommend relevant learning scheme. ©2009 IEEE.