Data mining for design curriculum development and personalized training scheme

Yang, Lifang, Wang, Yong and Qin, Sheng-feng (2009) Data mining for design curriculum development and personalized training scheme. In: Proceedings of the 2009 International Conference on Management and Service Science. IEEE, Piscataway, NJ, pp. 1-4. ISBN 9781424446384

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Abstract

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.

Item Type:	Book Section
Uncontrolled Keywords:	data mining, educational courses, principal component analysis
Subjects:	G900 Others in Mathematical and Computing Sciences W200 Design studies
Department:	Faculties > Arts, Design and Social Sciences > Design
Depositing User:	Ay Okpokam
Date Deposited:	18 Dec 2015 13:10
Last Modified:	12 Oct 2019 19:34
URI:	http://nrl.northumbria.ac.uk/id/eprint/25095

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