Measurement of the Responsiveness of Industrial Engineering Application-oriented Innovative Talent Training Mode

doi:10.3969/j.issn.1007-7375.2018.05.013

Abstract

Abstract:

Cultivating application-oriented innovative talents meeting the needs of innovative social development and the requirements of international standards for engineering education certification has become a problem for the long-term planning of university industrial engineering major courses. So measuring the fitness of personnel training modes to professional certification standards is an important indicator to evaluate the effectiveness of the models. In order to build a good model of application-oriented innovative talents, a 7-level cloud scale is established, with the cloud theory fully expressing the characteristics of ambiguity and randomness. The analytic hierarchy process, which measures the scale according to the cloud theory, assigns weights to the various elements of the training model, and constructs a measure model of the response cloud. The degree of subordination is determined by the degree of closeness between the computational response cloud and the ruler cloud, and an effective measure of the responsiveness of the "cultivation mode-authentication standard" is achieved. Finally, this measurement model is empirically analyzed. The conclusion shows:The cloud model is used to construct a response cloud measurement model, which achieves the evaluation of the responsiveness of the "cultivation mode-authentication standard" and objectively expresses the ambiguity and randomness of the measure itself. Among the elements of the training model for application-oriented innovative talents, the "education concept B2" and "cultivation process B4" account for more than 60% of the total. Only when the colleges and universities obtain good scores in these two factors can the training mode be more responsive to the common standards. This will provide a valuable reference for the development of application-oriented innovative talents training mode for professional engineering education in colleges and universities.

Key words: engineering education accreditation standards, industrial engineering, applied innovation, talent training mode, responsiveness, cloud theory

CLC Number:

YAN Wei, YUAN Qinghe, SUN Jiaxin, OU Longfei. Measurement of the Responsiveness of Industrial Engineering Application-oriented Innovative Talent Training Mode[J]. Industrial Engineering Journal , 2018, 21(5): 93-99.

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