Cross-disciplinary curriculum integration spaces for emergency management engineering talent cultivation in higher education

Yao Yao Wei, Wei Fan Chen, Tian Xie, Jian Jun Peng

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Cultivating cross-disciplinary emergency management engineering talent is necessary and significant for responding to major emergencies. As barriers to intercourse and cognition exist between the different disciplines, the massive, heterogeneous, unordered cross-disciplinary curricula are difficult to integrate. To solve these problems and integrate the courses from various disciplinary curriculum plans on demand, the cross-disciplinary curriculum integration spaces (CCIS) method is proposed based on the cross-domain integrating and reasoning spaces method and IOPE model. First, using space modeling, the key structure of cross-disciplinary talent demand and various curriculum plans can be dimensionally transformed and formally expressed in the CCIS spaces. Second, to solve possible semantic inconsistencies between curriculum plans from different disciplines, relevant interoperable mediating methods are present. Furthermore, the inputs-outputs-preconditions-effects (IOPE)-based integration algorithm of CCIS spaces is proposed to integrate and reorganize the disciplinary curriculum plans into the optimized cross-disciplinary curriculum plans according to a new talent demand. Two applied examples and their experiment results show that the reliable and valid cross-disciplinary curriculum plan for responding to the compound talent demand can be obtained with the proposed CCIS method.

Original languageEnglish (US)
Pages (from-to)1175-1189
Number of pages15
JournalComputer Applications in Engineering Education
Volume30
Issue number4
DOIs
StatePublished - Jul 2022

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Education
  • General Engineering

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