Automatic verification of correspondence between teaching resources and executive regulations in the field of design and implementation of concrete buildings: a text mining approach

Document Type : Research Article

Authors

1 Department of Civil Engineering, Ferdowsi University of Mashhad

2 Faculty of Engineering, Department of Civil Engineering and Construction Management, Ferdowsi University, Mashhad, Iran

Abstract

One of the challenges of higher education in editing university educational texts is to achieve the maximum compatibility of the content of educational resources with the instructions. therefore, to reach an efficient educational system and in line with industry needs, the appropriateness of the content of the educational resources with the regulations should be evaluated and revised if necessary. The need to review educational resources in the field of engineering and technology is important because these disciplines are needed in the application of industry and services in the country, and in fact, the training of expert and technical forces that can meet the technical needs of the country at different levels is the most important task of curricula in universities. This issue doubles the importance of paying attention to the teaching resources of these disciplines. this research seeks to extract keywords of "Iranian Concrete Regulations" and "reinforced concrete structures" which using three statistical approaches, linguistic knowledge and graph-based approaches proposes a hybrid method. then, the keywords of each document are visualized in a clustered network and analyzed. Comparing the results shows that the contents of these two documents are not completely similar. In fact, it can be said that the Regulations is an instructional document in which all the details have been addressed and all the issues surrounding concrete structures have been discussed. But the book is not satisfied with the design instructions and has examined the concepts related to the design of concrete structures in detail.

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