Weighting Research on the First-Class Curriculum Evaluation System of Landscape Architecture Based on the Analytic Network Process Method

Lifang Qiao, Anguo Qi, Yichuan Zhang, Baoquan Wang, Jian Zhou and Chiara Bedon

Mathematical Problems in Engineering, 2022, vol. 2022, 1-13

Abstract: China has been implementing a brand-new reform in agricultural education and teaching, and the construction of a first-class curriculum is an important guarantee for improving teaching quality and talent training. In line with the survey results of senior students from the field of landscape architecture, 15 frequent elements are selected, namely, teaching team, teaching strategy, teaching method, curriculum ideology and politics, online teaching, offline teaching informatization, teaching material resources, hardware resources, social resources, curriculum structure, teaching process, curriculum organization, applicability, foresight, innovation, and practicality. According to affiliation relationships, they are then classified into five clusters, which are curriculum intelligence support, informatization, resources, normalization, and content. By adopting the analytic network process method and using the super decision software, the hierarchical network model reflecting the dependence and feedback relationship between elements is established. The research results show that, among the five clusters, curriculum content and intelligence support weight relatively are high, which account for 67% of the total weight. The elements of the teaching team, online teaching, teaching material resources, teaching process normalization, and applicability and practicality of curriculum content weigh high, respectively, among the clusters. In the overall ranking of the system weight, the weights of three elements exceed 0.1, namely, the teaching team, content practicability, and teaching process normalization. The weights of the top eight elements account for approximately 85% of the total weight. This study can be used as a reference for the optimal allocation of curriculum construction resources.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:2320181

DOI: 10.1155/2022/2320181

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