Research on Influencing Factors of Teaching Quality of BIM Bidding Course of Engineering Cost Specialty based on AHP
- DOI
- 10.2991/978-94-6463-040-4_223How to use a DOI?
- Keywords
- Teaching quality; Analytic hierarchy process; Influence factor
- Abstract
With the development of BIM technology, the integration of BIM technology into curriculum teaching becomes more and more important. In order to effectively evaluate the teaching quality of BIM courses and clarify the influencing factors of curriculum teaching quality and the weight of each factor, this paper analyzes and studies the influencing factors of teaching quality of BIM bidding course of Engineering Cost specialty based on analytic hierarchy process, establishes a hierarchical structure model, constructs judgment matrix and determines the weight of each factor, an example is given to verify it. The analysis shows that among the factors at the criterion level, students account for the largest weight, followed by teachers. The mastery of students' professional basic knowledge and teachers' mastery of BIM bidding software at the scheme level are the key factors.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hui Lu PY - 2022 DA - 2022/12/27 TI - Research on Influencing Factors of Teaching Quality of BIM Bidding Course of Engineering Cost Specialty based on AHP BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 1492 EP - 1497 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_223 DO - 10.2991/978-94-6463-040-4_223 ID - Lu2022 ER -