Title: Construction of evaluation index system of architecture education based on vector analysis

Authors: Kaifeng Chu; Hui Tan; Siyao Zhang

Addresses: School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, Anhui, China ' School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, Anhui, China ' School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, Anhui, China

Abstract: In order to further improve the quality of architecture education, an architectural teaching evaluation model is constructed based on vector analysis and dynamic memory network. Among them, emotional analysis is carried out using students' comments on the teaching process as evaluation data, and the analysis results are used as the basis for teaching evaluation. The experimental results show that the designed aspect-level sentiment analysis model integrating prior knowledge (API-DMN), has a high accuracy in the sentiment classification and sentiment analysis, and its accuracy is stable at more than 80%. Therefore, the designed model can be applied to the evaluation of architecture education and teaching, and the credibility of the evaluation results is high.

Keywords: architecture; educational evaluation; vector analysis; dynamic memory network.

DOI: 10.1504/IJWMC.2024.141451

International Journal of Wireless and Mobile Computing, 2024 Vol.27 No.3, pp.256 - 266

Received: 07 Oct 2023
Accepted: 14 Jan 2024
Published online: 13 Sep 2024 *

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