Curriculum design method for environmental art design specialty based on deep network model

This study, in response to the urgent need for modernization transformation of the teaching system of environmental art design in China, innovatively constructs a research framework that deeply integrates theory and practice. Based on systematic literature analysis, a teaching reform path centered on interdisciplinary integration was established. A breakthrough was made by introducing a deep belief network to construct an intelligent teaching quality assessment system, and a multi-level feature extraction architecture was adopted to achieve in-depth mining and intelligent analysis of teaching data. Experimental verification shows that this model significantly improves the evaluation efficiency and objectivity while maintaining the professionalism of expert assessment. The “foundation consolidation-ability advancement-Innovative practice” gradient curriculum system reconstruction plan proposed in the research has formed a replicable professional construction model, providing important theoretical support and practical guidance for the innovative development of design education in the new era, and effectively promoting the transformation and upgrading of traditional EAD majors towards digitalization and intelligence.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-08-19
DOI
https://doi.org/10.1177/14727978251366490
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
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article

Curriculum design method for environmental art design specialty based on deep network model

Zhao Liu
Journal of Computational Methods in Sciences and Engineering
Digital Media and Visual Art
article

Curriculum design method for environmental art design specialty based on deep network model

Zhao Liu
article en

Abstract

This study, in response to the urgent need for modernization transformation of the teaching system of environmental art design in China, innovatively constructs a research framework that deeply integrates theory and practice. Based on systematic literature analysis, a teaching reform path centered on interdisciplinary integration was established. A breakthrough was made by introducing a deep belief network to construct an intelligent teaching quality assessment system, and a multi-level feature extraction architecture was adopted to achieve in-depth mining and intelligent analysis of teaching data. Experimental verification shows that this model significantly improves the evaluation efficiency and objectivity while maintaining the professionalism of expert assessment. The “foundation consolidation-ability advancement-Innovative practice” gradient curriculum system reconstruction plan proposed in the research has formed a replicable professional construction model, providing important theoretical support and practical guidance for the innovative development of design education in the new era, and effectively promoting the transformation and upgrading of traditional EAD majors towards digitalization and intelligence.

Journal of Computational Methods in Sciences and Engineering
Taiyuan Normal University (CN)
Openalex Percentile: Top 62%
Digital Media and Visual Art
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Curriculum design method for environmental art design specialty based on deep network model — Zhao Liu · Journal of Computational Methods in Sciences and Engineering (2025) | TGRS Research Map | TGRS