Solux College of Architecture and Design, University of South China, Hengyang 421001, Hunan, China.
Comput Intell Neurosci. 2022 Aug 25;2022:1366418. doi: 10.1155/2022/1366418. eCollection 2022.
At present, art education curriculum reform is in full swing. Art education in China started late but as an important element of quality education. Art education is particularly important today with rapid economic development and advanced technology. The art subject is the sum of the teaching content of the art subject and the execution of teaching activities expressed through the network, including two components: the teaching content organized according to specific teaching objectives and teaching strategies and the network teaching support environment. Unlike existing multimedia courseware, several features reflect the advantages of online education, unlike online courseware. Each school generates a large amount of student performance data every year, and existing systems only perform simple backups, queries, and statistics on these data, which do not reflect the weaknesses of education in a centralized and comprehensive manner. Data mining can extract valuable information hidden behind the data from a large amount of data and has been applied in more and more fields with good results, which helps people to make correct decisions. In this study, we propose a decision tree model-based repository and search platform for school art and painting education resources, briefly outline the decision tree model, and analyze the architecture and operation of the school art and painting education resources repository and search platform. The experimental results show that the Virginica accuracy of the decision tree model is 0.42 higher than that of C4.5, which greatly improves the accuracy of the preferred class and ensures the overall accuracy remains unchanged. Therefore, this system realizes the art education resource repository system and realizes the needs of college users to share art professional information and resources.
目前，艺术教育课程改革正在全面展开。中国的艺术教育起步较晚，但作为素质教育的重要组成部分，在经济快速发展和先进技术的今天，艺术教育显得尤为重要。艺术学科是艺术学科教学内容与网络表现的教学活动的总和，包括两个组成部分：根据具体教学目标和教学策略组织的教学内容和网络教学支持环境。与现有的多媒体课件不同，它具有几个特点，体现了在线教育的优势，而不是在线课件。每所学校每年都会生成大量学生表现数据，而现有系统仅对这些数据进行简单的备份、查询和统计，不能集中、全面地反映教育的薄弱环节。数据挖掘可以从大量数据中提取隐藏在数据背后的有价值的信息，并已在越来越多的领域得到应用，取得了良好的效果，有助于人们做出正确的决策。在这项研究中，我们提出了一个基于决策树模型的学校艺术绘画教育资源存储库和搜索平台，简要概述了决策树模型，并分析了学校艺术绘画教育资源存储库和搜索平台的架构和操作。实验结果表明，决策树模型的 Virginica 准确率比 C4.5 高 0.42，大大提高了首选类别的准确率，并确保整体准确率保持不变。因此，该系统实现了艺术教育资源存储库系统，实现了高校用户对艺术专业信息和资源的共享需求。
