scholarly journals Intelligent Environmental Art Design Combining Big Data and Artificial Intelligence

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yanxia Li

The widespread use of artificial intelligence in the field of design teaching has become a development trend, and for the art design profession, we should conform to and actively adapt to this development trend, change the original teaching mode, innovate their own teaching methods, constantly enrich the teaching methods, so as to improve the quality of teaching, and constantly cultivate high-quality art design talents in the new era. For the subject students, they grow up under the Internet. They are more affectionate to many new technologies, and the traditional teaching methods have some problems to meet their learning needs, so it is very necessary to introduce artificial intelligence in teaching. In this paper, we will discuss the optimization of the curriculum system of art design in higher education institutions in the context of artificial intelligence. The purpose of guiding the innovation of environmental art design thinking is to stimulate students’ learning ability and innovation ability and learn to use design ideas in practice. Integrating design thinking with artificial intelligence gets four innovative ways of culture, form, function, and emotion in terms of innovation at the design thinking level; in terms of thinking innovation guidance, it gets the guidance of role transformation and model practice, integrating artificial intelligence with environmental art design thinking, designing interactive spaces more in line with the times, and promoting the harmonious development of human and nature.

2021 ◽  
Vol 7 (5) ◽  
pp. 4101-4110
Author(s):  
Song Nan ◽  
Zhang Xiaodong ◽  
Peng Changrong

Environmental art mainly uses the collocation of color and spatial structure for landscape layout. Different environmental styles have different artistic characteristics. In order to better design the environmental space, this paper puts forward the intelligent analysis method of artistic environmental construction style based on artificial intelligence technology. By analyzing the environment into characteristics and the environmental style into process, the direction of environmental art design is innovated while the environmental design is carried out reasonably.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bixia Yan

Nowadays, there are few researches on using multimedia animation technology to assist basketball tactics teaching and training in college physical education. The research of multimedia animation assisting basketball tactics teaching can help promote the current teaching mode, teaching environment, and teaching methods. From the perspective of the development trend of modern education and the benefits of multimedia technology in physical education teaching, this article demonstrates the inevitability of applying multimedia technology in college basketball teaching and demonstrates the feasibility of implementing multimedia physical education in colleges and universities from the three aspects of multimedia teaching environment, teacher teaching ability analyzes the factors that affect the effect of multimedia-assisted teaching. Students’ acceptance characteristics of the multimedia environment are obtained. Relevant research results and suggestions on the use of multimedia animation in basketball tactics teaching will be submitted. Research shows the ability and student’s learning ability. It analyzes the effects of multimedia-assisted teaching in basketball tactics. In this article, at 84% of teachers feel that multimedia-assisted teaching is better. However, some objective factors restrict teachers’ use of multimedia-assisted teaching methods. Among them, poor production technology and inconvenient use are the main factors that teachers think affect the application of multimedia-assisted teaching methods in actual teaching, and these influencing factors are difficult to eliminate in a short time.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Pengfei Ma ◽  
Zunqian Zhang ◽  
Jiahao Wang ◽  
Wei Zhang ◽  
Jiajia Liu ◽  
...  

In recent years, artificial intelligence supported by big data has gradually become more dependent on deep reinforcement learning. However, the application of deep reinforcement learning in artificial intelligence is limited by prior knowledge and model selection, which further affects the efficiency and accuracy of prediction, and also fails to realize the learning ability of autonomous learning and prediction. Metalearning came into being because of this. Through learning the information metaknowledge, the ability to autonomously judge and select the appropriate model can be formed, and the parameters can be adjusted independently to achieve further optimization. It is a novel method to solve big data problems in the current neural network model, and it adapts to the development trend of artificial intelligence. This article first briefly introduces the research process and basic theory of metalearning and discusses the differences between metalearning and machine learning and the research direction of metalearning in big data. Then, four typical applications of metalearning in the field of artificial intelligence are summarized: few-shot learning, robot learning, unsupervised learning, and intelligent medicine. Then, the challenges and solutions of metalearning are analyzed. Finally, a systematic summary of the full text is made, and the future development prospect of this field is assessed.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Juqing Deng ◽  
Xiaofen Chen

Background. With the continuous maturity of computer software and hardware technology, the theory and method of computer-aided art design have developed rapidly. Objective. Applying artificial intelligence theory to computer-aided process art design is one of the newly developed research hotspots, and it is also the development trend of industrial design modernization. Methods. On the one hand, it can transplant the research results in the field of artificial intelligence into computer-aided art design, and on the other hand, it expands the application field of artificial intelligence, so that the two can be perfectly combined to promote common development. Results. With the development of artificial intelligence technology, computer art has gradually become a very active field, and a large number of computer art works are available every year. Conclusions. This paper briefly describes the basic concepts of computer-aided art design and artificial intelligence and discusses the application of artificial intelligence in computer-aided art design.


2020 ◽  
Vol 13 (26) ◽  
pp. 23-29
Author(s):  
José Carlos Magro Junior ◽  
João Carlos Riccó Placido da Silva

Teaching has always appropriated concepts from antiquity to develop its pedagogical methods. Contemporary society has had changes in social life and human interaction, the emergence of new technologies and the connected world has developed generations that need other forms of information in addition to traditional ones. This factor creates the need to develop new teaching methods, using new tools to improve the pedagogical forms of learning. The present work seeks to present methods that help the reflection on the current methods of education presenting new forms of approach such as Design Thinking and the constructivist teaching method. For this, it uses several scientific publications that have already been validated and proven, drawing a parallel with the possible applications of methods in teaching. These encourage new content and complex interrelationships of information among teachers, providing group problem solving and receiving feedback on the results obtained, allowing new learning processes.


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