Approaching the ‘Death of Socrates’ through art education. A teaching proposal and the introduction of a new typology for teaching with similar artworks.

Zagkotas, Vasileios; Fykaris, Ioannis

doi:10.1017/s2058631021000556

Cited by 7 publications

(4 citation statements)

References 8 publications

(11 reference statements)

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“…In the wake of this trend, the field of education is undergoing profound changes, presenting new opportunities for fostering students' comprehensive abilities and innovative thinking [4][5]. As an essential component for cultivating students' aesthetic emotions and creative capabilities, art education naturally should fully leverage these emerging technologies to make teaching more dynamic and responsive to students' needs [6][7][8].…”

Section: A Research Background and Motivationsmentioning

confidence: 99%

The Analysis of Artificial Intelligence Digital Technology in Art Education Under the Internet of Things

Fang,

Jiang

2024

IEEE Access

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This study aims to explore the integration of Internet of Things (IoT) technology and artificial intelligence (AI) in art education, assessing its impact on learners' experiences and learning outcomes. The study first proposes a digital teaching system that enables the IoT and Generative Adversarial Networks (GANs) to play a role in art education by monitoring students' creative state in real-time, providing immediate feedback, and facilitating the generation of creative works. The system framework includes sensor nodes, an IoT platform, a GAN model, and a user interface to build a real-time interactive environment. Sensor nodes constantly collect physiological, movement, and environmental data from students, and the GAN model receives student data from the IoT platform, combining creative input from students to generate artwork in real-time. The generated works are transmitted to the discriminator through the IoT platform, which evaluates their quality and provides real-time feedback. Students interact with the system through the user interface, observe the generated artwork, adjust generator parameters, and propose new ideas. These interactions influence further artistic creation. The WikiArt public art creation dataset is selected to establish the experimental foundation, and the experimental evaluation focuses on image generation quality, system performance, and student learning outcomes. It is compared with Deep Convolutional Generative Adversarial Network (DCGAN) and Variational Autoencoder (VAE) models. The research results indicate that the designed IoT and GANs integrated system remarkably outperforms DCGAN and VAE in image generation quality, with an Inception Score of 4.5, which is more diverse and recognizable than other models. Regarding system performance, the IoT and GANs integrated system is significantly ahead in image generation speed and user interaction, with a transmission speed of up to 200 Mbps. Regarding student learning outcomes, the system performs excellently in emotional feedback, learning outcomes, and creative work quality, achieving 80% satisfaction and 90% positive feedback. Overall, the research conclusion clearly points out that the integration of IoT and GANs has a significant and comprehensive effect on improving the quality of art education. This study expands the field of art education by integrating IoT and GANs, enhancing students' creative experiences, and providing innovative methods for art teaching in the digital age.

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Section: A Research Background and Motivationsmentioning

confidence: 99%

The Analysis of Artificial Intelligence Digital Technology in Art Education Under the Internet of Things

Fang,

Jiang

2024

IEEE Access

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“…􏼉 is used, and the following two formulas can be obtained: After substituting equation (7) into equation ( 8), and then substituting equation (8) into equation (7), it can be gotten:…”

Section: Attribute Matching Likelihood Estimation Now Howmentioning

confidence: 99%

Construction of Digital Art Education Platform under the “Internet+” Environment

Zhang

2023

Mobile Information Systems

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With the development of society and the rapid development of the Internet, there are currently about 100 million web pages and 100 million hyperlinks, and in the future, the number of web pages and hyperlinks will also intensify. How to make this huge Internet better used by people has become a common concern of the international community. In recent years, with the acceleration of the reform of China’s basic education curriculum, people have become more and more aware of the special status and superiority of art education in overall education, and the general consensus that “lack of art education is an incomplete education.” Therefore, this paper proposes the construction of a platform for digital art education under the “Internet+” environment. This paper first introduces how to perform data mining in the Internet era, and proposes an interactive data fusion algorithm and model for Internet and crowdsourcing. Then, a statistical analysis was made on the preschool art education syllabus of 20 colleges and universities in different provinces and cities. The experimental results have shown that there are eight undergraduate colleges and universities that have not written syllabuses for College Aesthetic Education majors in art courses, and they still account for 40% of the total sample size. This shows that some Chinese colleges and universities have not paid enough attention to the art courses of College Aesthetic Education majors, have loopholes in curriculum management, and neglected teaching staff.

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“…Macarow et al 5 has created, promoted and documented a range of socially engaged arts and innovative medical practices in his exploration of end-of-life in a Stockholm nursing home. Zagkotas and Fykaris 6 formed a teaching program based on Harvard University’s “Artistic Thinking Project”. However, the teaching method of public art majors proposed by them is not very effective.…”

Section: Introductionmentioning

confidence: 99%

Construction of teaching system of public art major using CMOS image sensor technology

Yang

2024

Sci Rep

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The traditional public art education model has many drawbacks. After all, this teaching model is the most common teaching model. Most colleges and universities still rely on the traditional teaching mode. This teaching mode is not attractive, boring, and low cost, so the popularity rate is high. The digital interactive design with multimedia courseware as the main body has played a great role in promoting the teaching of public art education in colleges and universities. In this paper, when teachers use multimedia courseware for teaching, because the computer cannot process physical signals, part of the hardware is a converter that converts physical signals such as light and pictures received by the CMOS sensor into digital signals and inputs them to digital signals and analog signals. Through the converter, the two-way transmission of teacher and student information in the teaching process of public art majors from the perspective of diversified public art was realized. At the same time, the information elements of sound, image and text were integrated into the interactive works of public art majors from the perspective of diverse public art, so as to stimulate students’ interest in public art learning. Combined with the application of CMOS image sensor technology in diversified public art teaching, a questionnaire survey was conducted to explore the satisfaction of students in public art education and teaching of colleges and universities by CMOS image sensor technology, 50% of the students agreed with the proposal in this article. In this paper, the diversified public art teaching based on CMOS image sensor technology was derived outside the classroom, and the teaching was related to students’ life, so as to improve the artistic atmosphere of the campus and truly improve the teaching effect of public art education in colleges and universities.

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Approaching the ‘Death of Socrates’ through art education. A teaching proposal and the introduction of a new typology for teaching with similar artworks.

Cited by 7 publications

References 8 publications

The Analysis of Artificial Intelligence Digital Technology in Art Education Under the Internet of Things

The Analysis of Artificial Intelligence Digital Technology in Art Education Under the Internet of Things

Construction of Digital Art Education Platform under the “Internet+” Environment

Construction of teaching system of public art major using CMOS image sensor technology

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