RESEARCH ON THE APPLICABILITY OF AI TECHNOLOGY IN COLLEGE AESTHETIC EDUCATION

Li Jiayang, Tao Manli, Wang rui, Qu Xiaoqing, Nor saidi Mohamed Nasir

Abstract


This paper discusses the application of artificial intelligence technology in college aesthetic education. With the advancement of science and technology, especially in the field of education, the use of artificial intelligence can bring students a better learning experience. At present, there are some difficulties in the application of artificial intelligence technology in aesthetic education. Through collecting and analyzing data, some solutions and suggestions are put forward. Finally, the application model and teaching method of artificial intelligence technology in college aesthetic education are studied. Combining teaching practice, continuous improvement and optimization, and actively introducing a multidisciplinary perspective to create a set of AI teaching system, which is convenient to improve the quality and effect of aesthetic education in colleges and universities.


Full Text:

PDF

References


Aktayeva, A., Zubareva, E., Dautov, A., Saginbayeva, K., Niyazova, R., Khan, S., & Shonasheva, A. (2022). Aesthetic education: The process of teaching mathematics with the o pen-source software. Transportation Research Procedia, 63, 285–293. https://doi.org/10.1 016/j.trpro.2022.06.015

Al-Badi, A., Khan, A., & Eid-Alotaibi. (2022). Perceptions of Learners and Instructors towards Artificial Intelligence in Personalized Learning. Procedia Computer Science, 201(C), 445–451. https://doi.org/10.1016/j.procs.2022.03.058

Alhallak, K. (2023). Exploring the landscape of aesthetic pharmacy practice. Exploratory Research in Clinical and Social Pharmacy, 100319. https://doi.org/https://doi.org/10.1016/j.r csop.2023.100319

Dehouche, N., & Dehouche, K. (2023). What’s in a text-to-image prompt? The potential of stable diffusion in visual arts education. Heliyon, 9(6). https://doi.org/10.1016/j.heliyon. 2023.e16757

Duminskaya, M. V. (2015). Aesthetic Grounds of Realization of Person-oriented Model of Education. Procedia - Social and Behavioral Sciences, 166, 325–332. https://doi.org/10. 1016/j.sbspro.2014.12.531

Embarak, O. H. (2022). Internet of Behaviour (IoB)-based AI models for personalized smart education systems. Procedia Computer Science, 203, 103–110. https://doi.org/10.1016/j. procs.2022.07.015

Fan, H. (2023). Research on innovation and application of 5G using artificial intelligence-based image and speech recognition technologies. Journal of King Saud University - Sc ience, 35(4). https://doi.org/10.1016/j.jksus.2023.102626

Gong, Y. (2021). Application of virtual reality teaching method and artificial intelligence technology in digital media art creation. Ecological Informatics, 63, 101304. https://doi.or g/https://doi.org/10.1016/j.ecoinf.2021.101304

Kazim, E., Fenoglio, E., Hilliard, A., Koshiyama, A., Mulligan, C., Trengove, M., Gilbert, A., Gwagwa, A., Almeida, D., Godsiff, P., & Porayska-Pomsta, K. (2022). On the sui generis value capture of new digital technologies: The case of AI. In Patterns (Vol. 3, Issue 7). Cell Press. https://doi.org/10.1016/j.patter.2022.100526

Kazim, E., & Koshiyama, A. S. (2021). A high-level overview of AI ethics. In Patterns (V ol. 2, Issue 9). Cell Press. https://doi.org/10.1016/j.patter.2021.100314

Khosravi, H., Denny, P., Moore, S., & Stamper, J. (2023). Learner sourcing in the age of A I: Student, educator and machine partnerships for content creation. Computers and Education: Artificial Intelligence, 5, 100151. https://doi.org/10.1016/j.caeai.2023.100151

Luckin, R., Cukurova, M., Kent, C., & du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.c aeai.2022.100076

Nithin, G., & Bhooshan, R. S. (2016). ARTAR-Artistic Augmented Reality. Procedia Techno logy, 24, 1468–1474. https://doi.org/10.1016/j.protcy.2016.05.183

Oksanen, A., Cvetkovic, A., Akin, N., Latikka, R., Bergdahl, J., Chen, Y., & Savela, N. (2 023). Artificial intelligence in fine arts: A systematic review of empirical research. Computers in Human Behavior: Artificial Humans, 1(2), 100004. https://doi.org/10.1016/j.c hbah.2023.100004

Sajnani, N., Mayor, C., & Tillberg-Webb, H. (2020). Aesthetic presence: The role of the art s in the education of creative arts therapists in the classroom and online. Arts in Psychotherapy, 69. https://doi.org/10.1016/j.aip.2020.101668

Sein Minn. (2022). AI-assisted knowledge assessment techniques for adaptive learning environments. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.ca eai.2022.100050

Skowronek, M., Gilberti, R. M., Petro, M., Sancomb, C., Maddern, S., & Jankovic, J. (202 2). Inclusive STEAM education in diverse disciplines of sustainable energy and AI. En ergy and AI, 7. https://doi.org/10.1016/j.egyai.2021.100124

Somasundaram, M., Mohamed Junaid, K. A., & Mangadu, S. (2020). Artificial intelligence (AI) enabled intelligent quality management system (IQMS) for personalized learning p ath. Procedia Computer Science, 172, 438–442. https://doi.org/10.1016/j.procs.2020.05.09 6

Southworth, J., Migliaccio, K., Glover, J., Glover, J. N., Reed, D., McCarty, C., Brendemuh l, J., & Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100127

Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. In Computers and Education: Artificial Intelligence (Vol. 2). Elsevier B.V. https://doi.org/10.1016/j.caeai.2021.100025

Zhu, H., Zhou, Y., Li, Q., & Shao, Z. (2022). Personality modeling from image aesthetic attribute-aware graph representation learning. Journal of Visual Communication and Image Representation, 89, 103675. https://doi.org/https://doi.org/10.1016/j.jvcir.2022.103675


Refbacks

  • There are currently no refbacks.


This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting copy and redistribute the material in any medium or format.