The influence and function of the public art industry on aesthetic education under the background of new curriculum reform

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Yihui Huang
Gangqiang Zheng


This study takes the decoration of subway murals in the new era as the research entry point, and focuses on the impact of the new era curriculum reform on art education. Then, from the perspective of the artistic connotation and form evaluation of subway murals, it elaborates on the artistic design points of subway murals, and focuses on analyzing the application value of subway murals in enhancing an urban vitality, enhancing urban aesthetic value, inheriting regional culture, and displaying urban image, Furthermore, the overall cultural value of subway murals was analyzed. Finally, starting from the new forms of art education under the influence of public art, this paper explores the practical significance of unleashing students' independent potential and fully integrating with art practice for aesthetic education. After that, it introduces the application of modern technology in public art education, and comprehensively proposes the guiding role of public art in aesthetic education. Research has found that aesthetic education in the new era should follow the social laws of public art development, emphasizing the "combination" of spatial cultural expression and location orientation, the "connection" of spatial cultural layout points, lines, and surfaces, and the "integration" of traditional culture and modern civilization in the education process. By "combining", "connecting", and "integrating", a personalized cultural expression of the site is formed, thereby forming a cultural system for the integrated development of the line and network. In the new era of art education, attention should be paid to regional culture as the soul of urban personality quality. The "environmental characteristic information" contained in it is a design source that stitches the underground and above ground environmental zones, endowing similar spatial structures of subway stations with significant recognition and memory points.


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Huang, Y., & Zheng, G. (2023). The influence and function of the public art industry on aesthetic education under the background of new curriculum reform. Herança, 6(2), 174–190.


Arcidiacono, P., Aucejo, E. M., & Hotz, V. J. (2016). University differences in the graduation of minorities in STEM fields: Evidence from California. American Economic Review, 106(3), 525-562.

Bernal, J., Sánchez, F. J., Fernández-Esparrach, G., Gil, D., Rodríguez, C., & Vilariño, F. (2015). WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. Saliency maps from physicians. Computerized medical imaging and graphics, 43, 99-111.

Bonastre, C., Muñoz, E., & Timmers, R. (2017). Conceptions about teaching and learning of expressivity in music among Higher Education teachers and students. British Journal of Music Education, 34(3), 277-290.

Borji, A. (2018). Negative results in computer vision: A perspective. Image and Vision Computing, 69, 1-8.

Campana, A. (2011). Agents of possibility: Examining the intersections of art, education, and activism in communities. Studies in Art Education, 52(4), 278-291.

Carpenter, B. S., & Tavin, K. M. (2010). Drawing (past, present, and future) together: A (graphic) look at the reconceptualization of art education. Studies in Art Education, 51(4), 327-352.

Carr, C. T., & Hayes, R. A. (2015). Social media: Defining, developing, and divining. Atlantic journal of communication, 23(1), 46-65.

Daubney, A., & Fautley, M. (2020). Editorial Research: Music education in a time of pandemic. British Journal of Music Education, 37(2), 107-114.

Eisner, E. W. (1984). Alternative approaches to curriculum development in art education. Studies in art education, 25(4), 259-264.

Emery, L. (2002). Censorship in contemporary art education. International Journal of Art & Design Education, 21(1), 5-13.

Goes, D. (2021). Urban Art and Tourism: a contradiscursive proposal on artistic practices in urban public space and the impacts of tourism. Herança, 4(1), 033-048.

Gould, J. L. (2014). Héctor Lindo-Fuentes and Erik Ching, Modernizing Minds in El Salvador: Education Reform and the Cold War, 1960-1980. Journal of Latin American Studies, 46(4), 834-836.

Granville, G. (2011). ‘The falcon cannot hear the falconer…’. The pedagogical turn and the negative space of Irish art education. International Journal of Art & Design Education, 30(3), 349-362.

Granville, G. (2012). Shifting the paradigm of education reform?. In G. Granville (Ed.), Art Education and Contemporary Culture (pp. 3-10). Bristol, UK: Intellect.

Green, F., & Henseke, G. (2016). Should governments of OECD countries worry about graduate underemployment?. Oxford Review of Economic Policy, 32(4), 514-537.

Greene, M. (1992). Texts and margins. In M. R. Goldberg & A. Phillips (Eds.), Art as Education (pp. 1-17). Cambridge, MA: Harvard Education Review.

Hayes, L. (2017). Sound, electronics, and music: A radical and hopeful experiment in early music education. Computer Music Journal, 41(3), 36-49.

Henderson, M., Selwyn, N., & Aston, R. (2017). What works and why? Student perceptions of ‘useful’digital technology in university teaching and learning. Studies in higher education, 42(8), 1567-1579.

Kampelmann, S., & Rycx, F. (2012). The impact of educational mismatch on firm productivity: Evidence from linked panel data. Economics of Education Review, 31(6), 918-931.

Kraehe, A. M., & Acuff, J. B. (2013). Theoretical considerations for art education research with and about "underserved populations". Studies in Art Education, 54(4), 294-309.

Kupets, O. (2016). Education-job mismatch in Ukraine: Too many people with tertiary education or too many jobs for low-skilled?. Journal of Comparative Economics, 44(1), 125-147.

Liu, C. & Song, X. (2023). Impact of traditional dresses on education and sense of patriotism through intervening effect of cultural awareness. Educational Administration: Theory and Practice, 29(2), 227-244.

Milbrandt, M. K. (1998). Postmodernism in art education: content for life. Art Education, 51(6), 47-54.

Mukunda, N., Moghbeli, N., Rizzo, A., Niepold, S., Bassett, B., & DeLisser, H. M. (2019). Visual art instruction in medical education: a narrative review. Medical education online, 24(1), 1558657.

O’Donoghue, H. (2014). Education in the visual arts and participatory arts. In C. Marshall & P. Murray (Eds.), Art and Architecture of Ireland, Volume V, Twentieth Century (152-157). Dublin, Ireland: Royal Irish Academy.

Patel, K. K., Kar, A., Jha, S. N., & Khan, M. A. (2012). Machine vision system: a tool for quality inspection of food and agricultural products. Journal of food science and technology, 49(2), 123-141.

Ranft, B., & Stiller, C. (2016). The role of machine vision for intelligent vehicles. IEEE Transactions on Intelligent Vehicles, 1(1), 8-19.

Rehman, T. U., Mahmud, M. S., Chang, Y. K., Jin, J., & Shin, J. (2019). Current and future applications of statistical machine learning algorithms for agricultural machine vision systems. Computers and electronics in agriculture, 156, 585-605.

Robie, A. A., Seagraves, K. M., Egnor, S. R., & Branson, K. (2017). Machine vision methods for analyzing social interactions. Journal of Experimental Biology, 220(1), 25-34.

Salas-Velasco, M. (2020). The technical efficiency performance of the higher education systems based on data envelopment analysis with an illustration for the Spanish case. Educational Research for Policy and Practice, 19(2), 159-180.

Shu Y., Xiong C., & Fan, S. (2020). Interactive design of intelligent machine vision based on human-computer interaction mode. Microprocessors and Microsystems, 75, 103059.

Siegesmund, R. (2012). Emergent outcomes: Inquiry, qualitative reasoning and the aesthetics of care. Art education and contemporary culture: Irish, experiences, and international perspectives, 263-282.

Sims, W. L., & Cassidy, J. W. (2020). Impostor feelings of music education graduate students. Journal of Research in Music Education, 68(3), 249-263.

Somers, M. A., Cabus, S. J., Groot, W., & van den Brink, H. M. (2019). Horizontal mismatch between employment and field of education: Evidence from a systematic literature review. Journal of Economic Surveys, 33(2), 567-603.

Talipov, N. X., & Aliev, N. S. (2021). The importance of perspective in teaching art to future fine arts teachers. Asian Journal of Multidimensional Research (AJMR), 10(2), 97-103.

Tobias, E. S. (2015). Crossfading music education: Connections between secondary students’ in-and out-of-school music experience. International Journal of Music Education, 33(1), 18-35.

Van der Merwe, L., & Habron, J. (2015). A conceptual model of spirituality in music education. Journal of Research in Music Education, 63(1), 47-69.

Verhaest, D., Sellami, S., & Van der Velden, R. (2017). Differences in horizontal and vertical mismatches across countries and fields of study. International Labour Review, 156(1), 1-23.

Vithu, P., & Moses, J. A. (2016). Machine vision system for food grain quality evaluation: A review. Trends in Food Science & Technology, 56, 13-20.

Wang, A., Zhang, W., & Wei, X. (2019). A review on weed detection using ground-based machine vision and image processing techniques. Computers and electronics in agriculture, 158, 226-240.

Zamfir, A. M., Militaru, E., Mocanu, C., & Lungu, E. O. (2020). School-to-Work Transition of Higher Education Graduates in Four European Countries. Compare: A Journal of Comparative and International Education, 50(1), 36-52.

Liu, Q., Louis, P. C., Lu, Y., Jha, A., Zhao, M., Deng, R., ... Huo, Y. (2021). Simtriplet: Simple triplet representation learning with a single GPU. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part II 24 (pp. 102-112). Cham, Switzerland: Springer International Publishing.