Education, Science, Technology, Innovation and Life
Open Access
Sign In

Application Analysis of Big Data Technology in Art Education Curriculum System

Download as PDF

DOI: 10.23977/curtm.2023.060903 | Downloads: 9 | Views: 285

Author(s)

Ning Yang 1, Xin Sun 1, Tianyu Jiang 1

Affiliation(s)

1 College of Art and Design, Changchun Humanities and Sciences College, Changchun, Jilin, China

Corresponding Author

Ning Yang

ABSTRACT

With the arrival of the era of big data (BD) thinking and application, information technology has gradually evolved from the original technical level into people's lifestyle, which has promoted a series of educational changes. This paper mainly studies the application analysis of BD technology in art education curriculum system. This paper first analyzes the arrival of the BD era and the characteristics of the BD era, which lays a good foundation for the study of BD technology on the art education curriculum system. Then the data literacy questionnaire survey was conducted on the art students of a university, and the acceptance and understanding of BD by the art students were obtained and analyzed. Finally, it proposes to apply BD technology to reform the art education curriculum, and innovate the art education curriculum system by updating the concept, clarifying the template and exploring the reform path.

KEYWORDS

Big Data, Art Education, Curriculum System, Application Analysis

CITE THIS PAPER

Ning Yang, Xin Sun, Tianyu Jiang, Application Analysis of Big Data Technology in Art Education Curriculum System. Curriculum and Teaching Methodology (2023) Vol. 6: 16-23. DOI: http://dx.doi.org/10.23977/curtm.2023.060903.

REFERENCES

[1] Maribel, Yasmina, Santos, et al. BD: State-of-the-art Concepts, Techniques, Technologies, Modeling Approaches and Research Challenges. IAENG Internaitonal journal of computer science, 2017, 44(3):285-301.
[2] Sakr S, Zomaya A. Encyclopedia of BD Technologies || Mobile BD: Foundations, State of the Art, and Future Directions. 2018, 10.1007/978-3-319-63962-8(Chapter 46-1):1-12.
[3] Renard R D. Creating the other requires defining Thainess against which the other can exist: early-twentieth century definitions (Redefining "otherness" from Northern Thailand). tōnan ajia kenkyū, 2017, 44(3):295-320.
[4] Tzanov A. BD technologies and applications. Computing reviews, 2017, 58(8):460-461.
[5] Tounsi Y, Hassouni L, Anoun H. Credit scoring in the age of BD -A State-of-the-Art. International Journal of Computer Science and Information Security, 2017, 15(7).
[6] Ezhilraman S V, Srinivasan S. State of the art in image processing & BD analytics: Issues and challenges. International Journal of Engineering & Technology, 2018, 7(2):195-199.
[7] Paul S, Manguerra H B, Slawecki T. The State of the Art of BD Analytics - A Watershed Management Perspective. Proceedings of the Water Environment Federation, 2018, 2018(12):3209-3217.
[8] Roth S, Valentinov V, Augustinaitis A, et al. Was that capitalism? A future-oriented BD analysis of the English language area in the 19th and 20th century. Futures, 2018, 98(APR.):41-48.
[9] Arulkumar V, Latha C P, Jr D D. Concept of implementing BD in smart city: Applications, Services, Data Security in accordance with Internet of Things and AI. International Journal of Recent Technology and Engineering, 2019, 8(3).
[10] Atari M, Afhami R, Mohammadi-Zarghan S. Exploring aesthetic fluency: The roles of personality, nature relatedness, and art activities. Psychology of Aesthetics, Creativity, and the Arts, 2020, 14(1):125-131.
[11] Baig M I, Shuib L, Yadegaridehkordi E. Big data in education: a state of the art, limitations, and future research directions. International Journal of Educational Technology in Higher Education, 2020, 17(1): 1-23.
[12] Pesce D, Neirotti P, Paolucci E. When culture meets digital platforms: value creation and stakeholders’ alignment in big data use. Current Issues in Tourism, 2019, 22(15): 1883-1903.
[13] Maheshwari S, Gautam P, Jaggi C K. Role of Big Data Analytics in supply chain management: current trends and future perspectives. International Journal of Production Research, 2021, 59(6): 1875-1900.
[14] Hariri R H, Fredericks E M, Bowers K M. Uncertainty in big data analytics: survey, opportunities, and challenges. Journal of Big Data, 2019, 6(1): 1-16.
[15] Faroukhi A Z, El Alaoui I, Gahi Y, et al. Big data monetization throughout Big Data Value Chain: a comprehensive review. Journal of Big Data, 2020, 7(1): 1-22.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.