Analysis of the influencing factors of online classes satisfaction based on text mining Take MOOC platform art education online classes as an example
DOI:
https://doi.org/10.54097/ehss.v2i.817Keywords:
User satisfaction, art online education, sentiment analysis, LDA model.Abstract
The normalization of the epidemic and the convenience of online classes have led to the rapid rise of online education courses. The MOOC teaching platform represents the online course field and is popular in various disciplines. Unlike disciplines such as natural science and engineering technology, art education courses require real-time emotional expression and transmission. However, the existing technical framework is difficult to support the interactive needs of art teaching mode, and the learning effect of art students is not ideal, and the user The learning effect of art students is not ideal, and the phenomenon of low user satisfaction and low willingness to continue learning is more serious. Based on the above background, this paper uses Python to crawl the review texts of art online courses and summarizes the factors influencing students' satisfaction with art education online courses through sentiment analysis and LDA model to provide valuable references for the quality of art online education.
Downloads
References
Wang, Juan & Liu, Wei. (2022). A study on the factors influencing the sticky behavior of online course users. China Distance Education(03),61-67+75. doi:10.13541/j.cnki.chinade.2022.03.006.
Mc Auley, M. T., Proctor, C. J., Corfe, B. M., Cuskelly, G. J., & Mooney, K. M. (2013). Nutrition research and the impact of computational systems biology. Journal of Computer Science & Systems Biology, 6(5), 271-285.
Ma, Yun, Zheng, Yanlin & Shi, Huishan. (2017). A study on the current status of subject distribution of MOOC in domestic universities. Modern Distance Education(01),11-19. doi:10.13927/j.cnki.yuan.2017.0002.
Lee, Zeng-Hui. (2017). Research on the construction of a mobile cloud platform for art teaching under the concept of perceptual art education. Journal of Hunan University of Science and Technology (Social Science Edition)(05),175-180. doi:10.13582/j.cnki.1672-7835.2017.05.027.
Wang, Yi, Liu, Zhimin, Liu, Chundi, Jiang, Hongliang & Li, Xinxing. (2014). Design and implementation of a mobile video resource platform for art education. Modern Education Technology (10),68-72.
Wang, Y.F., Qian, S.J., Zhao, J.Y. & Yan, M.X.. (2017). The application of MOOC-based flipped classroom in "literature search and scientific paper writing". Wireless Internet Technology (20),85-87.
Liu, Y., Ji, J.M., Li, N., Zeng, Y., Li, J.X., Zhu, S.Q. & Kang, J.. (2021). Research on the construction of teaching quality evaluation system of MOOC courses from students' perspective: an example of MOOC courses in academic information literacy. Library Journal. (02),95-103. doi:10.13663/j.cnki.lj.2021.02.011.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
