Research on Acceptance of Digital Education Platforms after the Epidemic Using Clustering Method
These authors contributed equally to this work and should be considered co-second author.
- https://doi.org/10.2991/assehr.k.220504.245How to use a DOI?
- digital education; platforms development; exploratory data analysis (EDA); K-Prototype clustering
In recent years, the use of e-education platforms in various stages of education has increased significantly. The outbreak of COVID-19 in 2020 disturb offline education by forcing numbers of students to stay at home. This essay use integrated methods to explore the integrated development characteristics of digital platforms. Adopting exploratory data analysis (EDA) and K-Prototype clustering methods are conducted comprehensive research on the characteristics of digital education platforms after the epidemic.
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Cite this article
TY - CONF AU - Yuexin Jiang AU - Shuyu Cai AU - Adrian Chu AU - Yanming Chen PY - 2022 DA - 2022/06/01 TI - Research on Acceptance of Digital Education Platforms after the Epidemic Using Clustering Method BT - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022) PB - Atlantis Press SP - 1357 EP - 1362 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220504.245 DO - https://doi.org/10.2991/assehr.k.220504.245 ID - Jiang2022 ER -