Abstract
Online teaching has become an important form of regular teaching in higher education institutions, and teachers’ input in online teaching is directly related to the quality of online teaching. A K-means cluster analysis of teachers’ teaching behaviours in the online teaching platform of Sanya Aviation and Tourism College and a comparison of the mean values of each semester’s behaviours reveal that teachers’ overall online teaching input is insufficient and their online teaching behaviours need to be optimized; their teaching energy has improved and their online teaching resources are more completed; their teaching emotional input is seriously lacking and their online interaction needs to be strengthened. To address these problems, the following measures can be taken: improve teachers’ incentives to increase the overall investment in online teaching; change teachers’ roles to strengthen the emotional investment in online teaching; and strengthen teachers’ training to enhance online teaching design skills.
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Acknowledgments
Project supported by the Education Department of Hainan Province, project number: Hnky2022ZD-25.
Project supported by Sanya Aviation and Tourism CollegeThe ideological and political specialproject number: SATC2023SZ-04.
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Ou, Zp., Zhang, H., Liu, X. (2023). A Study on the Online Teaching Input of Higher Education Teachers Based on K-Means Analysis. In: Yu, Z., et al. Data Science. ICPCSEE 2023. Communications in Computer and Information Science, vol 1880. Springer, Singapore. https://doi.org/10.1007/978-981-99-5971-6_31
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DOI: https://doi.org/10.1007/978-981-99-5971-6_31
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