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Vol.13, No.4, November 2024. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
An Analysis of Technostress Factors Among Teachers in Hunan, China Through Statistical Methods and K-means Clustering
Siyu Li, Chia Yean Lim, Sau Loong Ang
© 2024 Chia Yean Lim, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 13, Issue 4, Pages 3231-3240, ISSN 2217-8309, DOI: 10.18421/TEM134-57, November 2024.
Received: 10 April 2024. Revised: 11 August 2024.
Abstract:
The adoption of information technology for teaching and learning activities has caused technostress among teachers. The China teachers’ technostress research in the past few years was limited to factors such as techno-overload, techno-complexity, techno-insecurity, techno-uncertainty, and technoinvasion, and neglected an emerging factor which is the new technology adoption. Moreover, all the technostress research did not identify the teachers’ groups according to the technostress factors for further deliberations. This research covers the scope of technostress factors identification and teacher cluster generation among teachers in Hunan, China. A questionnaire was adopted to gather the teachers’ agreement on five technostress factors, and the responses were measured with statistical methods. The findings showed that all investigated factors have positive and significant relationships with technostress among Hunan, China’s teachers. The teachers were clustered into five distinct clusters with the K-means clustering method. This research discovered new technology adoption as a new technostress factor and successfully clustered the teachers into significant clusters to enable China’s Education Department to provide targeted technological training to the teachers.
Keywords – Clustering, new technology adoption, statistical analysis, teachers, technostress. |
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