With the rapid development of science and technology, higher education in Inner Mongolia is ushering in unprecedented changes. Digital and intelligent educational tools provide students with a rich learning experience but also create new challenges for educators. Through a questionnaire survey of 17 universities in Inner Mongolia, this study examined the stress faced by university educators in the application of technology. The results showed that educators generally experienced technostress, and the most significant stress experienced was techno-invasion. Hence, this study recommended several strategies to assist educators in adapting to technological change and ease the technostress.
Dogan S, Dogan NA, Celik I, 2021, Teachers’ Skills to Integrate Technology in Education: Two Path Models Explaining Instructional and Application Software Use. Education and Information Technologies, 2021(26): 1311–1332.
Chen Y, 2019, Technostress in Online Learning. International Journal of Information Management, 2019(49): 424–438.
Jena RK, 2015, Technostress in ICT Enabled Collaborative Learning Environment: An Empirical Study Among Indian Academician. Computers in Human Behavior, 2015(51): 1116–1123.
Boyer-Davis S, 2020, Technostress in Higher Education: An Examination of Faculty Perceptions Before and During the COVID-19 Pandemic. Journal of Business and Accounting, 13(1): 42–58.
Brown J, Green T, 2021, Technology Stressors for University Faculty: A Mixed-Methods Study. Computers & Education, 2021(167): 104163.
Kock N, Hadaya P, 2018, Minimum Sample Size Estimation in PLS?SEM: The Inverse Square Root and Gamma?Exponential Methods. Information Systems Journal, 28(1): 227–261.
Asad MM, Erum D, Churi P, et al., 2023, Effect of Technostress on Psychological Well-Being of Post-Graduate Students: A Perspective and Correlational Study of Higher Education Management. International Journal of Information Management Data Insights, 3(1): 100149.
Ayyagari R, Grover V, Purvis R, 2011, Technostress: Technological Antecedents and Implications. MIS Quarterly, 35(4): 831–858.