Based on Technology Acceptance Model of “Teachable Moment” for the Elderly Under the Risk of Epidemic Diseases Empirical Research in Respect (67518)

Session Information: Navigating Aging and Illness
Session Chair: Oliver Micke

Saturday, 1 April 2023 16:25
Session: Session 4
Room: Room 707
Presentation Type:Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

This study aims to examine the impact of the COVID-19 epidemic on the use of technology in elderly and long-term care institutions. The widespread use of mobile devices such as cell phones during the epidemic has led to an increase in distance learning and video greetings, promoting the use of hybrid learning in this field. The study will focus on elderly learning centers, community care bases, and daycare centers, and will use a hierarchical clustering sampling method with a causal path model and questionnaire survey to gather data from 150 samples. The study aims to answer the following questions: (1) How have the elderly persons' technology habits changed due to the risk of the epidemic, and what are the influences of "technology acceptance mode" on their "blended learning activities" and "digital health literacy", (2) What is the technology acceptance mode of institution managers and their workload performance before and after the courses were stopped due to the epidemic, and what is the impact of hybrid learning on the satisfaction of elderly persons. The study will also provide effective coping strategies for long-term care and elderly institutions during epidemics or other similar crises in the future.

Yi-Hui Liu, National Taichung University of Science and Technology, Taiwan
Jing-Wei Liu, National Taiwan University of Sport, Taiwan

About the Presenter(s)
Professor Yi-Hui Liu is a University Associate Professor/Senior Lecturer at National Taichung University of Science and Technology in Taiwan

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00