Abstract
The global integration of AI and robotics (AI/R) in elderly care has immense potential, but significant educational gaps persist, especially in developing countries. To address this, we surveyed 188 undergraduate healthcare students in Vietnam in June 2023. Our aim was to assess their interest in AI/R applications in elderly care and identify educational deficiencies. Using a Likert-style questionnaire with two scales (AI non-physical work and robotic physical work), we found that a majority of respondents showed keen interest in AI/R in elderly care, despite lacking formal education on these topics. Regarding AI non-physical work, the students found applications like communication support with medical staff (M=3.9, SD=0.83), controlling lights and devices (M=3.9, SD=0.81), and providing patient reminders (M=3.89, SD=0.84) highly applicable. Regarding robotic physical work, they considered applications such as heavy lifting assistance (M=3.88, SD=0.84), room/house cleaning (M=3.86, SD=0.84), and patient feeding (M=3.81, SD=0.83) highly relevant. These findings highlight the urgent need to address the lack of formal AI/R education for undergraduate healthcare students in Vietnam. Bridging this knowledge gap is crucial to equip future healthcare professionals with the skills to leverage AI/R technologies effectively in elderly care and enhance healthcare services in the country.
Author Information
Hoang-Nam Tran, Tokushima University, Japan
Ngoc-Quang Phan, Thai Binh University of Medicine and Pharmacy, Vietnam
The-Diep Nguyen, Thai Binh University of Medicine and Pharmacy, Vietnam
Trung-Kien Nguyen, Thai Binh University of Medicine and Pharmacy, Vietnam
Tuan-Dat Pham, Thai Binh University of Medicine and Pharmacy, Vietnam
Bao-Ngoc Dang, VinUniversity, Vietnam
Paper Information
Conference: AGen2024
Stream: Built Environment
This paper is part of the AGen2024 Conference Proceedings (View)
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To cite this article:
Tran H., Phan N., Nguyen T., Nguyen T., Pham T., & Dang B. (2024) Assessing Interest and Educational Gaps in AI and Robotics Applications for Elderly Care Among Healthcare Students ISSN: 2432-4183 The Asian Conference on Aging & Gerontology 2024: Official Conference Proceedings https://doi.org/10.22492/issn.2432-4183.2024.1
To link to this article: https://doi.org/10.22492/issn.2432-4183.2024.1
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