From empathy to quality long-term care
A generative AI-based art therapy approach based on the self-directed learning model
Bibliographic Data
| ID | 21632883 |
|---|---|
| Authors | Ching‐Yi Chang (0000-0002-3146-2270, Taipei Medical University), Pei-Ling Wang (Taipei Medical University Hospital), Pei‐ling Wang (0000-0002-4392-3935, National Taiwan University of Science and Technology), Chia‐Jung Li (0000-0002-3773-9015, National Taiwan University of Science and Technology), Chia-Jung Li (National Taiwan University of Science and Technology), Gwo-Jen Hwang (0000-0001-5155-276X, National Taiwan University of Science and Technology, corresponding author) |
| Year | 2025 |
| Volume | 33 |
| Issue | 5 |
| Pages | 3333-3353 |
| Publication date | 2025-05-28 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Interactive Learning Environments (JOURNAL) |
| Journal identifiers | ISSN: 1049-4820 • E-ISSN: 1744-5191 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10494820.2024.2443072 |
| OpenAlex | W4405722964 |
| Language | EN |
| Citations received | 1 |
| References cited | 53 |
The demand for a multi-disciplinary workforce in long-term care is paramount, particularly in the realm of life care services. Art therapy has been recognized as being a promising approach for promoting learners’ empathy and competences for long-term care. However, in traditional art therapy courses, most students who are not interested in artworks or who do not have experience in artwork creation could lack confidence in their ability and motivation to engage in relevant activities, which could hence affect their learning performances. This study proposed a Generative Artificial Intelligence (Generative AI)-based art therapy approach to promote learners’ empathy and art therapy performance in gerontological nursing training. A quasi-experimental design was adopted. The participants were two classes of students from a nursing college. The experimental group with 33 students learned with the Generative AI-based art therapy approach focused on gerontological healthcare activities, whereas the control group with 32 students was taught using the traditional art therapy instruction. Compared to the control group, the experimental group nursing students showed significant improvement in their empathy and art performance. The findings could be a reference to those who intend to use images or graphics generated by generative AI in educational technology research
Empathy · Generative grammar · Medical education · Workforce · Aging and Gerontology Research · Art Therapy and Mental Health · Computer Science · Empathy and Medical Education · Medicine · Nursing · Psychology · Social Psychology · Artificial Intelligence
Self-Directed Learning
The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
Education in the Era of Generative Artificial Intelligence (AI)
G*Power 3
Statistical power analyses using G*Power 3.1
What drives art education massive open online courses continuance intention? Exploring determinants from value–software–hardware–design perspective
The synergy of generative AI and inquiry-based learning
The influence of ChatGPT on student engagement
The ChatGPT Effect
Sentiment evolution with interaction levels in blended learning environments
Client-centered therapy; its current practice, implications, and theory
Culture or Context
Generative AI and Lexicography
Exploring collaborative decision-making
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |