Promoting Patients' Cognitive Engagement With Robot‐Based SIPE Training: A Randomised Controlled Study

ABSTRACT Background Health education aims to encourage individuals to voluntarily take action to improve their health. Throughout this process, adult learners can make informed decisions to change their behaviours and enhance their well‐being. In medical institutions, employing appropriate instructional strategies to facilitate changes in health behaviours is crucial for enhancing patients' health knowledge, attitudes, and skills. Objective Health education courses within hospitals are based on the Selection‐Instruction‐Practicing‐Evaluation (SIPE) model, which is grounded in the self‐determination theory (SDT). Due to constraints in human resources, the traditional SIPE (T‐SIPE) mode is generally carried out with one‐way practice without evaluating learners' outcomes or providing personalised feedback. This limitation hampers patients' self‐care abilities and self‐confidence. By referencing the embodied cognition theory, a robot‐based SIPE (R‐SIPE) approach was proposed to enhance patients' cognitive engagement. Method To assess the approach, a true experiment was conducted in a health education course by randomly assigning 90 subjects to the experimental and control groups, adopting the R‐SIPE and T‐SIPE modes, respectively. Results and Conclusions The results revealed that the R‐SIPE group showed better learning achievement, self‐confidence, technology acceptance, and learning satisfaction compared to the T‐SIPE group. It was concluded that using robots to provide interactive learning, personalised materials, practice tests, and evaluation had great potential in health education. It is therefore suggested that different health education courses be developed to enhance patients' self‐care abilities and increase their confidence in dealing with diseases.

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Publication Details

Journal
Journal of Computer Assisted Learning
Published
2025-04-21
DOI
https://doi.org/10.1111/jcal.70047
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
4.96

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article

Promoting Patients' Cognitive Engagement With Robot‐Based SIPE Training: A Randomised Controlled Study

Gwo‐Jen Hwang, Chun‐Chun Chang, Liang‐Shiou Ou
2 citations
Journal of Computer Assisted Learning
AI in Service Interactions
4.96
article

Promoting Patients' Cognitive Engagement With Robot‐Based SIPE Training: A Randomised Controlled Study

Gwo‐Jen Hwang, Chun‐Chun Chang, Liang‐Shiou Ou
article en
2 citations

Abstract

ABSTRACT Background Health education aims to encourage individuals to voluntarily take action to improve their health. Throughout this process, adult learners can make informed decisions to change their behaviours and enhance their well‐being. In medical institutions, employing appropriate instructional strategies to facilitate changes in health behaviours is crucial for enhancing patients' health knowledge, attitudes, and skills. Objective Health education courses within hospitals are based on the Selection‐Instruction‐Practicing‐Evaluation (SIPE) model, which is grounded in the self‐determination theory (SDT). Due to constraints in human resources, the traditional SIPE (T‐SIPE) mode is generally carried out with one‐way practice without evaluating learners' outcomes or providing personalised feedback. This limitation hampers patients' self‐care abilities and self‐confidence. By referencing the embodied cognition theory, a robot‐based SIPE (R‐SIPE) approach was proposed to enhance patients' cognitive engagement. Method To assess the approach, a true experiment was conducted in a health education course by randomly assigning 90 subjects to the experimental and control groups, adopting the R‐SIPE and T‐SIPE modes, respectively. Results and Conclusions The results revealed that the R‐SIPE group showed better learning achievement, self‐confidence, technology acceptance, and learning satisfaction compared to the T‐SIPE group. It was concluded that using robots to provide interactive learning, personalised materials, practice tests, and evaluation had great potential in health education. It is therefore suggested that different health education courses be developed to enhance patients' self‐care abilities and increase their confidence in dealing with diseases.

Journal of Computer Assisted LearningVol. 41(3)
Chang Gung University of Science and Technology (TW), National Taiwan University of Science and Technology (TW), Chang Gung University (TW), Chang Gung Memorial Hospital (TW), National Taichung University of Education (TW), Yuan Ze University (TW)
Ministry of Education, India, National Taiwan University, National Taiwan University of Science and Technology, National Science and Technology Council
Openalex Percentile: Top 6%
AI in Service Interactions
4.96
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