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Yung-Ming Cheng – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to examine whether media richness (MR), human-system interaction (HSI) and human-human interaction (HHI) as technological feature antecedents to medical professionals' learning engagement (LE) can affect their learning…
Descriptors: MOOCs, Academic Persistence, Medical Education, Learner Engagement
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David B. Wandera – Reading Research Quarterly, 2024
We live in an age of artificial intelligence (AI). Open AI, an American artificial intelligence organization, claims that generative chatbots are here to stay. Although computer technology remains unevenly distributed, the presence of AI continues to be felt in many areas of daily life. Further, AI development happens in few countries whose…
Descriptors: Artificial Intelligence, Cultural Influences, Childrens Literature, Colonialism
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Chun-Chun Chang; Gwo-Jen Hwang; Yun-Fang Tu; Chiu-Lin Lai; Biyun Huang – Interactive Learning Environments, 2024
In recent years, smart healthcare technologies used to facilitate precision medicine in clinical practice have increasingly become a topic of discussion. Nurses and nurse preceptors are critical professionals in hospitals, and are also the frontline staff using smart healthcare. The purpose of this study was to investigate nurses' and nurse…
Descriptors: Foreign Countries, Nurses, Practicum Supervision, Professional Personnel
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Yung-Hsiang Hu – Educational Technology & Society, 2024
Ethical decision-making is challenging for most students. Values clarification exercises (VCEs) can help reduce decisional conflicts and feelings of regret. Scholars have suggested Ethical decision-making is challenging for most students. Values clarification exercises (VCEs) can help reduce decisional conflicts and feelings of regret. Scholars…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Business Administration Education