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Yinghua Qin

As seen in: Nature
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Articles

Mixed-methods study on GenAI Usage, dependence behaviors, and standardized application paths among Chinese medical students

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By Ruifeng Li, Wuxiang Shi, Rui Quan, Jinyu Wu, Yanhui Li, Wenjiao Li, Shujun Liu, Yao Dong, Liujie Yang, Zhiwei Rong, Yinghua Qin, Liangru Zhou, Liujie Fu, Kunyu Zhaoyang, Liji Yang
| Nature
Abstract Generative artificial intelligence (GenAI) is reshaping medical education while fostering technological dependence among students. This study employed an explanatory sequential mixed-methods design. In the quantitative phase, an empirical analysis was conducted using survey data collected from a sample of 1295 Chinese medical students. The subsequent qualitative phase involved thematic analysis of interview transcripts from 16 medical educators to elucidate the underlying mechanisms.
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The technologies that are going to transform business

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By David Marshall, Yinghua Qin
| VMblog.com
Industry executives and experts share their predictions for 2020. Read them in this 12th annual VMblog.com series exclusive.
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