Suppr超能文献

台湾和德国生物专业学生对精准医学和基因组医学中人工智能的看法。

Perspectives on Artificial Intelligence in Precision and Genomic Medicine Among Biology Students in Taiwan and Germany.

作者信息

Huang Yi-Ning Kelly, Kleespies Matthias Winfried, Shiang-Yao Liu

机构信息

Graduate Institute of Science Education National Taiwan Normal University, Taipei, Taiwan.

Department of Bioscience Education and Zoo Biology, Goethe-University Frankfurt, Frankfurt am Main, Germany.

出版信息

Biochem Mol Biol Educ. 2025 Jul-Aug;53(4):389-399. doi: 10.1002/bmb.21905. Epub 2025 May 8.

Abstract

Artificial intelligence (AI) in biomedicine has gained significant attention, and its fusion with biology offers exciting possibilities. Understanding students' perspectives on AI is crucial for developing appropriate lessons. This study surveyed biology undergraduates and postgraduates in Taiwan (n = 71) and Germany (n = 51) to explore their perspectives on AI in precision medicine and life sciences and its integration into their education. Exploratory Factor Analysis identified dimensions such as perception of benefits, risks, ethics, acceptance, and willingness to learn AI. The findings revealed that about 70% of students were aware of AI discussions in the field, but 35% admitted lacking basic knowledge of the technologies. Notably, there was a positive correlation between perceiving benefits and the willingness to learn AI in both countries. Interestingly, Taiwanese students expressed more concerns about AI risks than German students but showed greater acceptance and willingness to learn AI. Additionally, a negative correlation between risk perception and willingness to learn AI was found among German students but not among Taiwanese students. This difference may relate to variations in AI education between the countries. Given the high willingness to incorporate AI into biology curricula, the field of biology should lead in educating students about these technologies.

摘要

人工智能(AI)在生物医学领域已受到广泛关注,它与生物学的融合带来了令人兴奋的可能性。了解学生对人工智能的看法对于开发合适的课程至关重要。本研究对台湾地区(n = 71)和德国(n = 51)的生物学本科生和研究生进行了调查,以探讨他们对人工智能在精准医学和生命科学中的看法及其融入教育的情况。探索性因素分析确定了诸如对益处的认知、风险、伦理、接受度以及学习人工智能的意愿等维度。研究结果显示,约70%的学生了解该领域有关人工智能的讨论,但35%的学生承认缺乏这些技术的基础知识。值得注意的是,在两个国家中,对益处的认知与学习人工智能的意愿之间均存在正相关。有趣的是,台湾学生比德国学生对人工智能风险表达了更多担忧,但对人工智能的接受度和学习意愿更高。此外,德国学生中发现风险认知与学习人工智能的意愿之间存在负相关,而台湾学生中未发现这种负相关。这种差异可能与两国人工智能教育的差异有关。鉴于将人工智能纳入生物学课程的意愿很高,生物学领域应率先对学生进行这些技术的教育。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验