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

IF 1.2 4区 教育学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yi-Ning Kelly Huang, Matthias Winfried Kleespies, Liu Shiang-Yao
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引用次数: 0

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.

台湾与德国生物学学生对人工智能在精密医学与基因组医学之展望。
人工智能(AI)在生物医学领域受到了极大的关注,它与生物学的融合提供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。本研究以台湾(n = 71)及德国(n = 51)的生物学本科生及研究生为调查对象,探讨他们对人工智能在精准医学及生命科学中的应用,以及如何将人工智能融入教育的看法。探索性因素分析确定了诸如利益感知、风险、道德、接受度和学习人工智能的意愿等维度。调查结果显示,约70%的学生知道该领域的人工智能讨论,但35%的学生承认缺乏基本的技术知识。值得注意的是,在这两个国家,感知利益与学习人工智能的意愿之间存在正相关关系。有趣的是,台湾学生比德国学生更担心人工智能的风险,但对人工智能的接受度和学习意愿更强。此外,德国学生的风险感知与学习人工智能的意愿呈负相关,而台湾学生则没有。这种差异可能与各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高度意愿,生物学领域应该在教育学生这些技术方面处于领先地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biochemistry and Molecular Biology Education
Biochemistry and Molecular Biology Education 生物-生化与分子生物学
CiteScore
2.60
自引率
14.30%
发文量
99
审稿时长
6-12 weeks
期刊介绍: The aim of BAMBED is to enhance teacher preparation and student learning in Biochemistry, Molecular Biology, and related sciences such as Biophysics and Cell Biology, by promoting the world-wide dissemination of educational materials. BAMBED seeks and communicates articles on many topics, including: Innovative techniques in teaching and learning. New pedagogical approaches. Research in biochemistry and molecular biology education. Reviews on emerging areas of Biochemistry and Molecular Biology to provide background for the preparation of lectures, seminars, student presentations, dissertations, etc. Historical Reviews describing "Paths to Discovery". Novel and proven laboratory experiments that have both skill-building and discovery-based characteristics. Reviews of relevant textbooks, software, and websites. Descriptions of software for educational use. Descriptions of multimedia materials such as tutorials on various aspects of biochemistry and molecular biology.
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