在生物信息学教育中使用人工智能的机会和考虑。

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2025-09-01 eCollection Date: 2025-01-01 DOI:10.1093/bioadv/vbaf169
Stephen R Piccolo, Aparna Nathan, Michelle D Brazas, Manoj Kandpal, Aida T Miró-Herrans, Adam J Kleinschmit, Susan McClatchy, Pertunia Mutheiwana, Dusanka Nikolic, Luciana I Gallo, Rolanda Sunaye Julius, Marta Lloret-Llinares, Nicola Mulder, Danielle Presgraves, Sonal Shewaramani, Jorge Xool-Tamayo, Frédéric J J Chain, Silvia Arantza Sanchez Guerrero
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引用次数: 0

摘要

人工智能(AI)工具和技术无疑正在生物信息学教育中使用,反映了教育的更广泛趋势。然而,许多教师和学习者可能不知道这些工具在生物信息学教育中的潜在用途的全部范围,以及使用它们的有效实践。在第六届全球生物信息学教育峰会上举行的讨论的基础上,这篇观点文章提供了关于人工智能可能用于生成或调整教学内容,为学习者提供个性化帮助以及自动评估和评分的方法的见解。此外,我们强调了人工智能技能对于生物信息学学习者的重要发展,以便有效地将人工智能作为生物信息学学习工具。我们重点介绍了快速发展的人工智能领域中目前可用的工具,并提出了教师或学习者可能使用这些工具的方法。此外,我们还讨论了将人工智能整合到生物信息学教育中的关键考虑因素和挑战,包括伦理影响、潜在偏见以及批判性评估人工智能生成内容的必要性。最后,我们强调需要进一步研究,以更好地了解人工智能工具在实践中的使用情况,并使其在生物信息学教育中得到有效和负责任的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Opportunities and considerations for using artificial intelligence in bioinformatics education.

Artificial intelligence (AI) tools and techniques are undoubtedly being used in bioinformatics education, reflecting broader trends in education. However, many instructors and learners may be unaware of the full scope of potential uses for these tools within bioinformatics education, as well as effective practices for using them. Building on discussions held at the 6th Global Bioinformatics Education Summit, this perspective article provides insights about ways that AI might be used to generate or adapt instructional content, provide personalized help for learners, and automate assessment and grading. Additionally, we highlight AI skills that are important for bioinformatics learners to develop in order to effectively use AI as a bioinformatics learning tool. We highlight currently available tools in the quickly evolving AI landscape and suggest ways that instructors or learners might use such tools. Furthermore, we discuss key considerations and challenges associated with integrating AI into bioinformatics education, including ethical implications, potential biases, and the need to critically evaluate AI-generated content. Finally, we highlight the need for further research to better understand how AI tools are being used in practice and empower their effective and responsible use in bioinformatics education.

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