Piccolo Stephen R, Nathan Aparna, Brazas Michelle D, Kandpal Manoj, Miró-Herrans Aida T, Kleinschmit Adam J, McClatchy Susan, Mutheiwana Pertunia, Nikolic Dusanka, Gallo Luciana I, Julius Rolanda Sunaye, Lloret-Llinares Marta, Mulder Nicola, Presgraves Danielle, Shewaramani Sonal, Xool-Tamayo Jorge, Chain Frédéric J J, Sanchez Guerrero Silvia Arantza
Department of Biology, Brigham Young University, Provo, UT, 84602, United States.
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, United States.
Bioinform Adv. 2025 Sep 1;5(1):vbaf169. doi: 10.1093/bioadv/vbaf169. eCollection 2025.
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.
人工智能(AI)工具和技术无疑正在生物信息学教育中得到应用,这反映了教育领域的更广泛趋势。然而,许多教师和学习者可能并未意识到这些工具在生物信息学教育中的全部潜在用途,以及使用它们的有效方法。基于在第六届全球生物信息学教育峰会上进行的讨论,这篇观点文章提供了有关人工智能可用于生成或改编教学内容、为学习者提供个性化帮助以及自动化评估和评分的方式的见解。此外,我们强调了生物信息学学习者为了有效地将人工智能用作生物信息学学习工具而需要培养的重要人工智能技能。我们突出了快速发展的人工智能领域中当前可用的工具,并建议教师或学习者使用此类工具的方式。此外,我们讨论了将人工智能整合到生物信息学教育中相关的关键考虑因素和挑战,包括伦理影响、潜在偏差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开展研究,以更好地了解人工智能工具在实际中的使用情况,并促进其在生物信息学教育中的有效和负责任使用。