在生物信息教育中使用人工智能的机会和考虑
Stephen R Piccolo1, Aparna Nathan2, Michelle D Brazas3
1Department of Biology, Brigham Young University, Provo, UT, 84602, United States.
Bioinformatics advances
|September 3, 2025
概括
人工智能 (AI) 提供了通过生成内容和个性化学习来增强生物信息学教育的新途径. 发展人工智能技能对于学生有效使用这些强大的生物信息学学习工具至关重要.
科学领域:
- 生物信息学教育
- 人工智能应用
背景情况:
- 人工智能工具在教育中越来越多地使用,但它们在生物信息学教育中的全部潜力仍未得到充分探索.
- 教师和学习者可能对有效的人工智能整合策略缺乏认识.
研究的目的:
- 探索人工智能在生物信息教育中的潜在用途.
- 确定生物信息学学习者的基本人工智能技能.
- 讨论人工智能在生物信息教育中的挑战和道德考虑.
主要方法:
- 基于第六届全球生物信息教育峰会的讨论.
- 审查当前的人工智能工具及其在教育中的应用.
- 分析挑战和未来的研究需求.
主要成果:
- 人工智能可以生成/调整教学内容,提供个性化的学习者支持,并自动进行评估.
- 生物信息学学习者的关键人工智能技能包括批判性评估和有效的工具利用.
- 目前的人工智能工具及其实际应用得到了突出说明.
结论:
- 将人工智能纳入生物信息学教育需要仔细考虑道德影响和潜在偏见.
- 需要进一步的研究来理解和促进人工智能工具在生物信息教育中的负责任使用.
- 培养人工智能素养对于教育工作者和学习者来说都至关重要.
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