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基于人工智能的个性化学习路径优化与实践-以功能基因组学为例. (2025). 教育学刊, 183-186. https://doi.org/10.62836/jer.v3n7.0551
Copyright (c) 2025 周英钰, 陆嘉, 宋珊珊, 张博雅, 吴英杰, 卢卫红

This work is licensed under a Creative Commons Attribution 4.0 International License.
基于人工智能的个性化学习路径优化与实践-以功能基因组学为例
周英钰1,3,陆嘉2,3,*,宋珊珊1,张博雅1,3,*,吴英杰1,*,卢卫红1,3,*
1. 哈尔滨工业大学医学与健康学院,黑龙江哈尔滨;
2. 哈尔滨工业大学机电工程学院,黑龙江哈尔滨;
3. 哈尔滨工业大学郑州研究院,河南郑州
摘要:聚焦于利用人工智能技术优化个性化学习路径,特别是在功能基因组学这一生物医学前沿领域的教育应用。通过结合AI技术和深度学习方法,旨在打破传统教育模式的局限,提供定制化的学习体验, 从而提高教学效果和学习效率。有助于培养具有专业技能的人才,推动遗传性疾病研究和治疗的进步, 对生物医学领域的发展具有重要意义。
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[3] Bundy JG, Davey MP, Viant MR. Environmentalmetabolomics: a critical review and future perspectives[J].Metabolomics, 2009, 5: 3-21.
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