人工智能时代基因工程课程改革——基于产出导向教育理念的探索与实践

刘海 卿*, 化 烨, 刘 秀丽, 王 志科, 龚 磊
陇东学院农业与生物工程学院

摘要


本研究基于产出导向教育理念（OBE），将人工智能（AI）技术与基因工程课程深度融合，开展课程改革实践。剖析了基因工程课程现存问题，提出创新性改革策略，包括促进AI与基因工程融合、挖掘课程思政元素、创新作业形式、推动科研成果反哺教学及完善课程评价体系等。实践表明，改革显著提升了学生学习兴趣、参与度、实验技能和应用能力，教学效果显著改善，课程目标达成度和学生满意度达80%以上。本研究为基因工程专业课程改革提供了有益借鉴，推动教育模式优化与创新。

关键词


人工智能；产出导向；基因工程；课程改革

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参考


[1]Khan M S H, Salele N, Hasan M, et al. Factors affecting student readiness towards OBE implementation in engineering education: Evidence from a developing country [J]. Heliyon, 2023, 9(10): e20905-e20921.

[2]Kong Y, Wang W, Rajabov B. New model of college physical education teaching based on the algorithm and data structure of flipped classroom and OBE [J]. Heliyon, 2024,10(11): e31368-e31362.

[3]Li P, Lan X, Ren L, et al. Research and practice of the BOPPPS teaching model based on the OBE concept in clinical basic laboratory experiment teaching [J]. BMC Medicine Education, 2023, 23(1): 882-893.

[4]Hashimoto D A, Witkowski E, Gao L, et al. Artificial intelligence in anesthesiology: current techniques, clinical applications, and limitations [J]. Anesthesiology, 2020, 132(2): 379-394.

[5]Liu N, Shapira P, Yue X. Tracking developments in artificial intelligence research: constructing and applying a new search strategy [J]. Scientometrics, 2021, 126(4): 3153-3192.

[6]Bhat A A, Nisar S, Mukherjee S, et al. Integration of CRISPR/Cas9 with artificial intelligence for improved cancer therapeutics [J]. Journal of Translational Medicine, 2022, 20(1): 534-552.

[7]Hunter B, Hindocha S, Lee R W. The role of artificial intelligence in early cancer diagnosis [J]. Cancers (Basel), 2022, 14(6): 1524-1544.

[8]王青旺，杨玲，罗朝阳，等.“新工科”建设背景下基于OBE理念的“人工智能”课程教学改革[J].西部素质教育，2025，11（01）：13-16.

[9]Ding H, Tian J, Yu W, et al. The application of Artificial Intelligence and big data in the food industry [J]. Foods, 2023, 12(24): 4511-4540.


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