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OpenAI背景下测绘工程专业人才培养模式改革与实践
Reform and Practice of Talent Cultivation Model for Surveying and Mapping Majors under Background of OpenAI
【摘要】 面对人工智能技术的飞速发展,传统学科面临行业转型危机。据此,首先分析了OpenAI背景下测绘工程专业人才培养模式的改革方向。并以昆明理工大学测绘工程系为例,通过对知识体系更新、充实师资力量、跨学科融合和产学融合提出具体改革建议,评估改革效果,分析存在的问题和未来展望,以期提供经验参考。
【Abstract】 Confronted with the swift advancement of artificial intelligence technology, traditional disciplines are grappling with the imperative of industry transformation.This paper undertakes a comprehensive analysis of the reform trajectory in the talent training model for surveying and mapping engineering against the backdrop of OpenAI.Taking on Department of Surveying and Mapping Engineering at Kunming University of Science and Technology as a case study, the paper delineates specific reform proposals.These encompass the revitalization of the knowledge system, enhancement of faculty expertise, fostering interdisciplinary collaboration, and promoting integration between academia and industry.The paper concludes with an assessment of the reform’s impact, a scrutiny of existing challenges, and a forward-looking perspective, aiming to serve as a practical empirical reference.
【Key words】 OpenAI; surveying and mapping majors; machine learning; talent cultivation model;
- 【文献出处】 地矿测绘 ,Surveying and Mapping of Geology and Mineral Resources , 编辑部邮箱 ,2024年02期
- 【分类号】P20-4;G642
- 【下载频次】8